Ebin, P. M., Thomas, R., & Ismail, S. (2023, December). A Novel Approach to Identify Pituitary Tumor Using an Optimal CNN Model with Deep Learning. In 2023 International Conference on Computational Intelligence, Networks and Security (ICCINS) (pp. 1-6). IEEE.
Ismail, S., & Vasudev, H. (2024, September). EIROB: An Emotionally Intelligent ROBot for Empathetic Support. In 2024 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES) (pp. 1-6). IEEE.
Jacob, S., Jacob, P. M., Cheriyan, J., & Ismail, S. (2024, September). Legal Assistance Redefined: Transforming Legal Access with AI-Powered LegalLink. In 2024 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES) (pp. 1-6). IEEE.
Ismail, S., Pattani, R. V., & Vasudev, H. (2024). AI-Hear: A novel method for simplifying sign language detection. In Proceedings of ADRIS 2024 (pp. 221–227). Bentham Science Publishers. Alliance University, Bangalore.
Ismail, S., & Vasudev, H. (2025). An improved AI-based system for criminal identification and public safety. In Proceedings of ICCINS 2025, Communications in Computer and Information Science (CCIS). Springer. NIT Raipur.
Ismail, S., Pattani, R. V., & Chacko, S. C. (2025). SMP-TFT: A transformer-based AI framework for stock market prediction. In Proceedings of the 6th IEEE INDISCON 2025, NIT Rourkela. IEEE.
1.Ismail, S., Vasudev, H., & Cheriyan, J. (2025). Enhancing Seed Quality and Predictive Accuracy in Indian Agriculture: Case Study at RARS, Kottayam, Kerala. In Advances in Seed Quality Evaluation and Improvement (pp. 491-528). Singapore: Springer Nature Singapore.
2. Ismail, S., & Vasudev, H. (2025). Artificial Intelligence for Personalized Electric Vehicle Energy Management. In Emerging Multisector Applications of AI and IoT (pp. 221-260). IGI Global Scientific Publishing.
3. Ismail, S., & Vasudev, H. (2025). SP redict: Stock market prediction with social media sentiment analysis and machine learning. In N. T. T. Hien, P. H. Hai, & H. V. Nam (Eds.), Data science for financial accounting (Big Data Series). Springer.
4.Ismail, S., & Vasudev, H. (2025). TechHealthCPS: Transforming healthcare through cyber-physical systems – Opportunities and ethical challenges. In S. Vardhaman (Ed.), Intelligent cyber-physical systems for sustainable healthcare. Elsevier.
5.Ismail, S., & Vasudev, H. (2025). NIC-Health: Nature-inspired computing for secure and intelligent healthcare systems. In S. Saha & L. Ghosh (Eds.), Advances in healthcare using machine learning (1st ed.). CRC Press (Taylor & Francis).
6.Ismail, S., Pattani, R. V., & Vasudev, H. (2025). BioML-Comp: Machine learning for biodegradable composites in sustainable manufacturing and circular economy. In M. P., K. N. Bharath, P. Shivanna, M. R. Sanjay, & S. Siengchin (Eds.), Machine learning for biodegradable composites in sustainable manufacturing and circular economy. Elsevier.
7.Ismail, S., & Vasudev, H. (2025). Legal and ethical challenges of AI in Industry 4.0. In S. Juneja (Ed.), Generative AI in Industry 4.0: Issues, challenges and solutions. Nova Science Publishers.
1.Ismail, S. (2019). Virtual lab. International Journal of Science and Research (IJSR), 8(1), 1899–1901. https://dx.doi.org/10.21275/ART20194762 .
2.Ismail, S. (2019). MNREGS: A technology-based approach for managing rural employment schemes. International Journal of Science and Research (IJSR), 8(1), 1902–1904. https://www.ijsr.net/archieve/v8i1/ART20194762.pdf
3.Ismail, S. (2019). Convertidor: An intelligent converter for engineering applications. Journal of Advance Engineering and Research Development, 6(3), 87–90. https://doi.org/10.21090/IJAERD.60799 .
4.Ismail, S. (2020). A novel approach for enhanced teaching-learning process. In Proceedings of the International Conference on Recent Trends in Computer Science and Information Technology (ICRCSIT–2020).