| Automated tomato leaf disease classification using transfer learning-based deep convolution neural network R Thangaraj, S Anandamurugan, VK Kaliappan Journal of Plant Diseases and Protection 128 (1), 73-86, 2021 | 144 | 2021 |
| Artificial intelligence in tomato leaf disease detection: a comprehensive review and discussion R Thangaraj, S Anandamurugan, P Pandiyan, VK Kaliappan Journal of Plant Diseases and Protection 129 (3), 469-488, 2022 | 71 | 2022 |
| Challenges and Applications of Wireless Sensor Networks in Smart Farming—A Survey TR Dr.S.Anandamurugan Advances in Big Data and Cloud Computing 750, 353-361, 2018 | 63* | 2018 |
| Data aggregation in wireless sensor network using shuffled frog algorithm T Abirami, S Anandamurugan Wireless Personal Communications 90, 537-549, 2016 | 26 | 2016 |
| Antipredator Adaptation Shuffled Frog Leap Algorithm to Improve Network Life Time in Wireless Sensor Network DTA Dr.S.Anandamurugan Wireless Personal Communications 88 (2), 1-12, 2017 | 22 | 2017 |
| Advances in big data and cloud computing T Rajasekaran, S Anandamurugan, J Peter Challenges and Applications of Wireless Sensor Networks in Smart Farming—A …, 2019 | 11 | 2019 |
| Increasing the lifetime of wireless sensor networks by using AR (aggregation routing) algorithm S Anandamurugan, C Venkatesh IJCA Special Issue on “Mobile Ad-hoc Networks” MANETs, 180-186, 2010 | 10 | 2010 |
| Real-time face mask position recognition system using YOLO models for preventing COVID-19 disease spread in public places VK Kaliappan, R Thangaraj, P Pandiyan, K Mohanasundaram, ... International Journal of Ad Hoc and Ubiquitous Computing 42 (2), 73-82, 2023 | 9 | 2023 |
| Wireless Sensor Networks- Research Monograph, University Science Press S Anandamurugan | 9* | 2010 |
| Power saving method for target tracking sensor networks to improve the lifetime S Anandamurugan, C Venkatesh International Journal of Recent Trends in Engineering 1 (1), 594, 2009 | 9 | 2009 |
| Automated tomato leaf disease classification using transfer learning-based deep convolution neural network. J Plant Dis Prot 128: 73–86 R Thangaraj, S Anandamurugan, VK Kaliappan | 8 | 2021 |
| Advancement in precision medicine and recommendation system for clinical trials using deep learning methods AP Ponselvakumar, S Anandamurugan, K Logeswaran, S Nivashini, ... IOP conference series: materials science and engineering 1055 (1), 012110, 2021 | 7 | 2021 |
| A deep convolution neural network model based on feature concatenation approach for classification of tomato leaf disease R Thangaraj, P Pandiyan, S Anandamurugan, S Rajendar Multimedia Tools and Applications 83 (7), 18803-18827, 2024 | 5 | 2024 |
| Enhanced approaches in decision support system using ai for achieving precision medicine AP Pon Selva Kumar, S Anandamurugan, K Logeswaran Int. J. Sci. Technol. Res 9, 1659-1662, 2020 | 5 | 2020 |
| Service Oriented Architecture S Anandamurugan, P Thavasimani Nova Science Publishers, 2015 | 5 | 2015 |
| Particle swarm optimization method combined with off policy reinforcement learning algorithm for the discovery of high utility itemset K Logeswaran, P Suresh, S Anandamurugan Information Technology and Control 52 (1), 25-36, 2023 | 4 | 2023 |
| Light Weight Security Attack in Mobile Ad Hoc Network (MANET) H S.Anandamurugan International Journal of computer Sciences and Engineering 2 (8), 56-61, 2014 | 4* | 2014 |
| Mobility aware reputation node ranking (MARNR) for efficient clustering at hot spots in wireless sensor networks (WSN) PJ Balaji, S Anandamurugan 2013 international conference on information communication and embedded …, 2013 | 4 | 2013 |
| Reducing Power Consumption in Wireless Sensor Networks by using Terrain Based Probabilistic Forwarding Scheme (TBPFS). S Anandamurugan, C Venkatesh Computer Science & Telecommunications 27 (4), 2010 | 4 | 2010 |
| Power Saving Scheme(PSS) in Clusters of Heterogeneous Wireless Sensor Networks S Anandamurugan, C Venkatesh International Journal on Computer Science and Engineering 2 (6), 2010, 1966 | 4 | 1966 |
Vishnu Kumar kaliappanProfessor of Computer Science and Engineering, KPR Institute of Engineering and Technology在 kpriet.ac.in 的电子邮件经过验证
