Publications

 2025

• [j50] S. Tammishetty, V. B. Semwal, Y. Pathak and D. Joshi, "Inverse Kinematic Solution Using Neural Networks for Multimodal Inputs and Optimization in Constrained Workspace," in IEEE Sensors Letters, vol. 9, no. 1, pp. 1-4, Jan. 2025. IF 3.0

• [j49] Pratibha Tokas, Vijay Bhaskar Semwal, Sweta Jain: Explainable Deep Learning Framework for Lower Limb Activity Classification Using Reconstructed sEMG Signals in Healthy and Pathological Subjects. Applied Soft Computing, Elsevier (2025). IF 6.6, SCI-Q1

• [j48]Tokas, Pratibha, Vijay Bhaskar Semwal, and Sweta Jain. "A Lightweight and Explainable Hybrid Deep Learning Model for Wearable Sensor-Based Human Activity Recognition." IEEE Sensors Journal (2025).

• [j47] Soni, Vaibhav, Himanshu Yadav, Vijay Bhaskar Semwal, and Sudhakar Tripathi. "Improving Human Activity Recognition in Smart Healthcare with Ensemble Deep Learning." IETE Journal of Research 71, no. 3 (2025): 894-908.

• [j46]Raj, A., Anjali, A., Singh, V. K., & Semwal, V. B. (2025). Mapping urban heat islands in Pune, India: ecological impacts and environmental challenges. Remote Sensing Letters, 16(6), 654-664. (2025).

• [j45]Reenu Rajpoot, Sweta Jain, Vijay Bhaskar Semwal: BioTransX: A novel bi-former based hybrid model with bi-level routing attention for brain tumor classification with explainable insights. Comput. Biol. Medicine 195: 110515 (2025).

• [j44] Pratibha Tokas, Vijay Bhaskar Semwal, Sweta Jain:A smartphone-based human activities recognition using novel multi-stream movelets on fusion of accelerometer and gyroscope data and classification using different distance metrics. Multim. Tools Appl. 84(25): 30259-30280 (2025)

• [j43] Reenu Rajpoot, Sweta Jain, Vijay Bhaskar Semwal, Deepankar Singh:Quantitative Assessment of XAI Methods for COVID-19 Detection: A Comparative Approach. SN Comput. Sci. 6(2) (2025)

• [i8] Satyam Mishra, Phung Thao Vi, Shivam Mishra, Vishwanath Bijalwan, Vijay Bhaskar Semwal, Abdul Manan Khan: SafeRL-Lite: A Lightweight, Explainable, and Constrained Reinforcement Learning Library. CoRR abs/2506.17297 (2025)

2024

• [j42]Vaibhav Soni, Himanshu Yadav, Sadhna Bijrothiya, Vijay Bhaskar Semwal: CABMNet: An adaptive two-stage deep learning network for optimized spatial and temporal analysis in fall detection. Biomed. Signal Process. Control. 96: 106506 (2024).

• [j41] Navita Kumari, Amulya Yadagani, Basudeba Behera, Vijay Bhaskar Semwal, Somya Mohanty: Human motion activity recognition and pattern analysis using compressed deep neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 12(1) (2024)

• [j40] Anjali Gupta, Vijay Bhaskar Semwal: Adaptive neural & fuzzy controller for exoskeleton gait pattern control based on musculoskeletal modeling. Multim. Tools Appl. 83(16): 49419-49439 (2024)

• [j39] Pratibha Tokas, Vijay Bhaskar Semwal, Sweta Jain: Deep ensemble learning approach for lower limb movement recognition from multichannel sEMG signals. Neural Comput. Appl. 36(13): 7373-7388 (2024)

• [j38] Abdul Manan Khan, Fatima Khan, Anshu Kumar Dwivedi, Vijay Bhaskar Semwal, Sheshikala Martha, Vishwanath Bijalwan: EEG-Based Motion Intention Detection for Robotic Rehabilitation: Evaluating Classification and Regression Algorithms. SN Comput. Sci. 5(8): 1057 (2024)

• [j37] Ram Kumar Yadav, A. Daniel, Vijay Bhaskar Semwal: Enhancing Human Activity Detection and Classification Using Fine Tuned Attention-Based Transformer Models. SN Comput. Sci. 5(8): 1142 (2024)

• [j36]Sravan Kumar Challa, Akhilesh Kumar, Vijay Bhaskar Semwal, Nidhi Dua:An optimized deep learning model for human activity recognition using inertial measurement units. Expert Syst. J. Knowl. Eng. 40(10) (2023).

• [j35] Nidhi Dua, Shiva Nand Singh, Vijay Bhaskar Semwal, Sravan Kumar Challa:Inception inspired CNN-GRU hybrid network for human activity recognition. Multim. Tools Appl. 82(4): 5369-5403 (2023) 

• [j34] Vijay Bhaskar Semwal, Rahul Jain, Pushkar Maheshwari, Saksham Khatwani:Gait reference trajectory generation at different walking speeds using LSTM and CNN. Multim. Tools Appl. 82(21): 33401-33419 (2023)

• [j33] Vishwanath Bijalwan, Vijay Bhaskar Semwal, Ghanapriya Singh, Tapan Kumar Mandal: HDL-PSR: Modelling Spatio-Temporal Features Using Hybrid Deep Learning Approach for Post-Stroke Rehabilitation. Neural Process. Lett. 55(1): 279-298 (2023)

• [j32] Manoj Kumar, Devendra Kumar, Vijay Bhaskar Semwal: A Novel Algorithm for Optimal Trajectory Generation Using Q Learning. SN Comput. Sci. 4(5): 447 (2023)

• [j31] Vijay Bhaskar Semwal, Yogesh Kumar Prajapat, Rahul Jain: Training a Multi-task Model for Classification and Grasp Detection of Surgical Tools Using Transfer Learning. SN Comput. Sci. 4(5): 582 (2023)

• [j30] Ram Kumar Yadav, Subhrendu Guha Neogi, Vijay Bhaskar Semwal: Human Activity Identification System for Video Database Using Deep Learning Technique. SN Comput. Sci. 4(5): 600 (2023) 

• [c9] Manoj Kumar Sain, Joyeeta Singha, Sandeep Saini, Vijay Bhaskar Semwal: Human Action Recognition Using ConvBiLSTM-GRU In Indoor Environment. GCAIoT 2023: 179-186 

• [c6] Vijay Bhaskar Semwal, Pratibha Tokas, Maske Nilesh, Nilay Khare: Dynamic Balancing of Bipedal Robot on Inclined Terrain using Polynomial Trajectories. ICGSP 2023: 72-77

2023

• [j29] V. B. Semwal et al., "Development of the LSTM Model and Universal Polynomial Equation for All the Sub-Phases of Human Gait," in IEEE Sensors Journal, vol. 23, no. 14, pp. 15892-15900, 15 July15, 2023 

2022

• [j28] R. Jain and V. B. Semwal, "A Novel Feature Extraction Method for Preimpact Fall Detection System Using Deep Learning and Wearable Sensors," in IEEE Sensors Journal, vol. 22, no. 23, pp. 22943-22951, 1 Dec.1, 2022 

• [j27] S. K. Challa, A. Kumar, V. B. Semwal and N. Dua, "An Optimized-LSTM and RGB-D Sensor-Based Human Gait Trajectory Generator for Bipedal Robot Walking," in IEEE Sensors Journal, vol. 22, no. 24, pp. 24352-24363, 15 Dec.15, 2022 

• [j26] Vijay Bhaskar Semwal, Neha Gaud, Praveen Lalwani, Vishwanath Bijalwan, Abhay Kumar Alok: Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor. Artif. Intell. Rev. 55(2):1149-1169 (2022) 

• [j25] Vishwanath Bijalwan, Vijay Bhaskar Semwal, Ghanapriya Singh, Rubén González Crespo: Heterogeneous computing model for post-injury walking pattern restoration and postural stability rehabilitation exercise recognition. Expert Syst. J. Knowl. Eng. 39(6) (2022)

• [j24] Rahul Jain, Vijay Bhaskar Semwal, Praveen Kaushik: Deep ensemble learning approach for lower extremity activities recognition using wearable sensors. Expert Syst. J. Knowl. Eng. 39(6) (2022) 

• [j23] Vishwanath Bijalwan, Vijay Bhaskar Semwal, Vishal Gupta: Wearable sensor-based pattern mining for human activity recognition: deep learning approach. Ind. Robot 49(1): 21-33 (2022) 

• [j22] Anjali Gupta, Vijay Bhaskar Semwal: Occluded Gait reconstruction in multi person Gait environment using different numerical methods. Multim. Tools Appl. 81(16): 23421-23448 (2022) 

• [j21] Rahul Jain, Vijay Bhaskar Semwal, Praveen Kaushik: Stride segmentation of inertial sensor data using statistical methods for different walking activities. Robotica 40(8): 2567-2580 (2022) 

• [j120] Sravan Kumar Challa, Akhilesh Kumar, Vijay Bhaskar Semwal: A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data. Vis. Comput. 38(12): 4095-4109 (2022)

2021

• [j19] V. Bijalwan, V. B. Semwal and T. K. Mandal, "Fusion of Multi-Sensor-Based Biomechanical Gait Analysis Using Vision and Wearable Sensor," in IEEE Sensors Journal, vol. 21, no. 13, pp. 14213-14220, 1 July1, 2021 

• [j18] Nidhi Dua, Shiva Nand Singh, Vijay Bhaskar Semwal: Multi-input CNN-GRU based human activity recognition using wearable sensors. Computing 103(7): 1461-1478 (2021)

• [j17] Vijay Bhaskar Semwal, Praveen Lalwani, Manas Kumar Mishra, Vishwanath Bijalwan, Jasroop Singh Chadha: An optimized feature selection using bio-geography optimization technique for human walking activities recognition. Computing 103(12): 2893-2914 (2021) 

• [j16] Vijay Bhaskar Semwal, Anjali Gupta, Praveen Lalwani: An optimized hybrid deep learning model using ensemble learning approach for human walking activities recognition. J. Supercomput. 77(11): 12256-12279 (2021) 

• [c5] Vijay Bhaskar Semwal, Meghana Reddy, Aditya Narad: Comparative Study of Inverse Kinematics Using Data Driven And FABRIK Approach. AIR 2021: 9:1-9:6 

• [c4] Vijay Bhaskar Semwal, Yash Gupta: Performance Analysis of Data-Driven Techniques for Solving Inverse Kinematics Problems. IntelliSys (1) 2021: 85-99 

• [i7] Vijay Bhaskar Semwal, Neha Gaud, Gora Chand Nandi: Human Gait State Prediction Using Cellular Automata and Classification Using ELM. CoRR abs/2105.03799 (2021)

2019 

• [j15] Manish Raj, Vijay Bhaskar Semwal, Gora Chand Nandi: Multiobjective optimized bipedal locomotion. Int. J. Mach. Learn. Cybern. 10(8): 1997-2013 (2019)

2018

• [j14] Manish Raj, Vijay Bhaskar Semwal, Gora Chand Nandi: Hybrid Model for Passive Locomotion Control of a Biped Humanoid: The Artificial Neural Network Approach. Int. J. Interact. Multim. Artif. Intell. 5(1): 40-46 (2018)

• [j13] Manish Raj, Vijay Bhaskar Semwal, Gora Chand Nandi: Bidirectional association of joint angle trajectories for humanoid locomotion: the restricted Boltzmann machine approach. Neural Comput. Appl. 30(6): 1747-1755 (2018)

• [j12] Vijay Bhaskar Semwal, Chandan Kumar, Piyush Kumar Mishra, Gora Chand Nandi: Design of Vector Field for Different Subphases of Gait and Regeneration of Gait Pattern. IEEE Trans Autom. Sci. Eng. 15(1): 104-110 (2018) 

• 2017

• [j11] Vijay Bhaskar Semwal, Joyeeta Singha, Pinki Kumari, Arun Chauhan, Basudeba Behera: An optimized feature selection technique based on incremental feature analysis for bio-metric gait data classification. Multim. Tools Appl. 76(22): 24457-24475 (2017)

• [j10] Vijay Bhaskar Semwal, Kaushik Mondal, Gora Chand Nandi: Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach. Neural Comput. Appl. 28(3): 565-574 (2017)

• [j8] Vijay Bhaskar Semwal, Kaushik Mondal, Gora Chand Nandi: Erratum to: Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach. Neural Comput. Appl. 28(7): 1907 (2017) 

• [c3] John Anzola, Andrés Jiménez, Jordán Pascual Espada, Vijay Bhaskar Semwal, Vishwanath Bijalwan: Analysis of TCP streaming over VANETs. RICE 2017: 39-43

• [c2] Sachin Kumar, Vijay Bhaskar Semwal, Vijender Kumar Solanki, Prayag Tiwari, Denis Kalitin: A Conjoint Analysis of Road Accident Data using K-modes Clustering and Bayesian Networks (Road Accident Analysis using clustering and classification). RICE 2017: 53-56

• [c1] Daniel Meana-Llorián, Cristian González García, Jordán Pascual Espada, Manju Khari, Vijay Bhaskar Semwal: Bilrost: Connecting the Internet of Things through human Social Networks with a Domain-Specific Language. RICE 2017: 57-61

• [e1] Vijender Kumar Solanki, Vijay Bhaskar Semwal, Rubén González Crespo, Vishwanath Bijalwan: Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering, RICE 2017, Gopeshwar, Uttrakhand, India, March 24-26, 2017. Annals of Computer Science and Information Systems 10, 2017, ISBN 978-83-65750-05-1 [contents]

• [i6] Vijay Bhaskar Semwal: Data Driven Computational Model for Bipedal Walking and Push Recovery. CoRR abs/1710.06548 (2017)

2015

• [j9] V. B. Semwal and G. C. Nandi, "Generation of Joint Trajectories Using Hybrid Automate-Based Model: A Rocking Block-Based Approach," in IEEE Sensors Journal, vol. 16, no. 14, pp. 5805-5816, July15, 2016 

2015

• [j8] V. B. Semwal and G. C. Nandi, "Toward Developing a Computational Model for Bipedal Push Recovery–A Brief," in IEEE Sensors Journal, vol. 15, no. 4, pp. 2021-2022, April 2015, 

• [j7] Vijay Bhaskar Semwal, Pavan Chakraborty, Gora Chand Nandi: Less computationally intensive fuzzy logic (type-1)-based controller for humanoid push recovery. Robotics Auton. Syst. 63: 122-135 (2015)

• [j6] Vijay Bhaskar Semwal, Manish Raj, Gora Chand Nandi:Biometric gait identification based on a multilayer perceptron. Robotics Auton. Syst. 65: 65-75 (2015)

• [j5] Vijay Bhaskar Semwal, Shiv A. Katiyar, Rupak Chakraborty, Gora Chand Nandi: Biologically-inspired push recovery capable bipedal locomotion modeling through hybrid automata. Robotics Auton. Syst. 70: 181-190 (2015)

2014

• [j4] Meenakshi Sati, Vivek Vikash, Vishwanath Bijalwan, Pinki Kumari, Manish Raj, Meenu Balodhi, Priya Gairola, Vijay Bhaskar Semwal: A Fault-Tolerant Mobile Computing Model Based On Scalable Replica. Int. J. Interact. Multim. Artif. Intell. 2(6): 58-68 (2014)

• [j3] Jay Prakash Gupta, Pushkar Dixit, Vijay Bhaskar Semwal: Analysis of Gait Pattern to Recognize the Human Activities. Int. J. Interact. Multim. Artif. Intell. 2(7): 7-16 (2014)

• [i5] Vijay Bhaskar Semwal, Shiv A. Katiyar, Pavan Chakraborty, Gora Chand Nandi: Bipedal Model Based on Human Gait Pattern Parameters Bipedal Model Based on Human Gait Pattern Parameters for Sagittal Plane Movement. CoRR abs/1405.4362 (2014)

•  [i4] Vijay Bhaskar Semwal, Gora Chand Nandi: Study of Humanoid Push Recovery Based on Experiments. CoRR abs/1405.4450 (2014) 

• [i3] Vishwanath Bijalwan, Pinki Kumari, Jordán Pascual Espada, Vijay Bhaskar Semwal: Machine learning approach for text and document mining. CoRR abs/1406.1580 (2014)

2013 

• [j2] Jay Prakash Gupta, Nishant Singh, Pushkar Dixit, Vijay Bhaskar Semwal, Shiv Ram Dubey: Human Activity Recognition Using Gait Pattern. Int. J. Comput. Vis. Image Process. 3(3): 31-53 (2013)  

2011

• [j1] Vijay Bhaskar Semwal, Vinay Bhaskar Semwal, Meenakshi Sati, Shirshu Verma: Accurate location estimation of moving object In Wireless Sensor network. Int. J. Interact. Multim. Artif. Intell. 1(4): 71-75 (2011)

• [i2] Vijay Bhaskar Semwal, K. Susheel Kumar, Vinay S. Bhaskar, Meenakshi Sati:Accurate location estimation of moving object with energy constraint & adaptive update algorithms to save data. CoRR abs/1108.1321 (2011)

• [i1] K. Susheel Kumar, Vijay Bhaskar Semwal, Ramesh Chandra Tripathi: Real time face recognition using adaboost improved fast PCA algorithm. CoRR abs/1108.1353 (2011)

Patent/ Authored Book/ Conference proceedings :