Items where Subject is "Deep Learning"
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Subject Areas
(571)
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Artificial Intelligence and Machine Learning
(18)
- Deep Learning (7)
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Artificial Intelligence and Machine Learning
(18)
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Hariharasudhan, S and Rajeshwari, S and Priyadharshini, SV and Vishnu Priya, K and Santhoshkumar, SP and Gajalakshmi, S (2025) Beyond Signature-based Defense: Deep Learning Frameworks for Concealed Cyber Exploit Detection. In: 2025 6th International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS), Bengaluru, India.
Haritha, T and SanthoshBabu, A.V. and Sharmila, B and Sasikala, K (2026) Linear Gaussian Kernel Cycle Generative Adversarial Networks based Transformer Learning for Early-Stage Stroke Prediction with Parkinson and Skin Disease. International journal of Artificial intelligence and machine learning. ISSN 2789-2557
Haritha, T. and Vinoth, M and Ramyarani, N and Venkatesh Babu, S and Anandaram, Harishchander and Keerthana, N V (2025) Cuckoo Search-Optimized Residual Networks for Identification of Diabetic Foot Ulcers. 2025 8th International Conference on Computing Methodologies and Communication (ICCMC). pp. 1-6. ISSN 979-8-3315-1211-8
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Keerthana, R and Baby Anitha, E. and Karthika, J and Agalya, M and Haritha, T and Viswanathan, R.V. (2025) AI-Driven Object Detection Using YOLOv7 and Enhanced Small-Object Recognition with Vision Transformers for Real-Time Surveillance Solutions. In: 2025 4th International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India.
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Pandiaraja, P and Visali, C and Revathi, S and Murali, S and Karthik, K and Selvarathi, C (2025) A Deep Learning Based Framework for Automated Freshness and Quality Assessment in Agricultural Produce. In: 2025 4th International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), Tirupur, India.
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Ramakrishnan, S. and Pradeepa, G. and Brindha, Samarasam and Maheswari, S. and Brindha, P. and Parimala Devi, M (2026) Advanced Artificial Intelligence and Multi-Source Remote Sensing for Agricultural Monitoring and Forecasting:. In: AI for Climate Governance, Agriculture and Earth Systems. IRMA International, pp. 293-332.
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Sivapriya, K. and Sangeetha, M. (2026) CupMoNN-SwBA: Temporal Citrus Disease Detection Using Coupled Modular Neural Network with Swarm Bipolar Algorithm. In: 2026 4th International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA), Namakkal, India.
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