IoT-Blockchain driven traceability techniques for improved safety measures in food supply chain S Balamurugan, A Ayyasamy, KS Joseph International Journal of Information Technology, 1-12, 2021 | 66 | 2021 |
Internet of agriculture: Applying IoT to improve food and farming technology S Balamurugan, N Divyabharathi, K Jayashruthi, M Bowiya, RP Shermy, ... International Research Journal of Engineering and Technology (IRJET) 3 (10 …, 2016 | 59 | 2016 |
Multi Filtration Feature Selection (MFFS) to improve discriminatory ability in clinical data set S Sasikala, S Balamurugan, S Geetha Applied Computing and Informatics 12 (2), 117-127, 2016 | 45 | 2016 |
Smart power monitoring and control system through internet of things using cloud data storage P Sindhuja, S Balamurugan Indian Journal of Science and Technology 8 (19), 1, 2015 | 44 | 2015 |
A novel feature selection technique for improved survivability diagnosis of breast cancer S Sasikala, S Balamurugan, S Geetha Procedia Computer Science 50, 16-23, 2015 | 37 | 2015 |
Modern security threats in the Internet of Things (IoT): Attacks and Countermeasures G Rajendran, RSR Nivash, PP Parthy, S Balamurugan 2019 International Carnahan Conference on Security Technology (ICCST), 1-6, 2019 | 36 | 2019 |
Small and large signal modeling of heavy duty gas turbine plant for load frequency control S Balamurugan, N Janarthanan, KRMV Chandrakala International Journal of Electrical Power & Energy Systems 79, 84-88, 2016 | 36 | 2016 |
An efficient text classification using knn and naive bayesian J Sreemathy, S Balamurugan International Journal on Computer Science and Engineering 4 (3), 392, 2012 | 36 | 2012 |
Multi-fuzzy group and its level subgroups R Muthuraj, S Balamurugan Gen 17 (1), 74-81, 2013 | 35 | 2013 |
A new dynamic control strategy for power transmission congestion management using series compensation N Kirthika, S Balamurugan International Journal of Electrical Power & Energy Systems 77, 271-279, 2016 | 34 | 2016 |
Coronaviruses–Potential human threat from foodborne transmission? H Thippareddi, S Balamurugan, J Patel, M Singh, J Brassard Lwt 134, 110147, 2020 | 33 | 2020 |
Effective and efficient feature selection for large-scale data using Bayes’ theorem S Balamurugan, R Rajaram International Journal of Automation and Computing 6 (1), 62, 2009 | 32 | 2009 |
Association rule mining for suspicious email detection: a data mining approach S Balamurugan, M Pandian, R Rajaram 2007 IEEE Intelligence and Security Informatics, 316-323, 2007 | 32 | 2007 |
Review on non-isolated multi-input step-up converters for grid-independent hybrid electric vehicles S Bairabathina, S Balamurugan International journal of hydrogen energy 45 (41), 21687-21713, 2020 | 31 | 2020 |
Control of heavy-duty gas turbine plants for parallel operation using soft computing techniques S Balamurugan, R Xavier, Jeyakumar Electric Power Components and Systems 37 (11), 1275-1287, 2009 | 31 | 2009 |
A novel feature selection framework for automatic web page classification JA Mangai, VS Kumar, S Balamurugan International Journal of Automation and Computing 9 (4), 442-448, 2012 | 29 | 2012 |
Review on feature selection techniques and its impact for effective data classification using UCI machine learning repository dataset B Amarnath, S Balamurugan, A Alias Journal of Engineering Science and Technology 11 (11), 1639-1646, 2016 | 28 | 2016 |
NB+: an improved naive Bayesian algorithm S Balamurugan, R Rajaram, S Pramala, S Rajalakshmi, C Jeyendran, ... Knowledge-Based Systems 24 (5), 563-569, 2011 | 28 | 2011 |
Data mining based intelligent analysis of threatening e-mail S Balamurugan, R Rajaram, M Muthupandian, G Athiappan, ... Knowledge-Based Systems 22 (5), 392-393, 2009 | 28* | 2009 |
Fuzzy sliding-mode control with low pass filter to reduce chattering effect: an experimental validation on Quanser SRIP S Balamurugan, P Venkatesh, M Varatharajan Sādhanā 42, 1693-1703, 2017 | 27 | 2017 |