| Multilayer perceptron and neural networks MC Popescu, VE Balas, L Perescu-Popescu, N Mastorakis WSEAS Transactions on Circuits and Systems 8 (7), 579-588, 2009 | 765 | 2009 |
| Particle swarm optimization trained neural network for structural failure prediction of multistoried RC buildings S Chatterjee, S Sarkar, S Hore, N Dey, AS Ashour, VE Balas Neural Computing and Applications 28, 2005-2016, 2017 | 376 | 2017 |
| Design of a proportional-integral-derivative controller for an automatic generation control of multi-area power thermal systems using firefly algorithm K Jagatheesan, B Anand, S Samanta, N Dey, AS Ashour, VE Balas IEEE/CAA Journal of Automatica Sinica 6 (2), 503-515, 2017 | 192 | 2017 |
| Estimating heating load in buildings using multivariate adaptive regression splines, extreme learning machine, a hybrid model of MARS and ELM SS Roy, R Roy, VE Balas Renewable and Sustainable Energy Reviews 82, 4256-4268, 2018 | 146 | 2018 |
| Stealing neural networks via timing side channels V Duddu, D Samanta, DV Rao, VE Balas arXiv preprint arXiv:1812.11720, 2018 | 144 | 2018 |
| Application of flower pollination algorithm in load frequency control of multi-area interconnected power system with nonlinearity K Jagatheesan, B Anand, S Samanta, N Dey, V Santhi, AS Ashour, ... Neural Computing and Applications 28, 475-488, 2017 | 133 | 2017 |
| Visual analysis of geospatial habitat suitability model based on inverse distance weighting with paired comparison analysis R Varatharajan, G Manogaran, MK Priyan, VE Balaş, C Barna Multimedia tools and applications 77, 17573-17593, 2018 | 121 | 2018 |
| Adaptive fuzzy sliding mode control for synchronization of uncertain fractional order chaotic systems TC Lin, TY Lee, VE Balas Chaos, Solitons & Fractals 44 (10), 791-801, 2011 | 115 | 2011 |
| A new clustering protocol for energy harvesting-wireless sensor networks SM Bozorgi, AS Rostami, AAR Hosseinabadi, VE Balas Computers & Electrical Engineering 64, 233-247, 2017 | 111 | 2017 |
| Indian sign language recognition using optimized neural networks S Hore, S Chatterjee, V Santhi, N Dey, AS Ashour, VE Balas, F Shi Information Technology and Intelligent Transportation Systems: Volume 2 …, 2017 | 101 | 2017 |
| Bio-inspired neurocomputing AK Bhoi, PK Mallick, CM Liu, VE Balas Springer, 2021 | 100 | 2021 |
| Effect of fuzzy partitioning in Crohn’s disease classification: a neuro-fuzzy-based approach SS Ahmed, N Dey, AS Ashour, D Sifaki-Pistolla, D Bălas-Timar, VE Balas, ... Medical & biological engineering & computing 55, 101-115, 2017 | 98 | 2017 |
| Handbook of neural computation P Samui, SS Roy, VE Balas Academic Press, 2017 | 96 | 2017 |
| Driver assisting by inverse time to collision VE Balas, MM Balas 2006 World Automation Congress, 1-6, 2006 | 96 | 2006 |
| Motion Prediction for Autonomous Vehicles from Lyft Dataset using Deep Learning S Mandal, S Biswas, VE Balas, RN Shaw, A Ghosh 2020 IEEE 5th International Conference on Computing Communication and …, 2020 | 91 | 2020 |
| Secure VANETs: trusted communication scheme between vehicles and infrastructure based on fog computing M Arif, G Wang, VE Balas Stud. Inform. Control 27 (2), 235-246, 2018 | 85 | 2018 |
| Rule-based back propagation neural networks for various precision rough set presented KANSEI knowledge prediction: a case study on shoe product form features extraction Z Li, K Shi, N Dey, AS Ashour, D Wang, VE Balas, P McCauley, F Shi Neural Computing and Applications 28, 613-630, 2017 | 82 | 2017 |
| Recent trends and advances in artificial intelligence and internet of things VE Balas, R Kumar, R Srivastava Springer International Publishing, 2020 | 81 | 2020 |
| Data management, analytics and innovation N Sharma, A Chakrabarti, VE Balas Proceedings of ICDMAI 1, 2019 | 81 | 2019 |
| Handbook of deep learning applications VE Balas, SS Roy, D Sharma, P Samui Springer, 2019 | 80 | 2019 |
