Journal Articles
- Preethi, B.S., Mishra, P., Agarwal, R. (2025). Sales Prediction of FMCG Products in E-Commerce Platform. In: Bansal, J.C., Borah, S., Hussain, S., Salhi, S. (eds) Computing and Machine Learning. CML 2024. Lecture Notes in Networks and Systems, vol 1144. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-97-7839-3_23 - Vignesh Krishnamurthy, Paramesh G and Shinu Abhi, “Fuel Efficient Self-Driven Vehicle using CNN with V2V Communication”, In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2025, pp. 223-236.
doi: https://doi.org/10.56155/978-81-955020-9-7-22
Conference Presentations
- Dheeraj Sharma, J B Simha, Rashmi Agarwal, “Fall Detection using Wi-Fi Signal: Adaptive Residual Dense Network with Convolution Black Attention Module and Bio-Inspired Organization Algorithm,” 3rd Congress on Control, Robotics, and Mechatronics (CRM2025), February 01-02, 2025.
- Parth Acharya, Shinu Abhi, Rashmi Agarwal, “Advance Detection and Investigation using GRR Framework on AWS EKS,” 3rd Congress on Control, Robotics, and Mechatronics (CRM2025), February 01-02, 2025.
- Prashant Jha, J B Simha, Rashmi Agarwal, “Optimized Brain Region Identification Using Adaptive Total Variation Denoising and Precision Semantic Segmentation,” International Conference on Information Technology and Artificial Intelligence (ITAI 2025), January 24-25, 2025.
- Naveen Kumar S, Dr . J B Simha, Kiran Kumar K V, “Revenue Forecasting for an Agritech Platform,” 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT 2025), February 5-7, 2025.
Journal Articles
- Patel, S., Agarwal, R., Abhi, S., Jyoti, R. (2024). A Modest Approach Toward Cloud Security Hygiene. In: Roy, N.R., Tanwar, S., Batra, U. (eds) Cyber Security and Digital Forensics. REDCYSEC 2023. Lecture Notes in Networks and Systems, vol 896. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-99-9811-1_17 - A. K. Singh, J. B. Simha, and R. Agarwal, “Prediction of Intermittent Demand Occurrence using Machine Learning”, EAI Endorsed Trans IoT, vol. 10, Mar. 2024.
doi: https://doi.org/10.4108/eetiot.5381 - Subramanian, G., Agarwal, R. (2024). Smart Nudge Framework for Digital Platforms. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Advances in Computational Intelligence. IJCACI 2022. Algorithms for Intelligent Systems. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-97-0180-3_50 - Shrivastava, S., Shukla, R., Abhi, S., Agarwal, R. (2024). Assessing Student Engagement Levels Using Speech Emotion Recognition. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Advances in Computational Intelligence. IJCACI 2022. Algorithms for Intelligent Systems. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-97-0180-3_14 - Vallivel, P., Agarwal, R., Simha, J.B. (2024). A Smart Voice Bot with Text Classifier. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Advances in Computational Intelligence. IJCACI 2022. Algorithms for Intelligent Systems. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-97-0180-3_49 - Singh, S.K., Abhi, S., Agarwal, R. (2024). Lead Conversion and Scoring with Machine Learning. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Advances in Computational Intelligence. IJCACI 2022. Algorithms for Intelligent Systems. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-97-0180-3_36 - Patnana Sayesu, “Enhancing Cloud Security Through Dynamic Threat Intelligence Integration,” Journal of Harbin Engineering University, Vol 45, No. 01, January 2024.
doi: https://harbinengineeringjournal.com/index.php/journal/article/view/2359 - Poornima, A., Agarwal, R., Simha, J.B. (2024). Automated Literature Review Using Large Language Models. In: Tiwari, R., Saraswat, M., Pavone, M. (eds) Proceedings of International Conference on Computational Intelligence. ICCI 2023. Algorithms for Intelligent Systems. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-97-3526-6_32 - Kousik Mallick, Akshay Kulkarni, Rashmi Agarwal, “Unlocking the Potential of Sales Call Analysis: A Breakthrough with OpenAI GPT,” Hard copy Print: IPE Journal of Management, Vol 14, No 2, ISSN 2249-9040, pp 110-119, January-June, 2024.
- Arvind G, Shinu Abhi, Rashmi Agarwal, “Three Layered Operational Technology Design for Process and Manufacturing Industries,” Hard copy Print: IPE Journal of Management, Vol 15, No 2(i), ISSN 1906-9685, pp 173-181, April-June, 2024.
- Bharadwaz Sripada, Shinu Abhi, J B Simha, “Real Time Two Stage Image Classification Model for Autonomous Vehicles,” Hard copy Print: IPE Journal of Management, Vol 14, No 2(i), ISSN 1906-9685, pp 81-91, April-June, 2024.
- Hitesh Sanwal, Akshay Kulkarni, Rashmi Agarwal, “ElevateCX: NLP-Powered NPS Intelligence,” Hard copy Print: IPE Journal of Management, Vol 14, No 2(i), ISSN 1906-9685, pp 166-172, April-June, 2024.
- Kathiresan R S, Shinu Abhi, Rashmi Agarwal, “Employee Feedback Evaluation- Topic Modelling and Sentiment Analysis with Transformers,” Hard copy Print: IPE Journal of Management, Vol 15, No 2(i), ISSN 1906-9685, pp 158-165, April-June, 2024.
- Muthu Krishna S, Sridhar G, Shinu Abhi, Rashmi Agarwal, “Revolutionizing Network Security: Embracing the Zero Trust Paradigm,” Hard copy Print: IPE Journal of Management, Vol 15, No 2(i), ISSN 1906-9685, pp 92-101, April-June, 2024.
- Kumar, A., Simha, J.B., Abhi, S. (2024). A Deep Learning Approach for Evaluating Children’s Handwriting. In: Senjyu, T., So–In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. SmartCom 2024 2024. Lecture Notes in Networks and Systems, vol 948. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-97-1329-5_12 - Malathi M, J B Simha, “Direction Detection of Selected Pharmaceutical Stocks using Machine learning”, Empirical Economics Letters, vol. 23, no. Special Issue 3, pp. 21–36, May 2024.
doi: https://doi.org/10.5281/zenodo.11301579 - Anand, V., Simha, J.B., Agarwal, R. (2024). Anomaly Prediction in Real-Time Water Flow Data—Machine Learning Versus Statistical Models. In: Senjyu, T., So–In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. SmartCom 2024 2024. Lecture Notes in Networks and Systems, vol 949. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-97-1313-4_11 - Sugantham V, A.J., Mishra, P., Rashmi Agarwal (2024). An Improved Method of Phishing URL Detection Using Machine Learning. In: Senjyu, T., So–In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. SmartCom 2024 2024. Lecture Notes in Networks and Systems, vol 949. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-97-1313-4_21 - Fathima, N., Simha, J.B., Abhi, S. (2024). Transfer Learning for Speaker Verification with Short-Duration Audio. In: Senjyu, T., So–In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. SmartCom 2024 2024. Lecture Notes in Networks and Systems, vol 949. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-97-1313-4_17
Conference Proceedings
- B. S, N. K. Pathi, S. Abhi and R. Agarwal, “AccessFlex: Flexible Attribute Based Access Control Scheme for Sharing Access Privileges in Cloud Storage,” 2024 International Conference on Electrical, Computer and Energy Technologies (ICECET), Sydney, Australia, 2024, pp. 1-6.
doi: https://ieeexplore.ieee.org/document/10698339 - N. M. Jyothi, J. B. Simha and K. V. Kiran Kumar, “Word Prediction from Medical Prescription via Transfer Learning with Pre-trained CNN, GAN and BiLSTM Integration,” 2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON), Bengaluru, India, 2024, pp. 1-7.
doi: https://doi.org/10.1109/NMITCON62075.2024.10698946 - R. K. Singh, P. Mishra and S. Abhi, “FlexIPAccess: Dynamic Attribute-based IP analysis using Machine Learning Approach,” 2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC), Gwalior, India, 2024, pp. 1387-1393.
doi: https://ieeexplore.ieee.org/document/10730957
Conference Presentations
- Anand V, J. B. Simha and Rashmi Agarwal, “Anomaly Prediction in Real-Time Water Flow Data-Machine Learning Vs Statistical Models,” Eigth International Conference on Smart Trends in computing and communications, 2024.
- Noor Fatima, J. B. Simha, Shinu Abhi, “Transfering Learning for Speaker Verification with Short Duration Audio,” Eigth International Conference on Smart Trends in computing and communications, 2024.
- Amy Joyce Sugantham, Pradeepta Mishra, Rashmi Agarwal, “An Improved Method PhishingURL Detection using Machine- Learning,” Eigth International Conference on Smart Trends in computing and communications, 2024.
- Ashutosh Kumar, J. B. Simha, Shinu Abhi, “A Deep Learning Approach for Evaluating Children’s Handwriting,” Eigth International Conference on Smart Trends in computing and communications, 2024.
- Kousik Mallick, Akshay Kulkarni, Rashmi Agarwal, “A Deep Learning Approach for Evaluating Children’s Handwriting,” International Conference on Innovation, Automation and Future Trends in Business, 2024.
- Arvind G, Shinu Abhi, Rashmi Agarwal, “Three Layered Operational Technology Design for Process and Manufacturing Industries,” International Conference on Innovation, Automation and Future Trends in Business, 2024.
- Bharadwaz Sripada, Shinu Abhi, J B Simha, “Real Time Two Stage Image Classification Model for Autonomous Vehicles,” International Conference on Innovation, Automation and Future Trends in Business, 2024.
- Hitesh Sonwal, Akshay Kulkarni, Rashmi Agarwal, “ElevateCX: NLP-Powered NPS Intelligence,” International Conference on Innovation, Automation and Future Trends in Business, 2024.
- Kathiresan R S, Shinu Abhi, Rashmi Agarwal, “Employee Feedback Evaluation- Topic Modelling and Sentiment Analysis with Transformers,” International Conference on Innovation, Automation and Future Trends in Business, 2024.
- Muthu Krishna S, Sridhar G, Shinu Abhi, Rashmi Agarwal, “Revolutionizing Network Security: Embracing the Zero Trust Paradigm,” International Conference on Innovation, Automation and Future Trends in Business, 2024.
- Datta Aluru Narayana, Shinu Abhi, Nishanth Kumar, “Governance and System Controls for Byod to Secure to Corporate Resources,” International Conference on Computing and Machine Learning (CML-2024), March 29-30, 2024.
- Preeti BS, Pradeepta Mishra, Rashmi Agarwal, “Sales Prediction of FMGG Products in E-Commerce Platform,” International Conference on Computing and Machine Learning (CML-2024), March 29-30, 2024.
- Deepti Hiriyur Nagaraj, Shinu Abhi, Rashmi Agarwal, “Cybersecurity Awareness: Gamified Learning through Phishing Analysis,” International Conference on Innovative Approaches in Engineering & Technology (ICIAET – 24),April 5-6, 2024.
- Ravikumar R H, Shinu Abhi, Rashmi Agarwal, “Recommendation of Indian Credit Card Using Topic Modelling on Rewards and Offers,” International Conference on Innovative Approaches in Engineering & Technology (ICIAET – 24),April 5-6, 2024.
- Mohd Arshi, Nishanth Kumar Pathi, Rashmi Agarwal, “Pdf Guard- Advanced Malicious Pdf Detection Tool,” International Conference on Innovative Approaches in Engineering & Technology (ICIAET – 24),April 5-6, 2024.
- Mallikarjuna, Jay B Simha, Shinu Abhi , “Kannada Music Genre Classification Using Audio Analytics, Machine Learning and Deep Learning,” International Conference on Data Science and Application (ICDSA 2024), Jaipur, India, July 17-19, 2024.
- Shameer Babu, Pradyumn Nand, Shinu Abhi, “Enhanced Anomaly Detection in Secure Cloud Networks using Machine Learning,” International Conference on Data Science and Application (ICDSA 2024), Jaipur, India, July 17-19, 2024.
- Shivpriya Venkatarna, Krishnakumar Tiwari, Rashmi Agarwal, “Order Visibility: Supply chain order milestone prediction,” World Conference on Applied Intelligence and Computing (AIC 2024), Jaipur, India, July 17-19, 2024.
- Ajith, Soumyo Maity, Rashmi Agarwal, “Trustworthy Banking Data A novel Information Security Framework integrated with ML Prediction,” 5th Congress on Intelligent System (CIS).
- Joy Ramachandran, “A zero trusted security paradigm for banking transaction,” 3rd International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS).
- Vasudev Hassan Narayana, Bharatheesh Jay Simha, Rashmi Agarwal, “Revenue and Unit Forecasting Using Deep Learning,” 6th International Conference on Communication and Intelligent Systems (ICCIS 2024).
- Prakash Koneti, J B Simha, Rashmi Agarwal, “Leafy Vegetable Freshness Classification using Transfer learning,” Third Congress on Smart Computing Technologies (CSCT 2024), December 14-15, 2024.
- Lokendra Sondhiya, Nishanth Kumar Pathi, Rashmi Agarwal, “A Framework for Automating Compliance as Code using AWS Config and Ansible,” Third Congress on Smart Computing Technologies (CSCT 2024), December 14-15, 2024.
- R Thogaivani, Yuvaraju M and Rashmi Agarwal, “Ship Target Detection om Synthetic Aperture Radar Imagery using Deep Learning,” Third Congress on Smart Computing Technologies (CSCT 2024), December 14-15, 2024.
- Anil Kumar, J B Simha, Rashmi Agarwal, “Machine learning based Web Application Firewall for Real-Time Threat Detection,”Conference on Engineering Informatics 2024 (ICEI 2024), November 26-28, 2024.
- Vignesh Krishnamurthy, Pramesh G, and Shinu Abhi, “Fuel Efficient Self-Driven Vehicle using CNN with V2V Communication,” World Conference on Applied Intelligence and Computing (AIC 2024)
Patents Published
- Nidhi Agarwal, Pradeepta Mishra, Rashmi Agarwal, Shinu Abhi, “Plastic Density Detection in Rivers: A Generalized AI-Based Approach,” published as IPA 202441003544 on February 2024.
- Ranajit Jana, Pradeepta Mishra, Shinu Abhi, Rashmi Agarwal, “Sensitivity Scoring System for Personally Identifiable Information (PII),” published as IPA IPA 202441078002 on October 2024.
Journal Articles
- Patnana Sayesu, “Advanced Techniques for Secure and Efficient Cloud Data Deduplication with Re-Encryption,” International Journal of Enhanced Research in Management & Computer Applications, Vol. 12 Issue 6, June, 2023.
doi: https://www.erpublications.com/uploaded_files/download/patnana-sayesu_jwtHQ.pdf - Patnana Sayesu, “Unmasking the Shadows: A Multi-Dimensional Approach for Cyberbullying Detection in Social Media Networks,” International Journal for Research in Applied Science & Engineering Technology (IJRASET), Vol. 11, Issue VIII, August 2023.
doi: https://www.ijraset.com/best-journal/unmasking-the-shadows-a-multidimensional-approach-for-cyberbullying-detection-in-social-media-networks. - Karki, G., Simha, J.B., Agarwal, R. “AI-Enabled Automation Solution for Utilization Management in Healthcare Insurance,” Nandan Mohanty, S., Garcia Diaz, V., Satish Kumar, G.A.E. (eds) Intelligent Systems and Machine Learning. ICISML 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 471. Springer, Cham.
doi: https://doi.org/10.1007/978-3-031-35081-8_24 - Ponde, S., Kulkarni, A., Agarwal, R. (2023). AI/ML Based Sensitive Data Discovery and Classification of Unstructured Data Sources. In: Nandan Mohanty, S., Garcia Diaz, V., Satish Kumar, G.A.E. (eds) Intelligent Systems and Machine Learning. ICISML 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 471. Springer, Cham.
doi: https://doi.org/10.1007/978-3-031-35081-8_31 - Shashidhara, G.M., Agarwal, R., Suryavamshi, J. (2023). Identify Melanoma Using CNN. In: Nandan Mohanty, S., Garcia Diaz, V., Satish Kumar, G.A.E. (eds) Intelligent Systems and Machine Learning. ICISML 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 470. Springer, Cham.
doi: https://doi.org/10.1007/978-3-031-35078-8_14 - Jha, A.C., Jha, S.K., Simha, J.B. (2023). Development of Analytical DataMart and Data Pipeline for Recruitment Analytics. In: Nandan Mohanty, S., Garcia Diaz, V., Satish Kumar, G.A.E. (eds) Intelligent Systems and Machine Learning. ICISML 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 471. Springer, Cham.
doi: https://doi.org/10.1007/978-3-031-35081-8_5 - Sarkar, S., Agarwal, R. (2023). Pattern Discovery and Forecasting of Attrition Using Time Series Analysis. In: Nandan Mohanty, S., Garcia Diaz, V., Satish Kumar, G.A.E. (eds) Intelligent Systems and Machine Learning. ICISML 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 471. Springer, Cham.
doi: https://doi.org/10.1007/978-3-031-35081-8_7 - James, V., Kulkarni, A., Agarwal, R. (2023). Resume Shortlisting and Ranking with Transformers. In: Nandan Mohanty, S., Garcia Diaz, V., Satish Kumar, G.A.E. (eds) Intelligent Systems and Machine Learning. ICISML 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 471. Springer, Cham.
doi: https://doi.org/10.1007/978-3-031-35081-8_8 - Borade, A., Agarwal, R. (2023). Securing Outsourced Personal Health Records on Cloud Using Encryption Techniques. In: Nandan Mohanty, S., Garcia Diaz, V., Satish Kumar, G.A.E. (eds) Intelligent Systems and Machine Learning. ICISML 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 470. Springer, Cham.
doi: https://doi.org/10.1007/978-3-031-35078-8_17 - Mathew, S., Jayaprakash, M.D., Agarwal, R. (2023). An Interactive Web Solution for Electronic Health Records Segmentation and Prediction. In: Nandan Mohanty, S., Garcia Diaz, V., Satish Kumar, G.A.E. (eds) Intelligent Systems and Machine Learning. ICISML 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 470. Springer, Cham.
doi: https://doi.org/10.1007/978-3-031-35078-8_8 - Nigam, T., Agarwal, R. (2023). Predicting the Likeliest Customers; Minimizing Losses on Product Trials Using Business Analytics. In: Nandan Mohanty, S., Garcia Diaz, V., Satish Kumar, G.A.E. (eds) Intelligent Systems and Machine Learning. ICISML 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 470. Springer, Cham.
doi: https://doi.org/10.1007/978-3-031-35078-8_41 - Panda, S.S., Pathi, N.K., Abhi, S. (2023). Securing a SaaS Application on AWS Cloud. In: Roy, S., Sinwar, D., Dey, N., Perumal, T., Tavares, J.M.R.S. (eds) Innovations in Computational Intelligence and Computer Vision. ICICV 2022. Lecture Notes in Networks and Systems, vol 680. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-99-2602-2_55 - A. Limbare and R. Agarwal, “Demand Forecasting and Budget Planning for Automotive Supply Chain”, EAI Endorsed Trans IoT, Vol. 10, Nov. 2023.
doi: https://doi.org/10.4108/eetiot.4514 - Anand A, Simha J, Abhi S. Automated System for forecasting and capacity management in BPO. EAI Endorsed Trans Energy Web, Nov. 2023.
doi: https://doi.org/10.4108/ew.4460 - Mohan, A., Agarwal, R., Simha, J.B. (2023). Direction Detection of Select Stocks with Machine Learning. In: Pundir, A.K.S., Yadav, A., Das, S. (eds) Recent Trends in Communication and Intelligent Systems. ICRTCIS 2023. Algorithms for Intelligent Systems. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-99-5792-7_18 - Niloor, C., Agarwal, R., Mishra, P. (2023). Using MNIST Dataset for De-Pois Attack and Defence. In: Pundir, A.K.S., Yadav, A., Das, S. (eds) Recent Trends in Communication and Intelligent Systems. ICRTCIS 2023. Algorithms for Intelligent Systems. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-99-5792-7_17 - Balasubrani, T., Agarwal, R., Jayaprakash, M.D. (2023). Prediction of Fatal Accidents in the Petrochemical Industry with Machine Learning. In: Pundir, A.K.S., Yadav, A., Das, S. (eds) Recent Trends in Communication and Intelligent Systems. ICRTCIS 2023. Algorithms for Intelligent Systems. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-99-5792-7_19 - S. Walia, Q. M. Kaleem, and S. Abhi, “Mobile Security Operation Centre (mSOC)”, EAI Endorsed Trans IoT, vol. 10, Dec. 2023.
doi: https://doi.org/10.4108/eetiot.4586 - Surendran, S., Agarwal, R. (2023). Smart Knowledge Management for IT Services. In: Tripathi, A.K., Anand, D., Nagar, A.K. (eds) Proceedings of World Conference on Artificial Intelligence: Advances and Applications. WWCA 1997. Algorithms for Intelligent Systems. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-99-5881-8_2 - Sandeep R Diddi, Akshay Kulkarni, “Machine Learning for Sustainable Agriculture: Enhancing Resource Efficiency and Environmental Conservation,” International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN: 2456-3307, Volume 9, Issue 4, pp.365-370, July-August-2023.
doi: https://ijsrcseit.com/home/issue/view/article.php?id=CSEIT2390431 - Sundaram, V., Abhi, S., Agarwal, R. (2023). Building a Multi-class Prediction App for Malicious URLs. In: Woungang, I., Dhurandher, S.K., Pattanaik, K.K., Verma, A., Verma, P. (eds) Advanced Network Technologies and Intelligent Computing. ANTIC 2022. Communications in Computer and Information Science, vol 1798. Springer, Cham.
doi: https://doi.org/10.1007/978-3-031-28183-9_32 - Kulkarni, V.V., Hulipalled, V.R., Kundu, M., Simha, J.B., Abhi, S. (2023). Thermal Image-Based Fault Detection Using Machine Learning and Deep Learning in Industrial Machines: Issues-Challenges and Emerging Trends. In: Shakya, S., Tavares, J.M.R.S., Fernández-Caballero, A., Papakostas, G. (eds) Fourth International Conference on Image Processing and Capsule Networks. ICIPCN 2023. Lecture Notes in Networks and Systems, vol 798. Springer, Singapore.
doi: https://doi.org/10.1007/978-981-99-7093-3_39 - Yashaswini Viswanath, Sudha Jamthe, Suresh Lokiah, “Introducing Inclusive Construct Label-Centric Approach for Model Performance Enhancement in Autonomous Vehicles, “Association of Data Scientists (ADaSci),” January 2023.
doi: https://adasci.org/introducing-inclusive-construct-label-centric-approach-for-model-performance-enhancement-in-autonomous-vehicles/
Conference Proceedings
- K. R. K., D. Arora, S. Abhi and A. Bhagat, “An AI-based Cognitive Chatbot for VMware Troubleshooting,” 2023 10th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2023, pp. 957-961.
doi: https://ieeexplore.ieee.org/document/10112322 - A. Kashinath, R. Agarwal and M. D. J, “Prediction of Delays in Invoice Payments Using Machine Learning,” 2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG), Indore, India, 2023, pp. 1-6.
doi: https://doi.org/10.1109/ICTBIG59752.2023.10455972 - N. Bv, J. B. Simha, S. Abhi and K. C. S, “Deploying NLP Techniques for Earnings Call Transcripts for Financial Analysis: A Reverse Phenomenon Paradigm,” 2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal, 2023, pp. 368-375.
doi: https://doi.org/10.1109/I-SMAC58438.2023.10290494 - K. Kumar, J. Simha and R. Agarwal, “Retail Shelf Planning Using YOLO V8,” 2023 Global Conference on Information Technologies and Communications (GCITC), Bangalore, India, 2023, pp. 1-8.
doi: https://doi.org/10.1109/GCITC60406.2023.10426304 - S. S. Anand, S. Vijayaraghavan and S. Abhi, “Enhancing the Connected Vehicle Security Using the SecureAuto Tool,” 2023 International Conference on Computational Intelligence for Information, Security and Communication Applications (CIISCA), Bengaluru, India, 2023, pp. 278-284.
doi: https://ieeexplore.ieee.org/document/10403625 - G. M. G. R, S. Abhi and R. Agarwal, “A Hybrid Resume Parser and Matcher using RegEx and NER,” 2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT), Faridabad, India, 2023, pp. 24-29.
doi: https://doi.org/10.1109/ICAICCIT60255.2023.10466097 - S. Shirol, A. Kulkarni and R. Agarwal, “Semantic Search for Sustainable Platforms Using Transformers,” 2023 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), Hyderabad, India, 2023, pp. 112-118.
doi: https://doi.org/10.1109/ICETCI58599.2023.10331079
Conference Presentations
- Ganesh Subramanian, Rashmi Agarwal, “Smart Nudge Platform for Reuse Repositories,” 7th International Joint Conference on Advances in Computational Intelligence (IJCACI2023), Bangladesh, October 14-15, 2023.
- Shewatha Arul, Mithun DJ, Shinu Abhi, “Study on Customer Segmentation using K-Means Clustering,” World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2023), Udaipur, India, March 18-19, 2023.
- Sishil Surendran, Rashmi Agarwal, “Smart Knowledge Management for IT Services,” World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2023), Udaipur, India, March 18-19, 2023.
- Chetan Niloor, Rashmi Agarwal, Pradeepta Mishra, “Using MNIST Dataset for De-Pois Attack and Defense,” 4th international conference on recent trends in communication and intelligent systems (ICRTCI 2023), April 28-29, 2023
- Thiyagarajan, Mithun DJ, Rashmi Agarwal, “Prediction of Fatal Accidents in the Petrochemical Industry with Machine Learing,” 4th international conference on recent trends in communication and intelligent systems (ICRTCI 2023), April 28-29, 2023
- Anand Mohan, J B Simha, Rashmi Agarwal, “Prediction of Fatal Accidents in the Petrochemical Industry with Machine Learning,” 4th international conference on recent trends in communication and intelligent systems (ICRTCI 2023), April 28-29, 2023
- Anurag Anand, J B Simha, Shinu Abhi, “Automated system for Forecasting and Capacity Management in BPO,” EAI ICISML 2023 – EAI 2nd International Conference on Intelligent Systems and Machine Learning, Odisha, India, July 27-28, 2023
- Sujal, Rashmi Agarwal, Shinu Abhi, Ratan Jyoti, “A Modest Approach Toward Cloud Security Hygiene,” International Conference on Recent Developments in Cyber Security (ReDCySec-2023).
- Ashish Kumar Singh, J B Simha, Rashmi Agarwal, “Prediction of Intermittent Demand Occurance using Machine Learning Tool,” EAI ICISML 2023 – EAI 2nd International Conference on Intelligent Systems and Machine Learning, Odisha, India, July 27-28, 2023
- Sudhir Walia ,Qazi Mustafa Kaleem, Shinu Abhi, “Mobile Security Operation Centre (mSOC) Tool,” EAI ICISML 2023 – EAI 2nd International Conference on Intelligent Systems and Machine Learning, Odisha, India, July 27-28, 2023
- Patnana Sayesu, “Enabling Softwware-defined Access control in cloul environment through network functions visualozation orchestraction,” The International Conference on Recent Advances in Science, Technology & Engineering (ICRASTE), 2023
- Ganesh Subramanian, Rashmi Agarwal, “Assessing Student Engagement Levels Using Speech Emotion Recognition,” 7th International Joint Conference on Advances in Computational Intelligence (IJCACI2023), Bangladesh, October 14-15, 2023.
- Praveena Valivel, J.B.Simha, Rashmi Agarwal, “Smart VoiceBot with Text Classifier,” 7th International Joint Conference on Advances in Computational Intelligence (IJCACI2023), Bangladesh, October 14-15, 2023.
- Sunil Kumar Singh ,Shinu Abhi, Rashmi Agarwal, “Lead Conversion and Scoring with Machine Learning,” 7th International Joint Conference on Advances in Computational Intelligence (IJCACI2023), Bangladesh, October 14-15, 2023.
- Sandeep R Diddi, Akshay Kulkarni, “Machine Learning For Sustainable Agriculture: Enhancing Resource Efficiency And Environmental Conservation,” 2023 IEEE International Carnahan Conference on Security Technology (ICCST), Pune, India, October 11-15, 2023.
- Maddipati Rakesh Kumar, Akshay Kulkarni, Rashmi Agarwal, “Decision making for Driver Systems using Computer Vision,” International Conference on Intelligent Computing and Networking (IC-ICN 2023), Maharashtra, India, February 24–25, 2023.
- A. Limbare and R. Agarwal, “Demand Forecasting and Budget Planning for Automotive Supply Chain”, EAI ICISML 2023 – EAI 2nd International Conference on Intelligent Systems and Machine Learning.
- G Paramesh,V Udaya Rani,Jay Bharateesh Simha, Shinu Abhi, “Real-Time Depth Detection: A Novel Approach Using Geometric Computation and Rule-Based Algorithms,” 10th International Conference on Business Analytics and Intelligence (2023-ICBAI), IISc, Bengaluru, December 18-20, 2023.
- Vignesh Krishnamurthy, Soujanya Kelaginamani, G Paramesh, Shinu Abhi, “Fuel Efficient Self-Driven Vehicle Using CNN with V2V Communication,” 10th International Conference on Business Analytics and Intelligence (2023-ICBAI), IISc, Bengaluru, December 18-20, 2023.
- Tahiyya Khan, K Gomini, S Naveen Kumar, G Paramesh, and Shinu Abhi, “An Innovative Hybrid Recommendation System Integrating Content-Based Filtering with TF-IDF and Cosine Similarity,” 10th International Conference on Business Analytics and Intelligence (2023-ICBAI), IISc, Bengaluru, December 18-20, 2023.
- Poornima A, J B Simha, Rashmi Agarwal, G Paramesh, and Shinu Abhi, “Automated Literature Review Using Large Language Models,” 4th International Conference On Computational Intelligence (ICCI 2023), Surat, India, November 04-05, 2023.
Patents Published
- Pawan Rama Mali, Dr. Shinu Abhi, Rashmi Agarwal, “Method and System for Implementing Automated Machine Learning Application,” published as IPA Number 202341027265 on May 05, 2023.
- Nidhi Agarwal, Pradeepta Mishra, Kumar Gaurav, Rashmi Agarwal, Shinu Abhi, “AI-Enabled Voice Biometric Customer Contact Center Authentication System,” published as IPA 202341059119 on October 2023.
- Sowmiya Dhandapani, Nishanth Kumar Pathi, Rashmi Agarwal, Shinu Abhi, “OAuth and OpenID Connect Security Framework for Guest Network,” published as IPA 202341067789 on November 2023.
- Paramesh G, Udaya Rani V, “Automatic Object Detection and Seating Safety During Bike Ride,” published as IPA 202341057758 on August 2023.
Journal Articles
- Madhukeshwar R K, Ratnakar Pandey, Shinu Abhi. “A Recommender System for Indian Credit Cards using Text Analytics,” Journal of Neuroscience and Quantum Physics, Vol.2, Issue. 8, pp. 9021-9028, July 2022.
doi: http://doi.org/10.14704/nq.2022.20.8.NQ44922 - Sathya Subbiah, Sridhar Govardhan, Shinu Abhi, (2022) “Security Enhanced Authentication Framework for Securing ADB Access in AOSP,” International Journal of Electrical, Electronics and Data Communication (IJEEDC), pp. 31-37, Volume-10, Issue-10, October 2022.
doi: https://iraj.doionline.org/dx/IJEEDC-IRAJ-DOIONLINE-19139 - Lisa Biswas, Rashmi Agarwal, Vinay By, (2022) “Data Sanitization and Privacy Preservation Method on Edge Nodes,” International Journal of Advance Computational Engineering and Networking (IJACEN), pp. 44-47, Volume-10, Issue-10, October 2022.
doi: https://iraj.doionline.org/dx/IJACEN-IRAJ-DOIONLINE-19125 - Rahul Kumar, Rashmi Agarwal, (2022) “Hybrid Cloud Security – Risk & Posture Assessment,” International Journal of Advance Computational Engineering and Networking (IJACEN), pp. 39-43, Volume-10, Issue-10, October 2022.
doi: https://iraj.doionline.org/dx/IJACEN-IRAJ-DOIONLINE-19124 - Amit Lambi, Sandeep Vijayaraghvan, “Cross-Domain Deterrence in the Cyber World,” International Journal for Research in Applied Science & Engineering Technology (IJRASET), Vol. 10, Issue IX, September 2022.
doi: https://doi.org/10.22214/ijraset.2022.46645 - Jamthe, Sudha, Viswanath, Yashaswini and Lokiah, Suresh (2022, March 1). “Inclusive Ethical AI in Human–Computer Interaction in Autonomous Vehicles,” Journal of AI, Robotics & Workplace Automation, Volume 1, Issue 3, March 2022.
doi: https://doi.org/10.69554/AMVA3377
Conference Proceedings
- A. Kashinath, R. Agarwal and M. D. J, “Prediction of Delays in Invoice Payments Using Machine Learning,” 2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG), Indore, India, 2023, pp. 1-6,
doi: https://www.doi.org/10.1109/ICTBIG59752.2023.10455972 - V. CP and R. Agarwal, “Automation of Server Security Assessment,” 2022 4th International Conference on Circuits, Control, Communication and Computing (I4C), Bangalore, India, 2022, pp. 515-518
doi: https://www.doi.org/10.1109/I4C57141.2022.10057759 - Rajanna, R. Agarwal and J. B. Simha, “A Monocular Camera Depth Estimate Approximation using Deep learning,” 2022 International Conference on Futuristic Technologies (INCOFT), Belgaum, India, 2022, pp. 1-4
doi: https://www.doi.org/10.1109/INCOFT55651.2022.10094483 - J. Singh, M. D. Jayaprakash and R. Agarwal, “Flight Delay Prediction for Indian Air Carriers with Explainable Artificial Intelligence,” 2022 Third International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE), Bengaluru, India, 2022, pp. 1-6
doi: https://www.doi.org/10.1109/ICSTCEE56972.2022.10099797 - S. Joseph, M. D. J and R. Agarwal, “Product Affinity Analysis to Increase Sales using Machine Learning,” 2022 Third International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE), Bengaluru, India, 2022, pp. 1-8.
doi: https://www.doi.org/10.1109/ICSTCEE56972.2022.10099568
Conference Presentations
- Madhukeshwar Kyasanurmath, Ratnakar Pandey and Shinu Abhi,”A Recommender System for Indian Credit Cards using Text Analytics,” International conference on Machine learning and data analysis (MacDat”22), 2022.
- Gaurav Karki, Jay Bharateesh Simha, Rashmi Agarwal,”AI-Enabled Automation Solution for Utilization Management in Healthcare Insurance,” EAI ICISML 2022 – EAI International Conference on Intelligent Systems and Machine Learning, Hyderabad, India, December 16-17, 2022.
- Shravani Ponde, Akshay Kulkarni and Rashmi Agarwal,”AI/ML Based Sensitive Data Discovery and Classification of Unstructured Data,” EAI ICISML 2022 – EAI International Conference on Intelligent Systems and Machine Learning, Hyderabad, India, December 16-17, 2022.
- Yashaswini Viswanath, Rashmi Agarwal, Rajanna K,”Explainable Recommender Systems,” 9th International Conference on Business Analytics and Intelligence (IIMB – BAICONF2022),” Bengaluru, India, December 15-17, 2022.
- Shashidhara G M, Rashmi Agarwal and Jitendra Suryavamshi,”Identify Melanoma Using CNN,” EAI ICISML 2022 – EAI International Conference on Intelligent Systems and Machine Learning,” Hyderabad, India, December 16-17, 2022.
- Rajanna K, Yashaswini Viswanath, Ravi Shukla,”Smart Parking Solution for Multi Building Campus ,” 9th International Conference on Business Analytics and Intelligence (IIMB – BAICONF2022),” Bengaluru, India, December 15-17, 2022.
- Ashish Chandra Jha, Sanjeev Kumar Jha, JB Simha,”Development of Analytical Data Martand Data Pipeline for Recruitment Analytics,” EAI ICISML 2022 – EAI International Conference on Intelligent Systems and Machine Learning, Hyderabad, India, December 16-17, 2022.
- Mahapara Gayasuddin, Krishna Kumar Tiwari, Mithun,”Prediction of Customer LifetimeValue in E-Commerce Business for Growth,” 9th International Conference on Business Analytics and Intelligence (IIMB – BAICONF2022),” Bengaluru, India, December 15-17, 2022.
- Saumyadip Sarkar, Rashmi Agarwal,”Pattern Discovery and Forecasting of Attrition using Time series Analysis,” EAI ICISML 2022 – EAI International Conference on Intelligent Systems and Machine Learning,” Hyderabad, India, December 16-17, 2022.
- Lalit Aggarwal, Sanjeev Jha, J.B. Simha,”Investigating Super learner for credit Risk modeling in Mortgage Scenario,” 9th International Conference on Business Analytics and Intelligence (IIMB – BAICONF2022), Bengaluru, India, December 15-17, 2022.
- Saumyadip Sarkar, Rashmi Agarwal,”Resume Shortlisting and Ranking with Transformers,” EAI ICISML 2022 – EAI International Conference on Intelligent Systems and Machine Learning, Hyderabad, India, December 16-17, 2022.
- Sanjeev Kumar Jha, Ashish Chandra Jha, J.B. Simha,”Automated Literature Review with Transformers,” 9th International Conference on Business Analytics and Intelligence (IIMB – BAICONF2022), Bengaluru, India, December 15-17, 2022.
- Abhijeet Borade, Rashmi Agarwal, “Securing Outsourced Personal Health Records On Cloud Using Encryption Techniques,” EAI ICISML 2022 – EAI International Conference on Intelligent Systems and Machine Learning, Hyderabad, India, December 16-17, 2022.
- Anand Kumar N, Mithun DJ, Rashmi Agarwal, “Predicting Customer Lifetime Value using ML: A Comparative Analysis,” 9th International Conference on Business Analytics and Intelligence (IIMB – BAICONF2022), Bengaluru, India, December 15-17, 2022.
- Sudeep Mathew, Mithun Dolthody Jayaprakash and Rashmi Agarwal, “An Interactive Web Solution for Electronic Health Rec-ords Segmentation and Prediction,” EAI ICISML 2022 – EAI International Conference on Intelligent Systems and Machine Learning, Hyderabad, India, December 16-17, 2022.
- Pradeep Thota, Rashmi Agarwal, Akula Phaneendra, “CRM-based Lead Scoring with Machine Learning,” 9th International Conference on Business Analytics and Intelligence (IIMB – BAICONF2022), Bengaluru, India, December 15-17, 2022.
- Tushar Nigam and Rashmi Agarwal, “Predicting the Likeliest Customers; Minimizing Losseson Product Trials using Business Analytics,” EAI ICISML 2022 – EAI International Conference on Intelligent Systems and Machine Learning, Hyderabad, India, December 16-17, 2022.
- Tharuka Gallekankanamge, J.B. Simha, Rashmi Agarwal, “Sales Analytics todrive Profitability-A case study of a Fashion E-Commerce Retailer,” 9th International Conference on Business Analytics and Intelligence (IIMB – BAICONF2022), Bengaluru, India, December 15-17, 2022.
- Siddhartha Sourav Panda, Mr. Nishanth Pathi, Shinu Abhi, “Securing a SaaS Application on AWS Cloud,” Third International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV-2022), Bengaluru, India, November 24-25, 2022.
- Surendra Tanniru,Ratnakar Pandey, Shinu Abhi, “Credit Card Segmentation and Recommendation System,” 9th International Conference on Business Analytics and Intelligence (IIMB – BAICONF2022), Bengaluru, India, December 15-17, 2022.
- Sathya Subbiah, Sridhar Govardhan, Shinu Abhi, “Security Enhanced Authentication Framework for Securing ADB Access in AOSP,” International Conference on Big Data, IoT, Cyber Security and Information Technology (ICBDICSIT – 2022), Hyderabad, India, March, 2022.
- Rahul Kumar, Rashmi Agarwal, “Hybrid CloudSecurity-Risk & Posture Assessment,” International Conference on Big Data, IoT, Cyber Security and Information Technology (ICBDICSIT – 2022), Hyderabad, India, March, 2022.
- Lisa Biswas, Rashmi Agarwal,Vinay BY, “Data Sanitization and Privacy Preservation Method on EdgeNodes,” International Conference on Big Data, IoT, Cyber Security and Information Technology (ICBDICSIT – 2022), Hyderabad, India, March, 2022.
- Vijayaraj Sundaram, Shinu Abhi, Rashmi Agarwal, “Building a Multi-class Prediction App for Malicious URLs”, Advanced Network Technologies and Intelligent Computing. ANTIC 2022.
Journal Articles
- Rubia Fathima, “Preserving and Randomizing Data Responses in Web Application Using Differential Privacy,” International Journal of Innovative Science and Research Technology, Volume 6, Issue 8, pp. 139-147 August – 2021.
doi: https://www.ijisrt.com/preserving-and-randomizing-data-responses-in-web-application-using-differential-privacy - Parth H Pandya, “M-IoT Device Security for Healthcare Ensure Patient Health Risk Wouldn’t Compromise,” Internal Journal of Engineering Research and Technology (IJERT), Vol. 10, Issue. 8, pp. 132-135, August 2021.
doi: https://www.ijert.org/m-iot-device-security-for-health-care-ensure-patient-health-risk-wouldnt-compromise - Wasef Anwar, “Privilege Access Analysis Security Tool for Windows and Linux,” International Journal of Scientific & Engineering Research (IJSER), Vol. 12, Issue. 08, pp. 904-911, August 2021.
doi: https://www.ijser.org/onlineResearchPaperViewer.aspx?Privilege-Access-Analysis-Security-Tool-for-Windows-Linux.pdf - Sagar G, “Threat-Vector Segregation for Endpoint Security,” International Journal of Scientific & Engineering Research (IJSER), Vol. 12, Issue. 07, pp. 1352-1355, August 2021.
doi: https://www.ijser.org/onlineResearchPaperViewer.aspx?Threat-Vector-Segregation-for-Endpoint-Security.pdf - Arun Narayanan N, Dhruv Kalaan, “Detecting DDoS Attack with AI/ML Models,” International Journal of Advance Research, Ideas and Innovations in Technology, Vol. 7, Issue. 4, pp. 1511-1516, August 2021.
doi: https://www.ijariit.com/manuscript/detecting-ddos-attack-with-ai-ml-models/ - S. Vijay Shandilya, Akshay Kulkarni, “Rejection Analysis of Cast Wheel by CRISP-DM and Machine Learning,” International Journal of Engineering Science and Computing, Vol. 11, Issue. 8, pp. 28744-28748, August 2021.
doi: https://www.academia.edu/116057841/Rejection_Analysis_of_Cast_wheel_by_CRISP_DM_and_Machine_Learning - Ramamani Venkatakrishna, Pradeepta Mishra, Sneha P. Tiwari, “Customer Lifetime Value Prediction and Segmentation using Machine Learning,” International Journal of Research in Engineering and Science (IJRES), Vol. 9, Issue. 8, pp. 36-48, August 2021.
doi: https://www.ijres.org/papers/Volume-9/Issue-8/Series-8/G09083648.pdf - Ramamani Venkatakrishna, Ravi Shukla, Sneha P. Tiwari, “Social Media Based Recommender System for E-Commerce Platforms,” International Journal of Research in Engineering and Science (IJRES), Vol. 9, Issue. 8, pp. 87-98, August 2021.
doi: https://www.ijres.org/papers/Volume-9/Issue-8/Series-7/O09088798.pdf - Naz, T., Shukla, R., & Tiwari, K, “Affordable ML Based Collaborative Approach for Baby Monitoring,” Asian Journal of Research in Computer Science, Vol.12, Issue. 3, pp. 44–52, November 2021.
doi: http://doi.org/10.9734/ajrcos/2021/v12i330288 - Suresha, H. P., and Krishna Kumar Tiwari, “Topic Modeling and Sentiment Analysis of Electric Vehicles of Twitter Data,” Asian Journal of Research in Computer Science, Vol.12, Issue. 2, pp. 13-29, October 2021.
doi: http://doi.org/10.9734/ajrcos/2021/v12i230278 - Suresha, H. P., Mutturaj Uppaladinni, and Krishna Kumar Tiwari, “Indian Commodity Market Price Comparative Study of Forecasting Methods – A Case Study on Onion, Potato and Tomato,” Asian Journal of Research in Computer Science, Vol.12, Issue. 4, pp. 147-159, October 2021.
doi: http://doi.org/10.9734/ajrcos/2021/v12i230278
Conference Proceedings
- G. Hegde, V. R. Hulipalled and J. B. Simha, “Price Prediction of Agriculture Commodities Using Machine Learning and NLP,” 2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE), Bengaluru, India, 2021, pp. 1-6.
doi: http://doi.org/10.1109/ICSTCEE54422.2021.9708582
Journal Articles
- Nagaraja Seshadri, Sivakumar Dhakshinamoorthy, “Internet of things (IoT) and Security,” Internal Journal of Engineering Research and Technology (IJERT), vol. 8, Issue. 15, pp. 197-203, September 2020.
doi: https://www.ijert.org/research/internet-of-things-iot-and-security-IJERTCONV8IS15043.pdf - Nagaraja Seshadri, Rubia Fathima, “Ransomware Threats,” Internal Journal of Engineering Research and Technology (IJERT), vol. 8, Issue. 15, pp. 64-68, September 2020.
doi: https://www.ijert.org/research/ransomware-threats-IJERTCONV8IS15015.pdf - Satish K Sreenivasaiah, Soumya Maity, “Threat Modeling of Cloud based Implementation of Homomorphic Encryption,” International Journal on Cryptography and Information Security (IJCIS), Vol. 10, No.3, September 2020.
doi: https://wireilla.com/papers/ijcis/V10N3/10320ijcis02.pdf - Shyamsundar PG, Ravi DN, Dhruv Kalaan, “RECONYMOUS – An Open Source User Activity Monitoring/Timeline Solution,” International Journal for Research in Applied Science & Engineering Technology (IJRASET), Vol. 8, Issue IX, September 2020.
doi: https://doi.org/10.22214/ijraset.2020.31527
Conference Proceedings
- G. Hegde, V. R. Hulipalled and J. B. Simha, “A Study On Agriculture Commodities Price Prediction and Forecasting,” 2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE), Bengaluru, India, 2020, pp. 316-321.
doi: http://doi.org/10.1109/ICSTCEE49637.2020.9277401 - C. B. C, V. R. Hulipalled and J. B. Simha, “Kannada Grammar Checker Using LSTM Neural Network,” 2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE), Bengaluru, India, 2020, pp. 332-337.
doi: http://doi.org/10.1109/ICSTCEE49637.2020.9277479 - R. Chundi, V. R. Hulipalled and J. B. Simha, “SAEKCS: Sentiment Analysis for English – Kannada Code SwitchText Using Deep Learning Techniques,” 2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE), Bengaluru, India, 2020, pp. 327-331.
doi: http://doi.org/10.1109/ICSTCEE49637.2020.9277030 - Nagaraja Seshadri, Rubia Fathima, “Ransomware Threats,” Internal Journal of Engineering Research and Technology (IJERT), vol. 8, Issue. 15, pp. 64-68, September 2020.
doi: http://doi.org/10.17577/IJERTCONV8IS15015
Conference Presentations
- Anshuman Dash, Satyajit Pal, Girish Yellapa and Chinmay Hegde, “Ransomware Auto-Detection In IoT Devices Using Machine Learning,” in 6th International Conference on Business Analytics and Intelligence (ICBAI), IISc Bengaluru; India, December 2018.
Conference Presentations
- J. B Simha, Shinu Abhi, “Modeling Employee Life Time Value (ELTV),” in 7th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 5-7, 2019.
- Mahapara G, Taiba N, Ramamani V, “A Lexicon based Unsupervised Model to Evaluate Product Ratings Vs Reviews,” in 7th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 5-7, 2019.
- Ramesh Chundi, Vishwanath R. Hulipalled, J. B Simha, “Identifying Kannada and English Code Switch Text,” in 7th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 5-7, 2019.
- Gautham R, Suresha HP, Mutturaj Uppaladinni, Suresha K, “Virtual Market Survey on Automobile Infotainment Gadgets,” in 7th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 5-7, 2019.
- Kiran Muloor, Shashidhara GM, Somesh Sahu, and Sandeep Shyam Bajaj, “Botnet Detection in Network Traffic Based on GBM,” in 7th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 5-7, 2019.
- Ashish Chandra Jha, Lalit Agarwal, Sanjeev Kumar Jha, “RestoQ – Aspect Based Sentiment Analysis,” in 7th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 5-7, 2019.
- Phaneendra Akula, Brahmanandam, “Optimizing the Manpower Planning with better utilization in E-commerce,” in 7th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 5-7, 2019.
- Anshuman Dash, Satyajit Pal, “Auto-Detection of Click-Frauds Using Machine Learning,” in 7th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 5-7, 2019.
- Shewatha A, Sudeep Mathew, Anand Limbare, Saumyadeep S, Sneha Tiwari, “Voice of Customer in Auto Industry,” in 7th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 5-7, 2019.
Conference Proceedings
- Dash, Anshuman & Pal, Satyajit & Hegde, Chinmay, “Ransomware Auto-Detection In IoT Devices Using Machine Learning,” International Conference on Brain-Inspired Computing (ICBAI), December 2018.
doi: https://www.researchgate.net/publication/329936193_Ransomware_Auto-Detection_In_IoT_Devices_Using_Machine_Learning
Conference Presentations
- Sachin Kakkookal,Neelima Anasuri, Nidhil C. H, “Crime Analysis across Major Cities of India with Twitter,” in 6th International Conference on Business Analytics and Intelligence (ICBAI), IISc Bengaluru; India, December 2018.
- Dinesh Ghanta, Pavanraj Talawar, “Load Curve Analysis and Short-Term Load Forecasting – A Big Data Analytics Approach,” in 6th International Conference on Business Analytics and Intelligence (ICBAI), IISc Bengaluru; India, December 2018.
- Shravani Ponde, Ratnakar Pandey, “Clustering Model for stocks based on CANSLIM approach,” in 6th International Conference on Business Analytics and Intelligence (ICBAI), IISc Bengaluru; India, December 2018.
- Andrea Brian Churchill, Parimala Mudimela, “Convolutional Neural Network Model for Detection of Diabetic Retinopathy,” in 6th International Conference on Business Analytics and Intelligence (ICBAI), IISc Bengaluru; India, December 2018.
- Phaneendra Akula, Abhilash Bodanapu, “Application of Machine Learning for Prediction of Employees at Risk of Leaving Organization,” in 6th International Conference on Business Analytics and Intelligence (ICBAI), IISc Bengaluru; India, December 2018.
- Ashok Shetty, Lakshmi D, “Building Predictive Models for email campaigns,” in 6th International Conference on Business Analytics and Intelligence (ICBAI), IISc Bengaluru; India, December 2018.
- Nagendra B.V, Krishna Goswamy, “Implementation of forecasting and classification models to predict Crimes in Chicago,” in 6th International Conference on Business Analytics and Intelligence (ICBAI), IISc Bengaluru; India, December 2018.
- Jay B. Simha, Shinu Abhi, “Intelligent Profiling for Human Capital Utilization,” in 6th International Conference on Business Analytics and Intelligence (ICBAI), IISc Bengaluru; India, December 2018.
Journal Articles
- Shinu Abhi, “Trolley Solutions-Is the Timing Right? A Case Study,” AIMS Journal of Management, July 2017.
doi: https://www.researchgate.net/publication/324056536_iTrolley_Solutions-Is_the_Timing_Right_A_Case_Study - Shinu Abhi, Vasanti Venugopal, “Daily bread – a gourmet pursuit,” The case journal, Vol. 13, Issue 2, pages 271 – 293, March 2017.
doi:https://www.emerald.com/insight/content/doi/10.1108/tcj-08-2015-0043/full/html - Shinu Abhi, “Can Social Entrepreneurs Do Well by Doing Good? Blending Social and Economic Value Creation – An Investigation,” Academy of Entrepreneurship Journal, Vol: 23 Issue: 2, 2017.
doi:https://www.abacademies.org/articles/can-social-entrepreneurs-do-well-by-doing-good–blending-social-and-economic-value-creation–an-investigation-6671.html
Conference Presentations
- Dinesh Ghanta, Kavitha Mailengi, Ratnakar Pandey, “Deep Learning and Fraud Detection in Credit Card Transactions,” in 5th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 11-13, 2017.
- Bonnie Bernard, “Classification Modelling Using Decision Tree,” in 5th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 11-13, 2017.
- Pavanraj Talawar, Lakshmi D, “Propensity to Default Model for Online Credit Marketplace,” in 5th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 11-13, 2017.
- Andrea Brian Churchill, Mutturaj Baradol, Brian Mark Churchill, Shinu Abhi, “Deep Learning Based Deceased-Donor Kidney Allocation Model for India,” in 5th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 11-13, 2017.
- Jay B. Simha, Shinu Abhi, “Response Modelling with K-NN AND XNB,” in 5th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 11-13, 2017.
- Kanchan Wali, Mutturaj Baradol, “Response Modelling using Support Vector Machines & Naïve Bayes,” in 5th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 11-13, 2017.
- Sachin Kakkookal, Nidhil C. H, “Sentiment Analysis on Demonetization by Government of India,” in 5th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 11-13, 2017.
- Nisanth T. S, Sonali Sucharita, “Crime Analysis across Major Cities of India with Twitter,” in 5th International Conference on Business Analytics and Intelligence, IIM Bengaluru; India, December 11-13, 2017.