Items where Subject is "Deep Learning"
- VELS Subject Areas (14)
- Computer Science Engineering (14)
- Deep Learning (14)
- Computer Science Engineering (14)
A
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).
B
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 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.
C
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.
D
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.
K
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
R
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
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 Challenges, Interpretability, and Future Outlook. In: ?? ?.
S
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
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
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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