Items where Author is "Thirunavukkarasu, K S"

Article

ANISHA, R and Thirunavukkarasu, K S (2026) AI-Powered Road Accident Detection Using Learning. AI-Powered Road Accident Detection Using Learning, 02 (09). 01-06. ISSN 3108-1762

Santhosh Kumar, K and Thirunavukkarasu, K S (2026) ASPIRO AI An Intelligent Mentoring and Career System Powered by Artificial Intelligence for students and Professionals. ASPIRO AI An Intelligent Mentoring and Career System Powered by Artificial Intelligence for students and Professionals. pp. 1-8.

Rathimeena., R and Thirunavukkarasu, K S (2026) Automated Brain Tumor Classification using Deep Learning. International Journal of Science, Strategic Management and Technology, 02 (05). pp. 1-9. ISSN 31081762

Abhilash Yasiid, N and Thirunavukkarasu, K S (2026) PLANT DISEASE DETECTION USING CONVOLUTIONAL NEURAL NETWORK. PLANT DISEASE DETECTION USING CONVOLUTIONAL NEURAL NETWORK, 4 (4). pp. 1-6. ISSN 2456-3987

Jayanth, S J and Thirunavukkarasu, K S (2026) Smart ATS Intelligent Resume Builder Using NLP. Smart ATS Intelligent Resume Builder Using NLP, 4 (4). pp. 204-207. ISSN 29849276

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, 1 (18). pp. 1-16.

Rama Gangi Reddy, K and Thirunavukkarasu, K S (2025) IoT-Enabled MobileNetV3-Tiny with CBAM for Real-Time Sweet Lemon Leaf Disease Detection. International Journal of Research Publication and Reviews, 6 (9). pp. 1223-1233. ISSN 25827421

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, 13 (3). pp. 574-584. ISSN 2321-9939

Rama Gangi Reddy, K and Thirunavukkarasu, K S and Hima Sekhar, K (2025) Efficient Technology for Detecting Real-Time Sweet lemon leaf Diseases Using IoT: A Thing Speak-Node MCU Based Approach. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 11 (3). pp. 985-993. ISSN 2456-3307

Mageswari, M K and Thirunavukkarasu, K S (2025) Hall Ticket Scanner. International Journal of Multidisciplinary Research in Science, Engineering and Technology, 8 (5). pp. 9027-9022. ISSN 25827219

Mohamed Fasith, B and Thirunavukkarasu, K S (2025) Smart Banking Solution. Smart Banking Solution, 3 (2). pp. 406-408. ISSN 2583-9667

1Nathish Kumar, M and Thirunavukkarasu, K S (2025) Task scheduling in cloud computing. INTERNATIONAL JOURNAL OF ADVANCE RESEARCH IN MULTIDISCIPLINARY, 3 (2). pp. 203-207. ISSN 2583-9667

RAMYA, V and Thirunavukkarasu, K S (2025) A Novel Customized Sequential Deep Learning Model (CSDLM) For Covid-19 Risk Prediction. A Novel Customized Sequential Deep Learning Model (CSDLM) For Covid-19 Risk Prediction, 10 (48). pp. 808-821. ISSN 2468-4376

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: 2025 International Conference on Sustainable Communication Networks and Application (ICSCN), 15-17 October 2025, Theni, India.

Rama Gangi Reddy, K and Thirunavukkarasu, K S (2025) A Hybrid Edge-Cloud IoT Framework for Real- Time Plant Disease Detection using Multimodal Data Fusion. In: 3rd International Conference on Sustainable Computing and Smart Systems (ICSCSS 2025), 20-22 August 2025, Coimbatore, India.

Gangi Reddy, K. Rama and Thirunavukkarasu, K S (2025) A Hybrid Edge-Cloud IoT Framework for Real-Time Plant Disease Detection using Multimodal Data Fusion. In: 2025 3rd International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, 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.

MONISH, E and Thirunavukkarasu, K S and Aneetha, A.S. (2024) INTERNATIONAL JOURNAL OF ADVANCE RESEARCH IN ULTIDISCIPLINARY. In: INTERNATIONAL JOURNAL OF ADVANCE RESEARCH IN MULTIDISCIPLINARY.

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.

Elantheraiyan, P and Vinayagam, K and Sasikumar, P and Kotteeswaran, M. and Thirunavukkarasu, K S and Sankar Singh, K. (2023) REVOLUTIONIZING E-COMMERCE - DEEP LEARNING AND DISTRIBUTED EXPRESSION FOR CUTTING-EDGE PRODUCT ADVERTISING. In: 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), 01-02 November 2023, Chennai, 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.

Book

Samuel, Gideon George P and Thirunavukkarasu, K S (2026) SECURE FILE STORAGE USING ENCRYPTION. AI-Driven Digital Transformation across Arts, Science, Management, and Engineering: A Systematic Review. ISBN 978-81-984949-0-0