Items where Subject is "Deep Learning"

Article

Agalya, D and Kamalakkannan, S and Kavitha, P (2025) DETECTION OF BRAIN TUMOR USING VGG16 AS AUTOENCODER WITH BI-LONG SHORT TERM MEMORY METHOD. Journal of applied mathematics & informatics, 43 (5).

Aleena, M A and Sangeetha, Radhakrishnan (2026) HYBRID MACHINE LEARNING MODEL FOR PREDICTIVE ANALYTICS AND DECISION MAKING. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE, 14 (1): 28. pp. 9-15. ISSN 2348-6600

Angamuthu, T and Arunachalam, A S (2025) Employing Visiοn Transfοrmеrs for High-Prеcisiοn Sugar‎canе Disеasе Classificatiοn: A Dееp Lеarning Pеrspеctiνе. International Journal of Basic and Applied Sciences, 14 (1). pp. 222-227. ISSN 2227-5053

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.

Benasir Begam, F (2024) YOLO-Based Object Detection: Evolution, Real-Time Performance, and Applications in Intelligent Vision Systems. International Journal of Intelligent Communication and Computer Science, 3 (1). pp. 31-52.

Chairmadurai, Palanisamy and Kavitha, Pachamuthu and Arun Kumar, Ramamoorthy (2026) Heart disease prediction using hybrid deep learning and medical imaging with wavelet-based feature extraction. International Journal of Reconfigurable and Embedded Systems (IJRES), 15 (1). pp. 183-193. ISSN 20894864

Deepa, R. and Packialatha, A (2025) Structural Brain Network Analysis in Schizophrenia Using Fmri With Deep Learning Algorithm. 2nd International Conference on Multidisciplinary Science and Technology towards Sustainability ICMSTS 2025, March 23, 2025, 1: 11288.

Javitha, Anix Mary and Mary Livinsa, Z (2026) CORE-MONET: A Multi-Stage Ensemble Deep Learning Framework for Automated COVID-19 Detection and Explainable Lung Infection Severity Assessment from Chest X-rays. National Academy Science Letters. ISSN 0250-541X

Kiranmai, Vanaparthi and Manikandan, A (2025) An Informative Perturbation Network for the Design of Colonel Adaptive AI Systems. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 16 (4). pp. 454-477. ISSN 20935374

Kuppan, P. and Vishwa Priya, V (2025) On-Demand Forecasting-Based Crop Yield Prediction and ‎Recommendation Using Deep Ensemble Swarm Intelligence ‎with Multi-Perceptron Neural Network. International Journal of Basic and Applied Sciences, 14 (SI-1). pp. 538-584. ISSN 2227-5053

MARIMUTHU, P and PARAMESHWARAN, B and ANUSURYA, R A and Akila, A (2026) Synthetic Image Detection using Deep Learning. International Journal of Science, Strategic Management and Technology, 2 (5). pp. 1-5. ISSN 3108-1762

Mohankumar, N and Kumar, G Ramesh and Rajalakshmi, P and Sridevi, S and Fathima, S K and Koti Reddy, M and Padma Lata, M K (2025) An Optimized Hybrid CNN-LSTM Model for Epileptic Seizure Detection and Prediction. Engineering Technology and Applied Science Research, 15. pp. 26085-26090. ISSN 1792-8036

Radhika, Perumal and Kamalakkannan, S (2025) Hybrid Bio‐Inspired Combined Deep Learning Model for DDoS Attack Detection in Cloud: A Big Data Perspective. Transactions on Emerging Telecommunications Technologies, 36 (12). pp. 1-21. ISSN 2161-3915

Ramya, J and Poongodi, A (2026) A Novel Ensemble Model Integrating Efficient Net for Improved Diagnosis in Medical Imaging. Grenze International Journal of Engineering and Technology, June Issue.

Senthilkumar, Sangamithra and Mothilal Nehru, G and Anbarasi, C. and Jayashree, S. and Vishwa Priya, V and Jebathangam, J and Yogeshwari, M and Divya Sterlin, D (2025) Advanced Deep Learning Techniques for Accurate Prediction of Heart Diseases Using Electrocardiogram Signal Analysis. Journal of Information Systems Engineering and Management, 10 (25s). pp. 288-323. ISSN 2468-4376

Book Section

Hemavathi, P.V. (2025) Deep Learning Based Early Detection of Ocular Squamous Cell Carcinoma in Calves. In: Deep Learning Based Early Detection of Ocular Squamous Cell Carcinoma in Calves. International Research Journal on Advanced Engineering Hub (IRJAEH), chennai, pp. 3455-3458. ISBN 2584-2137

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.

Revathy, G (2024) Challenges, Interpretability, and Future Outlook. In: ?? ?.

Sangeetha, Radhakrishnan and Prasanth, A. and Sowndarya, K.K. Devi and Elngar, Ahmed A. (2025) Drone‐Based Application of Warehouse Logistics – A Case Study. In: Drones for Transportation Logistics and Disaster Management. Wiley, pp. 299-327. ISBN 9781394386451

Conference or Workshop Item

Abhay andrew, iyer and Shalom, T Sam and Usha Rupni, K (2026) PORTABLE RETINAL DIAGNOSTIC SYSTEM USING GENAI & DEEP LEARNING FOR DECENTRALIZED EYE CARE. In: International Conference on Innovation and Challenges in Engineering and Technology (ICICET-2026), 20 March 2026.

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.

B, Shyamala Gowri and Anu H Nair, S. and Sanal Kumar, K. P. and Kamalakkannan, S (2023) An Efficient Cancer Classification Model Using Deep Neural Network with Arithmetic Optimization Algorithm-Based Optimal Gene Selection. In: 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India.

Chairmadurai, P and Kavitha, P (2025) Heart Disease Prediction Using Bi-GRU with GWO for Tuning Parameter. In: 2025 6th International Conference on Data Intelligence and Cognitive Informatics (ICDICI), Tirunelveli, India.

Chandra Mohini, C P and Raghavendran, V. (2025) Digital Twin-Assisted Learning Performance Prediction for Shopfloor Employees Using Deep Learning Model. In: 2025 IEEE 4th World Conference on Applied Intelligence and Computing (AIC), GB Nagar, Gwalior, India.

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.

Deepa, R and Packialatha, A (2025) Early prediction of Schizophrenia using FMRI and Deep learning. In: International Conference on Neural Evolution & Adaptive Intelligence (ICNEAI -2025).

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.

Malathi, P and Parameswari, R (2026) Multi Variant Deep Transfer Learning Analytics Model for Improved Health Care Solution Using Big Data. In: 2026 5th International Conference on Sentiment Analysis and Deep Learning (ICSADL), Birendranagar, Nepal.

Manikandan, G. and Dhinesh Kumar, S and Revathy, G (2026) Comparative Analysis of YOLOv8, ResNet, and Enhanced EfficientNet-B4 + U-Net : For Automated Road Damage Detection and Segmentation. In: 2026 Third International Conference on Networking and Communications (ICNWC), Chennai, India.

Monika, E and Rajesh Kumar, T and Benasir Begam, F and Janu, K S and Jegatheesan, A and Narenthirakumar, Appavu (2026) Robust Self-Supervised Deep Learning for Real-Time Aerial Object Detection Under Low-Visibility Conditions. In: 2025 5th International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN), Coimbatore, India.

Nagarajan, V. and Meenakshi, C. (2025) Enhancing Sleep Apnea Prediction Using Advanced Numerical Dataset Analysis. In: 2025 9th International Conference on Inventive Systems and Control (ICISC), Coimbatore, India.

Reddy, K. Srinivasa and Revathy, G (2025) A Comprehensive Review on Predicting Specific Substructures in the Brainstem using Deep Learning Techniques. In: 2025 8th International Conference on Computing Methodologies and Communication (ICCMC), July 23 -25 2025, Erode, India.

Rohini, A. and Packialatha, A (2025) Functional Brain Connectivity Analysis of the Amygdala Using SPM and ICA on VAM fMRI Data. In: 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems, December 31 2025, coimbatore.

SANTHOSH, S and Gowtham, K and Deepa, R. (2026) DATA QUALITY AWARE CUSTOMER RETENTION PREDICTION. In: RETENTION PRO -DATA QUALITY AWARE CUSTOMER RETENTION PREDICTION.

Saviour, Mariya Princy Antony and Samiappan, Dhandapani and Sethu, S and Al-Shaikh, Ala’a and Chadge, Rajkumar and Dinesh, M (2025) Investigating Blockchain as a Confirmation Mechanism for Decentralized Computing Platform’s PrivacyPreserving Deep Learning Models. In: 2025 10th International Conference on Smart Structures and Systems (ICSSS), Chennai, India.

Shakila, C and Kamalakannan, T (2025) Deep Hybrid Meta-Heuristic Model for Real-Time Facial Emotion Analysis. In: 2025 4th International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India.

Sivagar, M.R. and Battu, Narsaiah and K, Jayaram and Christilda, V. Dyana and Edwin Arshina, P X and S, Srimathi (2026) XBlock-ExplainNet: An Interpretable Deep Learning Model for Fraud Detection in Blockchain-Based Fintech Systems. In: 2026 5th International Conference on Communication, Computing and Electronics Systems (ICCCES), 21-23 January 2026, Coimbatore, India.

Somasundaram, S. and Gobinath, R. (2019) Current Trends on Deep Learning Models for Brain Tumor Segmentation and Detection – A Review. In: 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), Faridabad, India.

Thirumal, S and Udayakumar, N and Kumar, Narayanan and Saritha, A and Sheela Gowr, P (2025) Exploring the Log4j Zero-Day Vulnerability: Implications for Application Security and Privacy. In: 2025 2nd International Conference on Computing and Data Science (ICCDS), Chennai, India.

Thirunellai, Annamalai and Parvathi, Annamalai and Poongodi, A (2026) Enhanced Deep Learning Framework for Lung Disease Detection Using Optimized Segmentation and Classification of Chest X-Ray Images. In: 2025 International Conference on Transformative Computing Technologies (ICTCT), Bangalore, India.

Vamaraju Hari Hara Nadha, Sai and Pradeep, Kumar and Sangeetha, S and Husen Rajabali, Kagdi and Dinesh, P. M. and Selin Chandra, C S (2026) Neural Network based Approaches for Identifying and forecasting Rice Leaf Disease Detection. In: 2025 2nd International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT), 30-31 October 2025, Warangal, India.

Venkata Lakshmi Keerthi, K and Vijayalakshmi, P and Rajendran, V (2026) Shadow-Aware Region-of-Interest Guided Multi-Scale Deep Feature Framework for Automatic Target Recognition in Side-Scan Sonar Images. In: 2026 7th International Conference on Smart Systems and Inventive Technology (ICSSIT), 28-30 July 2026, Warangal, India.

Book

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

NARENDRA KUMAR KAMILA, N and CHINTUREENA THINGOM, C and Balakrishna, R. and VAMSI MOHAN, Y.N.S (2026) Principles of soft computing. RG INTERNATIONAL PUBLICATION. ISBN 978-93-47331-86-2