Items where Author is "Thirunavukkarasu, K S"

Jency, A and Thirunavukkarasu, K S (2026) Criminal Identification using Residual Densenet with Particle Swarm Optimization for Facial Attribute Prediction. In: 9th International Conference on Electronics, Communication and Aerospace Technology (ICECA-2025).

Jency, A and Thirunavukkarasu, K S (2025) Triple-Stream Attention Network (TSAN): A Multi- Phase Deep Learning Framework for Robust Facial Recognition. In: International Conference on Sustainable Communication Networks and Application (ICSCN-2025).

Jency, A. and Thirunavukkarasu, K S (2025) Triple-Stream Attention Network (TSAN): A Multi-Phase Deep Learning Framework for Robust Facial Recognition. In: 2025 International Conference on Sustainable Communication Networks and Application (ICSCN), Theni, India.

SATHYA, R and Thirunavukkarasu, K S (2025) Enhanced weed and crop species classification using optimized machine learning and ensemble techniques. INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS.

Rama Gangi Reddy, K and Thirunavukkarasu, K S (2025) Multi-Agent Edge-Fog Intelligence With Explainable Vision Transformers For Sweet Lemon Crop Disease Analytics. International Journal of Engineering Development and Research.

Ramya, V. and Thirunavukkarasu, K S (2025) Prediction of Covid and Covid-19 and Omicron data with ESPRINT, ERF, CSDLM and HMC-19HRP Models. In: 2025 Fifth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India.

Rama Gangi Reddy, K and Thirunavukkarasu, K S and Hima Sekhar, K. (2025) Edge AI and CNN for Real-Time Plant Disease Detection using IOT. INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH OF SCIENCE ENGINEERING AND TECHNOLOGY, 18 (1).

Reddy, K. Rama Gangi and Thirunavukkarasu, K S (2025) The Convolutional Neural Networks Model of Algorithm Is Used to Identify Diseases in the Leaves of Sweet Lemon Plants-A Comprehensive Review. In: Sustainable Development Goals Series ((SDGS)). Springer Nature Link, pp. 39-47.

SHIBI, MATHAI and Thirunavukkarasu, K S (2024) Detection of CKD Status using Feature Selection Approach based on Random Forest Classifier. Communication on Applied on Non Linear Analysis.

Reddy, K. Rama Gangi and Thirunavukkarasu, K S (2024) Deep Learning Approach for Disease Detection in Sweet Lemon Leaves to Enhance Citrus Fruit Yield. In: 2024 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India.

Elantheraiyan, P and Vinayagam, K and Sasikumar, P and Kotteeswaran, M. and Thirunavukkarasu, K S and Sankar Singh, K. (2024) REVOLUTIONIZING E-COMMERCE - DEEP LEARNING AND DISTRIBUTED EXPRESSION FOR CUTTING-EDGE PRODUCT ADVERTISING. In: IEEExplore- 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India.

Jayanthi, C and Rukmani, A and Annalakshmi, D and Arumugam, M and Thirunavukkarasu, K S and Sasikumar, P (2024) Unveiling E-Commerce User Behavior through Deep Learning Evolutionary Data Mining. In: IEEExplore- 2023 International Conference on Research Methodologies in Knowledge Management Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India.

Ramya, V and Thirunavukkarasu, K S (2024) An Covid-19 Disease Prediction and Analysis Using Sprint Algorithm in Machine Learning Technique. Journal of Chemical Health Risks. ISSN 2251-6727

RAMYA, V and Thirunavukkarasu, K S (2023) COVID OMICRON PREDICTION USING RANDOM FOREST CLASSIFICATION. Eur. Chem. Bull.. ISSN 3173-3185

Mathai, Shibi and Thirunavukkarasu, K S (2023) DataDriven Approaches for Early Detection and Prediction of Chronic Kidney Disease Using Machine Learning. In: ICIMMI 2023: International Conference on Information Management & Machine Intelligence, 23 11 2023 25 11 2023, Jaipur India.

SHIBI, MATHAI and Thirunavukkarasu, K S (2023) Data-Driven Approaches for Early Detection and Prediction of Chronic Kidney Disease Using Machine Learning. In: ICIMMI 2023, November 23–25, 2023, Jaipur, India.

Mathai, Shibi and Thirunavukkarasu, K S (2023) A systematic assessment and meta-analysis of machine learning methods for predicting and Classifying severe Long Term kidney disease. In: 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS), Bangalore, India.

Shibi, Mathai and Thirunavukkarasu, K S (2023) A comprehensive evaluation and meta-analysis of machine learning techniques for identifying and classifying chronic renal disease. International Journal of Research and Analytical Reviews (IJRAR). ISSN 2349-5138

Kumar, Senthil and Atyam, Nageswara Rao and K, Khadar Nawas and Awasthi, Shashank and Kotteeswaran, M. and Thirunavukkarasu, K S (2023) A Smart Capacity Enhancement and Estimation Model for Hybrid Buildings by using Light Weight Deep Learning Model. In: 2023 International Conference on Disruptive Technologies (ICDT), Greater Noida, India.