Items where Subject is "Deep Learning"

Group by: VELS Creators | Item Type
Jump to: A | B | C | D | K | R | S
Number of items at this level: 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.

This list was generated on Wed Mar 4 23:42:14 2026 IST.