Items where Subject is "Deep Learning"

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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).

Annamalai, Thirunellai and Annamalai, Parvathi and Poongodi, A. (2025) 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.

Avinash, Jadhav and Revathy, G (2025) 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.

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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.

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.

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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.

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

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.

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

Deepa, R. (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: 11288.

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E., Monika and Kumar, T.Rajesh and F, Benasir Begam and K.S., Janu and A., Jegatheesan and Appavu, Narenthirakumar (2025) 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.

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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

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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

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Kavitha, S.J and Kottaimalai, Ramaraj 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.

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

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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.

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

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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

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.

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ROHINI, A and Packialatha, A (2025) Functional Brain Connectivity Analysis of the Amygdala Using SPM and ICA on VAM fMRI Data. IEEE Explore.

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). 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.

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), Erode, India.

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

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

Sangeetha, Radhakrishnan and Prasanth, A. and Sowndarya, K.K. Devi and Elngar, Ahmed A. and UNSPECIFIED1 (2025) Drone‐Based Application of Warehouse Logistics – A Case Study. In: Drones for Transportation Logistics and Disaster Management. Wiley, pp. 299-327. ISBN 9781394386451

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.

Selin Chandra, C S (2026) Neural Network based Approaches for Identifying and forecasting Rice Leaf Disease Detection. Neural Network based Approaches for Identifying and forecasting Rice Leaf Disease Detection. pp. 1-6.

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

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.

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.

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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.