IoT sensor data integration in healthcare using semantics and machine learning approaches S Balakrishna, M Thirumaran, VK Solanki A handbook of internet of things in biomedical and cyber physical system …, 2020 | 47 | 2020 |
A survey on semantic approaches for IoT data integration in smart cities S Balakrishna, VK Solanki, VK Gunjan, M Thirumaran ICICCT 2019–System Reliability, Quality Control, Safety, Maintenance and …, 2020 | 34 | 2020 |
Semantic interoperable traffic management framework for IoT smart city applications S Balakrishna, M Thirumaran EAI Endorsed Transactions on Internet of Things 4 (13), e4-e4, 2018 | 30 | 2018 |
A framework for IoT sensor data acquisition and analysis S Balakrishna, M Thirumaran, VK Solanki EAI Endorsed Transactions on Internet of Things 4 (16), e4-e4, 2018 | 23 | 2018 |
An efficient incremental clustering based improved K-Medoids for IoT multivariate data cluster analysis S Balakrishna, M Thirumaran, R Padmanaban, VK Solanki Peer-to-Peer Networking and Applications 13 (4), 1152-1175, 2020 | 22 | 2020 |
Semantic interoperability in IoT and big data for health care: a collaborative approach S Balakrishna, M Thirumaran Handbook of data science approaches for biomedical engineering, 185-220, 2020 | 22 | 2020 |
Performance analysis of linked stream big data processing mechanisms for unifying IoT smart data S Balakrishna, VK Solanki, VK Gunjan, M Thirumaran ICICCT 2019–System Reliability, Quality Control, Safety, Maintenance and …, 2020 | 21 | 2020 |
Incremental hierarchical clustering driven automatic annotations for unifying IoT streaming data S Balakrishna, M Thirumaran, E Núñez-Valdez, VK Solanki International Journal of Interactive Multimedia and Artificial Intelligence …, 2020 | 19* | 2020 |
Semantics and clustering techniques for IoT sensor data analysis: A comprehensive survey S Balakrishna, M Thirumaran Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm, 103-125, 2020 | 13 | 2020 |
Towards an optimized semantic interoperability framework for IoT-based smart home applications S Balakrishna, M Thirumaran Internet of Things and Big Data Analytics for Smart Generation, 185-211, 2019 | 13 | 2019 |
Programming paradigms for IoT applications: an exploratory study S Balakrishna, M Thirumaran Handbook of IoT and Big Data, 23-57, 2019 | 11 | 2019 |
Comparative analysis on deep neural network models for detection of cyberbullying on Social Media S Balakrishna, Y Gopi, VK Solanki Ingeniería Solidaria 18 (1), 1-33, 2022 | 7 | 2022 |
Machine Learning based Improved Gaussian Mixture Model for IoT Real-Time: Data Analysis S Balakrishna, M Thirumaran, V Solanki Ingeniería Solidaria 16 (1), 1-30, 2020 | 7 | 2020 |
Survey on machine learning-based clustering algorithms for iot data cluster analysis S Balakrishna, VK Solanki, R Kumar, M Thirumaran Intelligent Computing in Engineering: Select Proceedings of RICE 2019, 1195-1204, 2020 | 7 | 2020 |
Multi objective-based incremental clustering by fast search technique for dynamically creating and updating clusters in large data S Balakrishna Cluster Computing 25 (1), 1441–1457, 2022 | 6 | 2022 |
Progress in multi-object detection models: a comprehensive survey S Balakrishna, AA Mustapha Multimedia Tools and Applications 82 (15), 22405-22439, 2022 | 4 | 2022 |
Comparative Analysis of Machine Learning-Based Algorithms for Detection of Anomalies in IIoT Bhupal Naik DS, Venkatesulu Dondeti, Sivadi Balakrishna International Journal of Information Retrieval Research (IJIRR) 12 (1), 55, 2022 | 4* | 2022 |
A RESTful CoAP protocol for internet of things S Balakrishna, M Thirumaran Proceedings of 7th International Conference on Informatics Computing in …, 2018 | 4 | 2018 |
D-ACSM: a technique for dynamically assigning and adjusting cluster patterns for IoT data analysis S Balakrishna The Journal of Supercomputing 70 (10), 12873–12897, 2022 | 2 | 2022 |
Machine Learning based Improved GMM Mechanism for IoT Real-Time Dynamic Data Analysis S Balakrishna, M Thirumaran, VK Solanki Journal of Revista Ingeniería Solidaria 16 (30), 1-29, 2020 | 2* | 2020 |