Items where Subject is "Artificial Intelligence"
- VELS Subject Areas (26)
- Computer Science Engineering (26)
- Artificial Intelligence (26)
- Computer Science Engineering (26)
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Abinaya Ramsu, RS and Ulagapriya, K. AI-BASED DRUG DISCOVERY AND ACTIVITY PREDICTION. Ryan Publishers. ISBN 978-81-69050-45-6
Azhagusundari, B. and Ramamoorthi, R Padmavathi and Nithya, A. and Subha, V. and Aruna., O R and W., JaiSingh (2026) Edge Optimized CNN For Real Time Aerial Image Analysis. In: Edge Optimized CNN For Real Time Aerial Image Analysis, 24-26 February 2026, Tirunelveli, India.
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Dr., Muthukumar Subramanian and Dr., Malathi Murugesan and Gayathri Devi, S. and DEVI, S.GAYATHRI (2025) Artificial Intelligence to Quantum Intelligence: A Technology Transition. Taran Publication, India, pp. 1-215. ISBN 978-8199347748
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K.S, Archana and J, Sobana and Abishek.B, Ebenezer and M, Kathiravan and S, Gopalakrishnan. (2019) Automatic Brain Tissue Segmentation using Modified K-Means Algorithm Based on Image Processing Techniques. International Journal of Innovative Technology and Exploring Engineering, 8 (12). pp. 664-666. ISSN 22783075
Kalaivani, K. and Arun, S. and Ulagapriya, K. and Saritha, A. and Shanthini, B. and Hemamalini, R. Rani (2026) Application of Intelligent Computational Techniques in the Development of Smart Cities: An Approach Toward Sustainability. In: Predictive Methods in Next‐Generation Computing. Wiley, pp. 175-191. ISBN 9781394248827
Kathirvelu, Kalaivani and Taj, S., Ghouhar (2025) Enhancing Heart Disease Prediction through Cross-Domain Transfer Learning from Related Health Conditions. In: 2025 2nd International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2025, 11 July 2025 - 12 July 2025, Bangalore.
Kavitha, N. (2026) Automated Urine Color Analysis using MTCNN for Rapid and Non-Invasive UTI Detection. In: 2025 5th International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN), 24-26 November 2025, Coimbatore, India.
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Lakshmi, T.K. and Mangalapu, Naresh Kumar and Swaminathan, Mary Fathima Anuja Joseph and Chandravadhana, S. and Pari, R. and Ranjana, T. (2025) AI for Disaster Response: Developing Intelligent Systems for Real-Time Emergency Management. In: 2025 International Conference on Next Generation Communication & Information Processing (INCIP), Bangalore, India.
202641048135 (2026) A SYSTEM AND A METHOD FOR INTERPRETABLE LEUKEMIC DIAGNOSTICS FROM MICROSCOPY IMAGES. : IN202641048135 A1.
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Nagaraj, G and Vandana, Ahuja and P, Satish and Gayathri Devi, S. and Puvvada, Nagesh and Ayesha, Siddiqa (2026) ML-Enhanced Self-Healing Fiber-Reinforced Polymer Composites with Embedded IoT Sensors for Damage Prediction. ML-Enhanced Self-Healing Fiber-Reinforced Polymer Composites with Embedded IoT Sensors for Damage Prediction, 14. ISSN 2321-2810
Nithya Santhosh B, . and Sudharson S, . and Ulagapriya, K. DOOMSDAY: AN AI-BASED FAKE WEBSITE DETECTION AND PAYMENT FRAUD PREVENTION SYSTEM. Ryan Publishers. ISBN 978-81-69050-45-6
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Padma, E. and Gnanam, S. and Chandrasekaran, M. and Vinod Kumar, T. and Baskar, S. and Prakash, P. (2026) Interdisciplinary Engineering and Technology Management. In: Interdisciplinary Engineering and Technology Management. SRR BOOKS . SRR PUBLICIZING RESEARCH, CHENNAI, pp. 1-176. ISBN 9788199920682
Padma, E. and MAGHIMA LAKSHMI, A and REENA JENIFER, R (2026) AI-Enabled B2B Construction Project Management System. In: 7th International conference on computational Intelligence and Industry 5.0, 19.04.2026, Chennai.
Poornima, V. and R, SURESHBABU (2026) An AI-Driven Context-Aware Dynamic Diet Recommendation System using Rule-Based Reasoning. International Journal of Science, Strategic Management and Technology, 02 (04). pp. 1-9. ISSN 31081762
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SHarish Reddy, Gantla and Jitender, Jain and Arunasakthi, K and Subarno, Bhattacharyya and Muthukumar, Subramanian and GAYATHRI DEVI, S and DEVI, S.GAYATHRI and DEVI, S.GAYATHRI (2026) Emerging Hybrid Models for Neuromorphic AI and Quantum Computing. In: Emerging Hybrid Models for Neuromorphic AI and Quantum Computing. IGI Global Scientific Publishing, pp. 1-32. ISBN 9798337377797
SUKUNAVASI, HEMA SRI and NAGAMANI, CH and RAGAPANI, SOWMYA and Manikandan, A (2024) AI and Machine learning revolutionizing the futures. Well tech international publishing house, HYDRABED. ISBN 9789349090903
Senthil, G.A. and Prabha, R and Sridevi, S. and Rohini, A. (2025) Artificial Intelligence: Advanced Mathematical Constructs and Theoretical Framework in Machine Learning and Deep Learning Algorithms. In: International Conference on Optimization Techniques in the Field of Engineering, 15 November 2024.
Suganiya, M and Pradeep Kumar, S and Kalaiarasi, G and Saritha, B and Rubini, B (2025) Comparison of Machine Learning Models for Injury Prediction in Athletes. In: International Conference on Visual Analytics and Data Visualization (ICVADV), 04-06 March 2025, Tirunelveli, India.
Sujatha, P. (2025) Spearman chimp optimisation algorithm feature selection and fuzzy weight long-short-term memory classifier for cyberbullying Twitter data. International Journal of Intelligent Engineering Informatics, 13 (4). pp. 395-431. ISSN 1758-8715
Sujatha, P. (2025) Unmasking Mnemonics – Leveraging Content Moderation Model for Decoding Encoded Communication in Digital Conversations. Journal of Machine and Computing. pp. 2292-2304. ISSN 2789-1801
shanthi, P and yamini, B (2026) REAL-TIME WEAPON DETECTION AND BAHAVIORAL THREAT RECOGNITION USING AN INTEGRATED DEEP LEARNING APPROACH. In: AICTE Sponsored International Conference on “Shaping the Future of Healthcare: Integrating AI, IOT, and Data Science Innovations”, 29-01.2026 TO 30.01.2026, CHENNAI. (In Press)
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Thangavel, Sivashanmugam and Sujatha, S and Jagadeesh Kannan, R. and Bhanumathi, M and Sasikala, K. and Akash, P (2026) Stress Classification using Vanilla Transformer Encoder on Multi-Channel Physiological Sensor Time Series. In: 7th International Conference on Innovative Data Communication Technologies and Application (ICIDCA-2025).
482758-001 (2026) “Quantum Based Climate Data Monitoring and Forecasting Device”. 226883.
Thilakavathy.P, Thilakavathy.P and Abina., R and Ananya, S and Arun, S (2026) Deep Learning-Based Drug–Protein Binding Affinity Prediction Using Sequence Information. In: 2025 5th International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), 12-13 September 2025, MANDYA, India.
Thirumal, S. and J, Thangakumar (2021) Investigation of Statistical Feature Selection Techniques for Autism Classification Using EEG Signals. Journal of Advanced Research in Dynamical and Control Systems, 12 (05-SPE). pp. 1254-1263. ISSN 1943023X
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Viswanathan, R and Abinash, S and Kavitha, S.J (2026) IOT-BASED SOIL MOISTURE PREDICTION FOR SMART FARMING. In: INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SCIENCE, ENGINEERING AND MANAGEMENT, 26/04/2026, Chennai, India.
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