| Multi-input CNN-GRU based human activity recognition using wearable sensors N Dua, SN Singh, VB Semwal Computing 103 (7), 1461-1478, 2021 | 290 | 2021 |
| A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data SK Challa, A Kumar, VB Semwal The Visual Computer 38 (12), 4095-4109, 2022 | 207 | 2022 |
| Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach VB Semwal, K Mondal, GC Nandi Neural Computing and Applications 28, 565-574, 2017 | 157 | 2017 |
| Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor VB Semwal, N Gaud, P Lalwani, V Bijalwan, AK Alok Artificial Intelligence Review 55 (2), 1149-1169, 2022 | 130 | 2022 |
| Biometric gait identification based on a multilayer perceptron VB Semwal, M Raj, GC Nandi Robotics and Autonomous Systems 65, 65-75, 2015 | 121 | 2015 |
| An optimized feature selection technique based on incremental feature analysis for bio-metric gait data classification VB Semwal, J Singha, PK Sharma, A Chauhan, B Behera Multimedia tools and applications 76, 24457-24475, 2017 | 119 | 2017 |
| An optimized hybrid deep learning model using ensemble learning approach for human walking activities recognition VB Semwal, A Gupta, P Lalwani The Journal of Supercomputing 77 (11), 12256-12279, 2021 | 101 | 2021 |
| Real time face recognition using adaboost improved fast PCA algorithm KS Kumar, VB Semwal, RC Tripathi arXiv preprint arXiv:1108.1353, 2011 | 92 | 2011 |
| Fusion of multi-sensor-based biomechanical gait analysis using vision and wearable sensor V Bijalwan, VB Semwal, TK Mandal IEEE Sensors Journal 21 (13), 14213-14220, 2021 | 91 | 2021 |
| Clinical human gait classification: extreme learning machine approach P Patil, KS Kumar, N Gaud, VB Semwal 2019 1st international conference on advances in science, engineering and …, 2019 | 91 | 2019 |
| Human activity recognition using gait pattern JP Gupta, N Singh, P Dixit, VB Semwal, SR Dubey International Journal of Computer Vision and Image Processing (IJCVIP) 3 (3 …, 2013 | 78 | 2013 |
| Deep ensemble learning approach for lower extremity activities recognition using wearable sensors R Jain, VB Semwal, P Kaushik Expert System, 2021 | 77 | 2021 |
| Human gait state prediction using cellular automata and classification using ELM VB Semwal, N Gaud, GC Nandi Machine intelligence and signal analysis, 135-145, 2019 | 76 | 2019 |
| Less computationally intensive fuzzy logic (type-1)-based controller for humanoid push recovery VB Semwal, P Chakraborty, GC Nandi Robotics and Autonomous Systems 63, 122-135, 2015 | 76 | 2015 |
| Inception inspired CNN-GRU hybrid network for human activity recognition N Dua, SN Singh, VB Semwal, SK Challa Multimedia Tools and Applications 82 (4), 5369-5403, 2023 | 71 | 2023 |
| Biologically-inspired push recovery capable bipedal locomotion modeling through hybrid automata VB Semwal, SA Katiyar, R Chakraborty, GC Nandi Robotics and Autonomous Systems 70, 181-190, 2015 | 68 | 2015 |
| Generation of joint trajectories using hybrid automate-based model: a rocking block-based approach VB Semwal, GC Nandi IEEE Sensors Journal 16 (14), 5805-5816, 2016 | 67 | 2016 |
| Wearable sensor-based pattern mining for human activity recognition: Deep learning approach V Bijalwan, VB Semwal, V Gupta Industrial Robot: the international journal of robotics research and …, 2022 | 65 | 2022 |
| Advanced automated module for smart and secure city VK Solanki, S Katiyar, V BhashkarSemwal, P Dewan, M Venkatasen, ... Procedia Computer Science 78, 367-374, 2016 | 62 | 2016 |
| Toward developing a computational model for bipedal push recovery–a brief VB Semwal, GC Nandi IEEE Sensors Journal 15 (4), 2021-2022, 2015 | 61 | 2015 |
G C NandiProfessor, Head of the Center of Intelligent Robotics and Advisor(QAA), IIIT-A在 iiita.ac.in 的电子邮件经过验证
