Items where Author is "Arunachalam, A S"

Article

Mahalakshmi, C and Arunachalam, A S (2026) AI-Based Traffic Management System for Urban Areas: Real-Time Ambulance Detection and Signal Optimization Using Top-View Images. Zenodo, 1 (1): 20755717. pp. 44-53.

Naveen Kumar, R and Arunachalam, A S (2026) AI -Powered Web Application for Automated Short Video Generation. International Journal of Science, Strategic Management and Technology, 2 (5): 55041. pp. 1-6. ISSN 108-1762

SNEGA., B and Arunachalam, A S (2026) Smart Autism Prediction Using Deep Learning and Image Processing. ICONIC RESEARCH AND ENGINEERING JOURNALS, 9 (11): IRE 171744. pp. 789-797. ISSN 2456-8880

Sivitha, M and Arunachalam, A S (2026) Smart Gas Leak Detection using Thermal Vision and Deep Neural Networks. Zenodo, 1: 20036895. pp. 43-49.

Bharathi, K and Arunachalam, A S (2026) Quality Enhancement Techniques for Breast Carcinoma in Epithelial Tissue Identification Process. ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA, 12 (58). pp. 424-433. ISSN 24470228

Manimegalai, R and Devipriya, S and Arunachalam, A S and Vengusamy, Sivakumar (2025) Optimized Kernel Fuzzy Clustering for Breast Lesion Segmentation in Mammograms. Journal of Computational Intelligence and Decision Science: jcids.2026. pp. 1-12.

Nalini, K S and Arunachalam, A S (2025) CONTINUAL LEARNING-DRIVEN LAPLACIAN PALE TRANSFORMATIVE CONVOLUTION NETWORK FRAMEWORK FOR DIABETIC RETINOPATHY DETECTION FROM RETINAL FUNDUS IMAGES. Journal of Theoretical and Applied Information Technology, 103 (19). pp. 8073-8081. ISSN 1992-8645

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

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

Angamuthu, T and Arunachalam, A S (2025) Employing Visiοn Transfοrmеrs for High-Prеcisiοn Sugar‎canе Disеasе Classificatiοn: A Dееp Lеarning Pеrspеctiνе. International Journal of Basic and Applied Sciences, 14 (1). pp. 222-227. ISSN 2227-5053

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

Kalaivani, J and Arunachalam, A S (2023) Automatic detection of infected areas of CT images in COVID-19 patients using Inf-Seg-Net. International Journal of Advanced Technology and Engineering Exploration, 10 (104). ISSN 23945443

Arunachalam, A S and Sree, S. Vaishnavi and Dharmarajan, K (2019) Malware Detection and Classification using Random Forest and Adaboost Algorithms. International Journal of Innovative Technology and Exploring Engineering, 8 (10). pp. 2863-2868. ISSN 22783075

Book Section

Santhi, S and Arunachalam, A S (2025) 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.

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. Springer, pp. 113-128.

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.

Conference or Workshop Item

Santhi, S and Arunachalam, A S (2026) Advanced Evolutionary Optimization-Based Deep Ensemble Learning for Kidney Disease Prediction Using CT Images. In: 2026 8th International Conference on Intelligent Sustainable Systems (ICISS), 4 th march 2026, Tirunelveli, India.

Meenakshi, S and Arunachalam, A S (2026) AECNN: A Dual-Stage Deep Learning Framework for Accurate and Efficient Ultrasound-Based Breast Cancer Detection. In: 2025 2nd International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), 09-10 October 2025, Chennai, India.

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.

Nalini, K S and Arunachalam, A S (2025) Diabetic Retinopathy Prediction from Retinal Fundus Images using a Conditional Self-Attention GAN. In: 2025 7th International Conference on Innovative Data Communication Technologies and Application (ICIDCA), 06-08 October 2025, Coimbatore, India.

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.

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.