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ORCIDAnkit Vijayvargiya
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2020 – today
- 2024
[j8]Ashutosh Jena
, Naveen Gehlot, Rajesh Kumar, Ankit Vijayvargiya, Mahipal Bukya:
supDQN: Supervised Rewarding Strategy Driven Deep Q-Network for sEMG Signal Decontamination. IEEE Access 12: 74185-74196 (2024)- [j7]Naveen Gehlot, Ashutosh Jena, Ankit Vijayvargiya, Rajesh Kumar:
Surface electromyography based explainable Artificial Intelligence fusion framework for feature selection of hand gesture recognition. Eng. Appl. Artif. Intell. 137: 109119 (2024) - 2023
- [j6]Bharat Singh, Suchit Patel, Ankit Vijayvargiya, Rajesh Kumar:
Data-driven gait model for bipedal locomotion over continuous changing speeds and inclines. Auton. Robots 47(6): 753-769 (2023) - [j5]Bharat Singh, Suchit Patel, Ankit Vijayvargiya, Rajesh Kumar:
Universal activation function for data-driven gait model. Int. J. Model. Identif. Control. 42(4): 312-322 (2023) - [j4]Ankit Vijayvargiya, Bharat Singh, Nidhi Kumari, Rajesh Kumar:
sEMG-based deep learning framework for the automatic detection of knee abnormality. Signal Image Video Process. 17(4): 1087-1095 (2023) - [j3]Ankit Vijayvargiya, Rajesh Kumar, Parul Sharma:
PC-GNN: Pearson Correlation-Based Graph Neural Network for Recognition of Human Lower Limb Activity Using sEMG Signal. IEEE Trans. Hum. Mach. Syst. 53(6): 945-954 (2023) - 2022
- [j2]Ankit Vijayvargiya, Puneet Singh, Rajesh Kumar, Nilanjan Dey:
Hardware Implementation for Lower Limb Surface EMG Measurement and Analysis Using Explainable AI for Activity Recognition. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - 2021
- [j1]Ankit Vijayvargiya, Chandra Prakash, Rajesh Kumar, Sanjeev Bansal, João Manuel R. S. Tavares:
Human knee abnormality detection from imbalanced sEMG data. Biomed. Signal Process. Control. 66: 102406 (2021)
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