Items where Author is "Thirunavukkarasu, K S"

Article

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.

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).

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.

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

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

Book Section

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.

Conference or Workshop Item

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.

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.

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.

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.

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.