Items where Division is "Computer Science Engineering" and Year is 2026
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A, Prasanna and P, Sheela Gowr and M, Pradeep Kumar and S, Stephaniyo (2026) Design and Development of a Low-Cost Offline Educational Laptop Using E-Ink Technology. In: 2026 13th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India.
ABINAYA, G and ABARNA, N and Deepa, R. (2026) A MULTIMODAL DEEPFAKE DETECTION USING DEEP LEARNING. In: A MULTIMODAL DEEPFAKE DETECTION USING DEEP LEARNING, 25.10.2025, CHENNAI.
ALDRIN SILVERA, S and GIRISH MITHRAN, G and Balakrishna, R. (2026) AI-BASED EMOTION RECOGNITION FROM VOICE WITH RELIEF & RECOMMENDATION SYSTEN. In: 7th International conference on computational Intelligence and Industry 5.0.
ANISHA, R and Thirunavukkarasu, K S (2026) AI-Powered Road Accident Detection Using Learning. AI-Powered Road Accident Detection Using Learning, 02 (09). 01-06. ISSN 3108-1762
Abhilash Yasiid, N and Thirunavukkarasu, K S (2026) PLANT DISEASE DETECTION USING CONVOLUTIONAL NEURAL NETWORK. PLANT DISEASE DETECTION USING CONVOLUTIONAL NEURAL NETWORK, 4 (4). pp. 1-6. ISSN 2456-3987
Abinaya Ramsu, RS and Ulagapriya, K (2026) AI-BASED DRUG DISCOVERY AND ACTIVITY PREDICTION. In: PROCEEDINGS OF 8ᵗʰ INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SCIENCE, ENGINEERING AND MANAGEMENT, April 24 2026, Chennai.
Amuthavalli, A and Nandhini, K (2026) Analysis of Malnutrition Prediction in Children using ML Techniques. In: ICSCSS, 20-22 August 2025, Coimbatore, India.
Anagha, Achuthan and Saritha, A (2026) Securing Sensitive Health Data: A Survey of Privacy-Preserving Approaches in Data Science. International conference of Electronics, Communication and Aerospace Technology (ICECA).
Anamika, Kumari and Sridevi, S. and Kavitha, S.J and Mohammadul Hassan, A (2026) Automated Identification of Crop Disease Using Deep Neural Network with Proximal Policy Optimization Technique. In: International Conference on Innovations in Engineering and Next-Generation Technologies for Sustainability (ICINVENTS), 08/11/2026, Coimbatore, India.
Anandan, R (2026) Dynamic Pricing for Revenue Management in Health and Hospitality Industry with Federated Learning. In: Federated Learning for Healthcare Applications with Case Studies. Taylors and Francis, New York. ISBN 9781032978109
Anandan, R (2026) Evolution of Quantum Computing. In: Quantum Computing The Past, the Present, and the Future. Taylors and Francis, USA.
Anandan, R and Archana, K. S and Fatima, T and Dhoot, T (2026) Optimized Migraine Detection in Healthcare: Exploring Random Forest and XGBoost with Prospects for Federated Learning. In: Federated Learning for Healthcare Applications with Case Studies. Taylors and Francis, New York. ISBN 9781032978109
Anandan, R and Priyadharsan, K (2026) Intuitive cloud computing framework for Tamil Nadu egovernance infrastructure system. Intuitive cloud computing framework for Tamil Nadu egovernance infrastructure system, 14 (2). pp. 358-367. ISSN 2321-9939
Anandan, R and Shaisundaram, V S and Abirami, A and Saravanakumar, Sengottaiyan (2026) A Hybrid Deep Learning Approach With Multimodal Neurocognitive Features and Quantum Optimization for Early Detection of Alzheimer’s Disease and Related Dementias. A Hybrid Deep Learning Approach With Multimodal Neurocognitive Features and Quantum Optimization for Early Detection of Alzheimer’s Disease and Related Dementias, 8 (6). pp. 1-25. ISSN 2577-8196
Anandan, R and Shruti, Raj and Archana, K. S and Tiwari, R. D and Dhoot, T (2026) Unlocking the Knowledge of Patient Similarities in Chronic Kidney Disease CKD Using Machine Learning with Prospects of Federal Learning. In: Federated Learning for Healthcare Applications with Case Studies. Taylors and Francis, New York. ISBN 9781032978109
Anandan, R and Souvik, Pal and Balaganesh, D and Farshad, Badie (2026) Federated Learning for Healthcare Applications with Case Studies. Taylors and Francis, United States of America. ISBN 9781032978109
Anitha, R and Bagavathi Lakshmi, R (2026) MACHINE LEARNING MODELS FOR THE PREDICTION OF HIGH-RISK SENSITIVE RECORDS: COMPARATIVE STUDY & PERFORMANCE ANALYSIS. In: INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTER SCIENCE 27TH & 28TH FEBRUARY 2026.
Anitha Kumari, D and Kanimozhi, N and Sheryl, Oliver and Thirumal, S (2026) Enhancing Human–Computer Interaction with Bioacoustics: Techniques and Applications. In: Computational Bioacoustic Artificial Intelligence. Sustainable Artificial Intelligence-Powered Applications. 1 ed. Springer, Cham. ISBN 978-3-032-06087-7
Anjitha, K and Saritha, A (2026) Graph Attention-driven Transformer Model for Intelligent IoT Anomaly Classification. International Journal of Intelligent Engineering and Systems, 19 (8): 1. pp. 442-466. ISSN 21853118
Arularasan, A.N and Kalpana, R and Tatiraju.V. Rajani Kanth, - and Mohanaprakash, T.A (2026) CLOUD AND DISTRIBUTED COMPUTING. In: CLOUD AND DISTRIBUTED COMPUTING. first -2026 ed. -, 1 (-). Alpha international publishcation, Chennai, pp. 1-273. ISBN 978-93-7361-547-9
Arya, A R and Rajesh, A (2026) Diabetes Mellitus Prediction: Systematic Review of Prediction Models. In: 2025 4th International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India.
Ashok, D and RATHNESHWARAN, T and Jegathambal, P. M. G. (2026) LIGHTWEIGHT PLANT DISEASE DETECTION FRAMEWORK USING MOBILENETV2 AND TRANSFER LEARNING. International Journal of Creative Research Thoughts (IJCRT), 14: 4. K325-K348. ISSN 2320-2882
Ashok, P and Vijaya Babu, Burra and Lakshmi Sridevi, S and Janaki, N and Sarala, Patchala and Subham, Layek (2026) Digital Twin and Blockchain Integration for Smart Hospital Infrastructures Towards Personalized and Predictive Medicine. In: Blockchain and Digital Twins for Smart Hospital Infrastructures. IGI Global Scientific Publishing, USA, pp. 173-203. ISBN 9798337381770
Avinash, Jadhav and Revathy, G (2026) Predictive Modelling for Cardiovascular Health: A Survey on Deep Learning Approaches. In: 2025 3rd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIHEI), Wardha, India.
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.
anjitha, k and Saritha, A (2026) Advancing Network Security with Artificial Intelligence: A Study on Anomaly Detection in Traffic Data. 2025 9th International Conference on Electronics, Communication and Aerospace Technology (ICECA).
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Balaji, A and Padma, E. and Arulmanikandan, Shanmugam and Jayakumar, T (2026) EMERGING TRENDS IN NANOTECHNOLOGY AND ENVIRONMENTAL SUSTAINABILITY. SkillTrack Publications. ISBN 9-788196-299460
Balaji, Kannan (2026) AI PDF question answering system using python. https://www.ijert.org/ ISSN: 2278-0181 An International Peer-Reviewed Journal, 15 (4). pp. 1-21. ISSN ISSN: 2278-0181
Balaji, Kannan (2026) Apex Analytics: F1 Circuit DNA Dashboard — An Interactive Web-Based Formula 1 Analytics Platform with Circuit DNA, Telemetry Visualisation, and Machine Learning Win Prediction. INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY, 12 (12). pp. 2399-2404. ISSN 2349-6002
Balaji, Kannan (2026) DIGITAL DNA FILE THREAT ANALYSIS SYSTEM. INTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN ENGINEERING MANAGEMENT AND SCIENCE (IJPREMS), 6 (4). pp. 2366-2369. ISSN e-ISSN : 2583-1062
Balaji, Kannan (2026) Deep Reinforcement and Meta-Heuristic Hybrid Models for Intelligent Cloud Load Distribution. Proceedings of the International Conference on Electronics and Renewable Systems (ICEARS-2026). pp. 493-499.
Balaji, Kannan (2026) Real-Time Deep Learning Engines for Enterprise-Scale Intrusion Detection and Cyber Risk Management. FMDB Transactions on Sustainable Intelligent Networks, 3 (1): 601. pp. 1-14.
Balaji, Kannan (2026) Secure Cloud Load Balancing: Architecture, Security, and Intelligent Optimization. In: Secure Cloud Load Balancing: Architecture, Security, and Intelligent Optimization. FIRST ed. Imaginex Inks Publication, 71A 71B First Street, RKV Avenue, Old Pallavaram, Chennai 600117, India., pp. 1-213. ISBN ISBN: 978-93-47966-41-5
Balakrishna, R. and Nivetha, k (2026) Deep Neurowave Fusion with Smart Ensemble Stacking for Accurate EEG Eye State Recognition. INTERNATIONAL JOURNAL of SPECIAL EDUCATION. ISSN 1917-7844
Balakrishna, R. and REMA DEVI, S and KHURSHEEDA, KHATOON and VAMSIDHAR, TALASILA and VIMOCHANA, M and PUNIT, PATHAK and SHYAMALA BHARATHY, M (2026) HIERARCHICAL EXPLAINABLE DEEP NEURAL ARCHITECTURE FOR REAL-TIME INTRUSION DETECTION IN ENGLISH EDUCATION ECOSYSTEMS. Journal of Theoretical and Applied Information Technology.
Banushri, A and Kishore Kunal, k and Leena Nesaman, S and Vairavel Madeshwaren, V (2026) Development of an Edge AI Based Embedded System for Appliance Level Energy Monitoring and management for Smart City- Homes. Journal of Marketing & Social Research, 03. pp. 270-281. ISSN 3008-0711
Bharathi, V and Gokul, S and Mohamed Asif, S (2026) AI Vision Board-Vision Board Human Computer Interaction for Smart Education using Open CV and Media Pipe Framework. In: 7th International Conference on Computational Intelligence and Industry 5.0-ICCII 2026.
Bharathi, V and Malathi, M (2026) Predictive System for early Detection and Classification of Pancreatic Cancer Using Deep Learning Techniques. In: Shaping the future of Healthcare,Integrating AI,IOT,Data Innovation-ICSHI 2026, 29.01.2026-30.01.2026, ICSHI-2026.
Booba, B and Shathish Kumar, T (2026) Kolmogorov Smirnov and Scatter Matrix Vector for Software Fault Prediction. In: 2025 IEEE 9th International Conference on Information and Communication Technology (CICT), 19,20,21 December 2025, chennai.
Brindha, K. and Subha, V. and P, Nathiya and A, Vaishnavi and Gayathri, R and K J, Eldho (2026) A Multimodal Explainable Deep Learning Approach for E-Commerce Recommendation and Behaviour Prediction. In: A Multimodal Explainable Deep Learning Approach for E-Commerce Recommendation and Behaviour Prediction, 16 April 2026, Tirunelveli, India.
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Christybai, P Jeba and Priya, R (2026) Meta-Heuristic Optimized Dual-Branch CNN- Transformer with Attention-Guided Multimodal Fusion for Alzheimer’s Diagnosis. In: 2026 International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India.
Christybai, P. Jeba and Priya, R (2026) Attention-Guided Multi-modal Deep Fusion Network for Early Prediction of Alzheimer’s Disease Using Structural MRI and PET Imaging. Attention-Guided Multi-modal Deep Fusion Network for Early Prediction of Alzheimer’s Disease Using Structural MRI and PET Imaging. pp. 105-119.
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Daphne Sherine., H and Revathy, G (2026) Optimized Deep Learning Model for Early Detection of Breast Cancer in Mammograms Using Vision Transformer. Int J Drug Deliv Technol., 16 (23s). 08-23.
Deebesh, S and Surender, J and Hemavathi, P V (2026) Autonomous 6WD Face-Recognizing Robot with Interactive TFT Touch Display for Intelligent Surveillance Applications. In: ICSIE 2026, April 26 2026, Chennai. (In Press)
Deepa, R (2026) Cloud Computing & Devops Integration :Modern Development Strategies. TEXT BOOK, chennai. ISBN ISBN: 978-93-47785-61-0
Deepa, R and Packialatha, A and Gnanajeyaraman, Rajaram (2026) Edge-IoT Facilitated Multimodal Sensor Fusion for Threat Recognition in Women's Safety Wearables. In: 2025 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) November 27-28, 2025, Amity University Dubai, UAE, January 12 2026, Dubai UAE.
Deepa, R and Vijitha, S and Padma, E and Abinaya, G and Abarna, N (2026) FAUTH AI: A MULTIMODAL DEEPFAKE DETECTION. In: NATIONAL LEVEL SYMPOSIUM PRAVESHA 2026 Synthesizing Technology, Celebrating Talent. VISTAS, p. 16. ISBN 9789358138146
Deepa, Dawadi and Prasad Reddy, S R V and Deepa, R. and Punitha, S and Aarthy, G (2026) Energy-Efficient Green Computing Techniques for Edge Devices Using Attention-Guided Federated Learning. IEEE Explore, 1: 1. pp. 1-6. ISSN 979-8-3315-8396-5
Deepak, D and Sarvesh, S and Revathy, G (2026) Smart Helmet for Real-Time Drowsiness and Alcohol Detection with IoT-Enabled Emergency Alerts. International Conference on Advances in Green Net-Zero Innovation – Sustainability AGNI-S 2026 . National Institute of Technology, Trichirapalli.
Devi, K. Anitha and Priya, R (2026) Spectro-TwinNet: Dual-Stream Temporal Deep Learning for Robust Hyperspectral Land-Cover Classification. In: 2026 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India.
Devika, M and Sowmiya Sree, C and Yamini, B and Shobana, P and Jegathambal, P M G and Subalakshmi, C and Christina Angelin, C and Prasanna Ranjith, Christodoss (2026) Optimizing Resource Allocation in Cloud Computing Using AI-Driven Techniques. In: AI-Driven Sustainable and Secure Smart Infrastructure Systems. IGI Global Scientific Publishing, pp. 343-368. ISBN 9798337321424
Divya, S and Bagavathi Lakshmi, R (2026) Migration Strategies from Traditional Cryptography to Post-Quantum Cryptography in Cloud Systems. Shanlax International Journal of Arts, Science and Humanities, 13 (S2-i2-). pp. 254-261. ISSN 2321-788X
Divya, V. and GEETHANJALI, S. (2026) CARDIAC RISK ASSESSMENT FROM CLINICAL DATA. International Journal of Engineering Development and Research, 14. pp. 947-957. ISSN 2321-9939
Divya, V. and MADHU BHASHINI, S (2026) PRODUCT DEMAND FORECASTING WITH CONSUMER BEHAVIOUR CLUSTERING. JOURNAL OF ADVANCE AND FUTURE RESEARCH, 4. pp. 761-767. ISSN 2984-889X
Divya, V. and RAVIKUMAR, S (2026) SHORTFRAME: A WEB-BASED PLATFORM FOR SHORT FILM STREAMING AND MONETIZATION. INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH, 14. ISSN 2321-9939
Divya Bairavi, S and Malathi, M (2026) SYMPTOM-DRIVEN EARLY DETECTION OF EMPHYSEMA EMPLOYING DEEP LEARNING TECHNIQUES. In: SYMPTOM-DRIVEN EARLY DETECTION OF EMPHYSEMA EMPLOYING DEEP LEARNING TECHNIQUES.
Divya Bairavi, S and Prasanna, S. and Prem Kumar, K and Rakesh Kumar, P (2026) Hybrid CNN–SVM Approach for Accurate COPD Classification on Chest Radiographs. In: International Conference on Contemporary Multidisciplinary Research and Innovation.
Dr. Shaik Maheboob, - and Dr. S. Pitchumani Angayarkanni, S and Dr. Mamta Bansal, - and Sridevi, K and Kalpana, R (2026) Q-ChainX: A Quantum-Infused Blockchain Paradigm for Next-Generation Ultra-Secure Data Infrastructures. In: 6th International Conference on IOT Based Control Networks and Intelligent Systems(ICICNIS), December 15 - 17, Bengaluru, India.
Dr.R.Mahalakshmi, VISTAS (2026) Self-Adaptive Graph Analytics for Real-Time Fraud Detection in Transaction Networks. Proceedings of the 9th International Conference on Trends in Electronics and Informatics (ICOEI-2026) DVD Part Number: CFP26J32-DVD; ISBN: 979-8-3315-7587-8, CFP26 (j32): ISBN: 979. pp. 1350-1356. ISSN ISBN: 979-8-3315-7587-8
Dr.Srikanth, V and Kavitha, P.M and Rajendra Kodamanchili, - and Jayendra Gopal Thatipudi, - and Kalpana, R and Neha Upadhyay, - (2026) An Advanced Internet of Things enabled Security System Design for Residential Intrusion Detection. In: ICSADL, 18-20 February 2026, Birendranagar, Nepal.
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Elamathi, E and Revathy, G and Muthukumaran, D (2026) Data Exploration and Visualization. Charulatha Publication, Chennai. ISBN 978-93-7130-827-4
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Fahmida Begum, Begum and Ulagapriya, K (2026) Intelligent Multi Model Ensemble for Engagement Prediction. Journal of Computer Scienc, 22 (4). pp. 1-13. ISSN 1421.1433
Franco, A and Jerold, E and Yamini, B (2026) EMOVISION Real-time multi-face emotion recognition using Deep Learning. In: International Conference on Computational Intelligence and Industry 5.0 Department, 27th & 28th March 2026, Velammal Institute of Technology, Chennai.
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GUNALAN, J and RAGUL, V and Balakrishna, R. (2026) AI-BASED CROP LEAF DISEASE DETECTION USING DEEP LEARNING. In: 7th International conference on computational Intelligence and Industry 5.0, march 27 & 28 , 2026.
Gayathri Devi, S. (2026) DL-Based Transformer Architecture for Real-Time Cyberattack Prediction and Anomaly Detection. In: IEEE International Conference on Advanced Computing Technologies (ICACT). (Submitted)
Gunjan, Nayak and Gugan, R and Kumar, Narayanan (2026) Implementation of Deepface Recognition Using Insight Face For E-Commerce Web Application. In: 7th International Conference on Computational Intelligence and Industry 5.0 (ICCII - 2026), 27.03.2026 & 28.03.2026, Velammal Institute of Technology, Chennai.
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202641010921 A (2026) IOT-ENABLED MACHINE LEARNING FRAMEWORK FOR REAL-TIME CARDIAC ANOMALY PREDICTION AND EMERGENCY ALERTING. 21981.
Harish Reddy, Gantla and Jitender, Jain and Arunasakthi, K and Subarno, Bhattacharyya and Muthukumar, Subramanian and Gayathri Devi, S (2026) Integrating Neuromorphic and Quantum Computing Paradigms for Real-Time Internet of Things Analytics. In: Emerging Hybrid Models for Neuromorphic AI and Quantum Computing. IGI Global Scientific Publishing, New Delhi, pp. 1-30. ISBN 9798337377797
Harish Reddy, Gantla and Sunil Kr, Pandey and Vijayasanthi, M and Jasvinder, Kumar and Abhinav, Pathak and Gayathri Devi, S (2026) An Intelligent Hybrid Framework of Genetic Algorithms and Neural Networks for Climate Prediction. In: International Conference on Computational intelliegence and Soft computing.
Hegde, Gayatri and Saripalli, Arun Kumar and Angelin Stefi, A and Krishna Prasad, S and Dongre, Sandeep and Rekhadevi, B (2026) IoT-Enabled Hybrid SVM–Random Forest-Based Model for Real-Time Air Pollution Prediction in Smart Cities. In: 2026 9th International Conference on Circuit, Power & Computing Technologies (ICCPCT), Kollam, India.
Hemamalini, U and Arunarani, S and Bharathi, A and Shyamala Devi, N (2026) GREEN COMPUTING. Imaginex Inks Publication.
Hemavathi, P V (2026) Hybrid Intelligent Model for Accurate Plant Disease Detection and Agricultural Productivity Enhancement. In: 2nd International conference on Computing, Communication and Green engineering, March 15 2026, Pune. (In Press)
Hemavathi, P V (2026) Hybrid RF–DNN Model for Automated Assessment and Performance Prediction of EFL Learning Outcomes in Higher Education. In: CI2A 2026, July 9 2026, Pune. (In Press)
Hemavathi, P V and Sridevi, S (2026) Microscopic Image-Based TB Detection Using an Enhanced Bi-LSTM Model Optimized by Firefly Algorithm. Microscopic Image-Based TB Detection Using as Enhanced Bi-LSTM Model Optimized by Firefly Algorithm, 16 (688): 87. pp. 688-692. ISSN 5s,2026
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Indhumathi, M and Deepa, R and Rubinabegam, M and Balasubramani, S and Murugan, S and Arjun, P (2026) 1D-CNN-Based Fault Diagnosis for Traction Motors Using Vibration and Current Signals. In: 2026 International Conference on Circuit, Power and Computing Technologies (ICCPCT).
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Jaisharma, K and Thirumal, S (2026) An Automatic Ensemble Multi-Model Chat Context Music Recommender Model. In: Proceedings of the 6th International Conference on Smart Electronics and Communication (ICOSEC-2025).
Janani, I and Kamalakkannan, S (2026) Web-Based Online Voting System for Secure Digital Elections. International Journal of Advanced Research in Science, Communication and Technology, 6 (19). pp. 463-465. ISSN 2581-9429
Jaya prakash, V and Padma, E. and Akaash, V (2026) Real Time Theft Detection using AI. In: 8ᵗʰ INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SCIENCE, ENGINEERING AND MANAGEMENT, 24.04.2026, Chennai.
Jayashree Ananth, S and Mohana Priya, P and Ishwarya, M.V (2026) Quantum computing frameworks for Intelligent Learning systems. LAMBERT Academic Publishing. ISBN 978-620-9-83614-5
Jayashree Prabhakar, A.A. and Abeetha, R. and Farhana Zabeen, S. and Jane Austen, I. (2026) Inscription— Drafting as a Chief Craft. 1 ed. Taylor & Francis, Boca Raton. ISBN 9781003773962
Jeevitha, R and Ramesh, L (2026) Structured Data-Based Query Analysis Processing by Deep Learning Algorithms and Meta Heuristic Optimization. International Academic Journal of Science and Engineering,, 12 (3). pp. 447-457. ISSN 2454-3896
Jeevitha, V and Priya, R (2026) Postpartum Depression Risk Prediction using Hybrid Feature Selection and Ensemble Learning. In: Conference: 2026 Fourth International Conference on Augmented Intelligence and Sustainable Systems (ICAISS).
Jegathambal, P M G and Sheela Gowr, P (2026) A Systematic Survey on Artificial Intelligence Based Gesture Centric Behavioral Profiling and Risk Prediction Among Autistic Children. In: 2025 International Conference on Intelligent Computing, Information and Control Systems (ICOIICS), Lalitpur, Nepal.
Jegathambal, P. M. G. and Madhavan, J and Monica, K M and Gayathri, B and Justin, Z. and Simon, Deepa (2026) Hybrid GAN–Diffusion and Lesion-Aware Generative Models for Crop Disease Classification in Precision Agriculture. In: 2025 International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN), Greater Noida, India.
Jessica, L and Ulagapriya, K (2026) FETAL AUDITORY FUNCTIONALITY ASSESSMENT. In: INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SCIENCE, ENGINEERING AND MANAGEMENT, 24.04.2026, Chennai.
Jeyashree, R and Poongodi, A (2026) Revolutionizing Sustainable Agriculture with SoilFeX: A Multi-modal Soil Feature Extraction Approach. Artificial Intelligence Based Smart and Secured Applications-, 2823. pp. 147-158. ISSN 1865-0929
Jhansi, B and Kamalakannan, T (2026) A Cost-Aware Stacking Ensemble Framework for Early Heart Disease Detection. In: Proceedings of the Second International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI-2026), 02-04 March 2026, Erode, India.
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KADIAM VISHNU, MURTHY and DHINESH, S and Sethu, S (2026) EMOTIBERT: AN ENHANCEMENT OF SENTIMENT ANALYSIS FOR USER REVIEWS. In: 7TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS, 28.03.2026, Chennai, India.
KAVITHA, L and Sumalatha, V. (2026) A REVIEW ON CLOUD COMPUTING - TRENDS AND CHALLENGES. In: International Conference on SYNERGIZING VISION SYSTEMS, 2/2/2026, CHENNAI.
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. In: Predictive Methods in Next‐Generation Computing. Wiley, pp. 175-191. ISBN 9781394248827
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
Kalpana, R and Sridevi, S (2026) A Post-Quantum Cryptography and Machine Learning-Driven Framework for Securing Blockchain-Based Supply Chain. A Post-Quantum Cryptography and Machine Learning-Driven Framework for Securing Blockchain-Based Supply Chain, 16 (4): 4. pp. 30-43. ISSN 09754415
Kalpana, Y and Vasumathi, R (2026) An Empirical Comparative Analysis of LSTM-Based Time Series Models for Skill Gap Forecasting. Intelligent Systems for a Sustainable Future (ISSF 2026), 85. pp. 1-9. ISSN 2261-236X
Kalpana, Y. and Kasturi, K. (2026) Review of Mobile Security Risk Assessment on Smartphone. International Journal of Advanced Research in Science, Communication and Technology, 6 (20). pp. 693-700. ISSN 2581-9429
Kamal, A and Ahamed Aakif sahib, B and Packialatha, A (2026) AI VIRTUAL PRESENTATION SYSTEM: REAL-TIME TOUCHLESS SLIDE NAVIGATION USING DEEP LEARNING. 6 International Conference on Recent Trends in Engineering Technology and Management 2026, 6 . suguna College of Engineering, Samarkand, Uzbekistan. ISBN 978-81-986418-4-7
Kanna, Deepa and Aarthy, C and Udayakumar, N (2026) AI-Based Donor Connect Platform using Blood Type Matching and Real-Time Emergency Location Detection. International Journal of Engineering & Extended Technologies Research, 08 (02). ISSN 23220163
Karpagam, V and Poorani, B and Benasir Begam, F and Anitha, Govindaram and Shakila, M and Narenthirakumar, Appavu (2026) AI-Driven Security Architecture for Wireless Sensor Networks Using Deep Learning. In: 2025 IEEE 2nd International Conference for Women in Computing (InCoWoCo), India.
Kathirvelu, Kalaivani and Venugopal, Jayaprakash (2026) Automated Detection of Diabetic Retinopathy Using Enhanced Transfer Learning and Ensemble Models. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 17 (1). pp. 449-470. ISSN 20935374
Kavipriyan, T and Selin Chandra, C S (2026) SKIN DISEASE DETECTION USING DEEP LEARNING WITH CNN AND ResNet50. Zenodo. pp. 1-9.
Kavitha, N. and Sridevi, S. (2026) OPU-NET-DADENA: Optimized deep learning ensemble with u-net segmentation for early detection of diabetic retinopathy. Microvascular Research, 165. p. 104923. ISSN 00262862
Kavitha, S J and Sridevi, S and Wilfred Blessing, N R (2026) Medical Image Segmentation Using Triple Cross-Attention Graph Agnostic Multi Scale U-Net. In: International Conference on Innovations in Engineering and Next-Generation Technologies for Sustainability (ICINVENTS), 08/11/2026, Coimbatore, India.
Kiranmai, Vanaparthi and Manikandan, A (2026) Optimizing Radial Basis Function Networks to Comprehend and Alleviate Perturbation Effects. In: Sustainable Innovations in Statistics and Data Science. Springer, pp. 12-26.
Kothai, N S and Sumalatha, V. (2026) BRIDGING THE THEORY-PRACTICE GAP: EVALUATING THE IMPACT OF APPLICATION-BASED TEACHING METHODS ON STUDENT OUTCOMES IN INTRODUCTORY PROGRAMMING. In: International Conference on SYNERGIZING VISION SYSTEMS, 2- 02-2026, CHENNAI.
Kottaimalai, Ramaraj and Kavitha, S.J and Preena Jacinth Shalom, S and Prasath Alias Surendhar, S and Indumathi, R and Sakkaravarthi, S (2026) Transfer Learning with DenseNet for Accurate Breast Histopathology Images Classification. In: International Conference on Electronics, Communication and Aerospace Technology (ICECA), 7/11/2025, Coimbatore, India.
Kumarasundari, V and Rekhadevi, B (2026) Automatic Timetable Generation Using Optimization and Graph Coloring Algorithms. In: Automatic Timetable Generation Using Optimization and Graph Coloring Algorithms. RAC mics. ISBN 9789349552579
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LAHARI, K and Manikandan, A (2026) Cold Start Video Recommendation Using Regression Models Based On Watch Ratio Prediction. International Journal of Advances in Signal and Image Sciences, 12 (3S). pp. 1282-1295. ISSN 2457-0370
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