Adaptive deep Q-learning model for detecting social bots and influential users in online social networks G Lingam, RR Rout, DVLN Somayajulu Applied Intelligence 49 (11), 3947-3964, 2019 | 73 | 2019 |
Detection of malicious social bots using learning automata with url features in twitter network RR Rout, G Lingam, DVLN Somayajulu IEEE Transactions on Computational Social Systems 7 (4), 1004-1018, 2020 | 65 | 2020 |
Fuzzy logic-based emergency vehicle routing: An IoT system development for smart city applications RR Rout, S Vemireddy, SK Raul, DVLN Somayajulu Computers & Electrical Engineering 88, 106839, 2020 | 62 | 2020 |
A community driven social recommendation system D Lalwani, DVLN Somayajulu, PR Krishna 2015 IEEE International conference on big data (big data), 821-826, 2015 | 56 | 2015 |
Social botnet community detection: a novel approach based on behavioral similarity in twitter network using deep learning G Lingam, RR Rout, DVLN Somayajulu, SK Das Proceedings of the 15th ACM Asia conference on computer and communications …, 2020 | 42 | 2020 |
Exact multiple pattern matching algorithm using DNA sequence and pattern pair R Bhukya, D Somayajulu International Journal of Computer Applications 17 (8), 32-38, 2011 | 34 | 2011 |
Particle swarm optimization on deep reinforcement learning for detecting social spam bots and spam-influential users in twitter network G Lingam, RR Rout, DVLN Somayajulu, SK Ghosh IEEE Systems Journal 15 (2), 2281-2292, 2020 | 30 | 2020 |
Detection of social botnet using a trust model based on spam content in Twitter network G Lingam, RR Rout, DVLN Somayajulu 2018 IEEE 13th International Conference on Industrial and Information …, 2018 | 30 | 2018 |
Contact duration-aware cooperative cache placement using genetic algorithm for mobile edge networks MK Somesula, RR Rout, DVLN Somayajulu Computer Networks 193, 108062, 2021 | 28 | 2021 |
Learning automata-based trust model for user recommendations in online social networks G Lingam, RR Rout, DVLN Somayajulu Computers & Electrical Engineering 66, 174-188, 2018 | 26 | 2018 |
Memory-based approaches for eliminating premature convergence in particle swarm optimization K Chaitanya, DVLN Somayajulu, PR Krishna Applied Intelligence 51, 4575-4608, 2021 | 25 | 2021 |
Cooperative cache update using multi-agent recurrent deep reinforcement learning for mobile edge networks MK Somesula, RR Rout, DVLN Somayajulu Computer Networks 209, 108876, 2022 | 22 | 2022 |
Impact of data correlation on privacy budget allocation in continuous publication of location statistics D Hemkumar, S Ravichandra, DVLN Somayajulu Peer-to-Peer Networking and Applications 14, 1650-1665, 2021 | 22 | 2021 |
Deep Q-learning and particle swarm optimization for bot detection in online social networks G Lingam, RR Rout, DVLN Somayajulu 2019 10th International Conference on Computing, Communication and …, 2019 | 21 | 2019 |
Greedy cooperative cache placement for mobile edge networks with user preferences prediction and adaptive clustering MK Somesula, RR Rout, DVLN Somayajulu Ad Hoc Networks 140, 103051, 2023 | 17 | 2023 |
Improving code-mixed POS tagging using code-mixed embeddings SN Bhattu, SK Nunna, DVLN Somayajulu, B Pradhan ACM Transactions on Asian and Low-Resource Language Information Processing …, 2020 | 17 | 2020 |
Deadline-aware caching using echo state network integrated fuzzy logic for mobile edge networks MK Somesula, RR Rout, DVLN Somayajulu Wireless Networks 27 (4), 2409-2429, 2021 | 14 | 2021 |
Semi-supervised Learning of Naive Bayes Classifier with feature constraints NB Sristy, D Somayajulu Proceedings of the First International Workshop on Optimization Techniques …, 2012 | 14 | 2012 |
Impact of prior knowledge on privacy leakage in trajectory data publishing D Hemkumar, S Ravichandra, D Somayajulu Engineering Science and Technology, an International Journal 23 (6), 1291-1300, 2020 | 13 | 2020 |
MSP: multiple sub-graph query processing using structure-based graph partitioning strategy and map-reduce S Fathimabi, RBV Subramanyam, DVLN Somayajulu Journal of King Saud University-Computer and Information Sciences 31 (1), 22-34, 2019 | 12 | 2019 |