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Shalinigayathri, D. and Arunachalam, A S (2025) A Novel Relevance Feedback Prediction Method (RFPM) for Predicting and Forecasting the Optimised OHLC Stock Price. In: Congress on Smart Computing Technologies (pp.113-128). Springer, pp. 113-128.

Kalaivani, J. and Arunachalam, A S and Gobinath, R. (2024) A Novel Preprocessing Technique to Aid the Detection of Infected Areas of CT Images in COVID-19 Patients Artificial Intelligence (AI) for Communication Systems. In: 2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT), Pune, India.

Shunmuga Kumari, D. and Arunachalam, A S (2024) A Novel Remote Sensing Image Retrieval Method Using Intersected Similarity and Clustering Index (ISCI) Transfer Learning. In: Smart Innovation, Systems and Technologies ((SIST,volume 395)). Springer Nature Link, pp. 161-179.

Sabarish, M. and Arunachalam, A S (2023) A Trust Secure Attacker Detection with Upgraded Deep Learning-Assistance for SDN Networks. In: 2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

Santhi, S and Arunachalam, A S (2026) An Analysis of Disease Prediction and Symptom Classification Based on Machine Learning with the CT Kidney Dataset. In: Smart Innovation Systems and Technology. Proceedings of Fifth International Conference on Advances in Computer Engineering and Communication Systems, pp. 189-197.

Angamuthu, T and Arunachalam, A S (2025) A COMPARATIVE ANALYSIS OF CNN, GA, RF & RNN FOR IMAGE CLASSIFICATION: INSIGHTS ON PERFORMANCE AND OPTIMISATION USING HYBRID APPROACHES. Journal of Theoretical and Applied Information Technology, 103 (9). pp. 3890-3897. ISSN 1992-8645

Nalini, K S and Arunachalam, A S (2026) Explainable Triple Attention Dual Scale Residual Network for Diabetic Retinopathy Detection Using Retinal Fundus and OCT Images. In: 2025 5th International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), 12 september 2025, MANDYA, India.

Angamuthu, T and Arunachalam, A S (2025) Hybrid deep learning technique for Identifying Diseases in Sugar-cane Crops. Research Square.

Angamuthu, T and Arunachalam, A S (2025) Comparative Analysis of Deep Learning and Optimization Techniques for Sugarcane Disease Classification. Premier Journal of Computer Science. ISSN 2977-5973