Items where Author is "Kamalakkannan, S."

Rekha, S. Sasi and Kavitha, P. and Kamalakkannan, S. (2024) Towards Sustainable Waste Management: Exploring Machine Learning and Deep Learning Solutions for Biodegradable and Non-Biodegradable Waste Identification. In: 2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN), Salem, India.

Radhika, P. and Kamalakkannan, S. and Kavitha, P. (2023) Review of DDoS Attack Detection in Big Data with Cloud using Machine Learning. In: 2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India.

Yogeshwar, A. and Kamalakkannan, S. (2023) Proposed association rule hiding based privacy preservation model with block chain technology for IoT healthcare sector. Computer Methods in Biomechanics and Biomedical Engineering, 26 (15). pp. 1898-1915. ISSN 1025-5842

Kamalakkannan, S. and Yasmin, A. and R, Arunkumar. and Kavitha, P. (2023) A Model for the Analytical Performance of Data Lake in Stock Market Analysis with Databricks Delta Lake. In: 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), Erode, India.

Sundaram, Srinidhi and Kamalakkannan, S. and Jayaraman, Sasikala (2023) Seagull optimization-based near-duplicate image detection in large image databases. The Imaging Science Journal, 71 (7). pp. 647-659. ISSN 1368-2199

Kalaivani, G. and Kamalakkannan, S. and Kavitha, P. (2023) A Novel Air Quality Prediction System with Long Term Storage with Hyper Parameter Tuning. In: 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India.

Senthilarasi, S. and Kamalakkannan, S. (2023) Deep learning: Spatial-Temporal road traffic data congestion using Agglomerative Clustering. In: 2023 9th International Conference on Electrical Energy Systems (ICEES), Chennai, India.

Yasmin, A. and Kamalakkannan, S. (2023) Analytical Performance in Data Lake Storage of Big Data Analytics by Databricks Delta Lake for Stock Market Analysis. In: Analytical Performance in Data Lake Storage of Big Data Analytics by Databricks Delta Lake for Stock Market Analysis. Springer, pp. 213-226.

Senthilarasi, S. and Kamalakkannan, S. (2022) The Role of Convolutional Neural Network in Vehicle Detection on Spatial - Temporal Road Traffic Data. In: 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India.

Kalaivani, G. and Kamalakkannan, S. (2022) Web Scraping Technique for Prediction of Air Quality through Comparative Analysis of Machine Learning and Deep Learning Algorithm. In: 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India.

Kavitha, P. and Jayalakshmi, V. and Kamalakkannan, S. (2022) Classification of Skin Cancer Segmentation using Hybrid Partial Differential Equation with Fuzzy Clustering based on Machine Learning Techniques. In: 2022 International Conference on Edge Computing and Applications (ICECAA), Tamilnadu, India.

Revathy, M. and Kamalakkannan, S. (2022) Jigsaw Technique in Social Media for Collaborative Learning to Enhance Intellectual Skills of Dropout Students. In: 2022 International Conference on Edge Computing and Applications (ICECAA), Tamilnadu, India.

Yasmin, A. and Kamalakkannan, S. and Kavitha, P. (2022) Stock Market Prediction using Machine Learning Models. In: 2022 International Conference on Edge Computing and Applications (ICECAA), Tamilnadu, India.

Sivasankari, N. and Kamalakkannan, S. (2022) Detection and prevention of man-in-the-middle attack in iot network using regression modeling. Advances in Engineering Software, 169. p. 103126. ISSN 09659978

Yogeshwar, A. and Kamalakkannan, S. (2022) Building Dynamic permutation based Privacy Preservation Model with Block Chain Technology for IoT Healthcare Sector. In: 2022 International Conference on Advanced Computing Technologies and Applications (ICACTA), Coimbatore, India.

Devi, G. Dharani and Kamalakkannan, S. (2022) Prediction of Job Satisfaction from the Employee Using Ensemble Method. In: 2022 International Conference on Advanced Computing Technologies and Applications (ICACTA), Coimbatore, India.

Revathy, M. and Kamalakkannan, S. and Kavitha, P. (2022) Machine Learning based Prediction of Dropout Students from the Education University using SMOTE. In: 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India.

Ahmed, G. Najeeb and Kamalakkannan, S. (2022) Micronutrient Classification in IoT Based Agriculture Using Machine Learning (ML) Algorithm. In: 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India.

Najeeb Ahmed, G. and Kamalakkannan, S. (2022) Developing an IoT-Based Data Analytics System for Predicting Soil Nutrient Degradation Level. In: Developing an IoT-Based Data Analytics System for Predicting Soil Nutrient Degradation Level. Springer, pp. 125-137.

Vijayarangam, J. and Kamalakkannan, S. and Smiles, J. Anita (2021) A Novel Comparison of Neural Network and Decision Tree as Classifiers using R. In: 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India.

Solomon Doss, J. Kingsleen and Kamalakkannan, S. (2021) IoT System Accomplishment using BlockChain in Validating and Data Security with Cloud. 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). pp. 60-64.

Yasmin, A. and Kamalakkannan, S. (2021) PACELC: Enchantment multi-dimension TensorFlow for value creation through Big Data. 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). pp. 520-526.

Yogeshwar, A. and Kamalakkannan, S. (2021) Healthcare Domain in IoT with Blockchain Based Security- A Researcher's Perspectives. 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS). pp. 1-9.

Senthilarasi, S. and Kamalakkannan, S. (2021) Implementation of Spatial-Temporal Road Traffic Data using Agglomerative Clustering. 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS). pp. 108-117.

Revathy, M. and Kamalakkannan, S. (2021) Collaborative learning for improving intellectual skills of dropout students using datamining techniques. 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS). pp. 236-240.

Senthilarasi, S. and Kamalakkannan, S. (2021) Unsupervised Deep Learning on Spatial-Temporal Traffic Data Using Agglomerative Clustering. In: Lecture Notes in Networks and Systems. Springer, pp. 757-776.