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Apoorva Parashar
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2020 – today
- 2024
- [j7]Anubha Parashar
, Apoorva Parashar, Imad Rida
Journey into gait biometrics: Integrating deep learning for enhanced pattern recognition. Digit. Signal Process. 147: 104393 (2024) - [j6]Anubha Parashar
Advancements in artificial intelligence for biometrics: A deep dive into model-based gait recognition techniques. Eng. Appl. Artif. Intell. 130: 107712 (2024) - 2023
- [j5]Anubha Parashar, Apoorva Parashar, Weiping Ding, Rajveer Singh Shekhawat, Imad Rida
Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review. Artif. Intell. Rev. 56(8): 8889-8953 (2023) - [j4]Anubha Parashar, Apoorva Parashar, Andrea F. Abate, Rajveer Singh Shekhawat, Imad Rida
Real-time gait biometrics for surveillance applications: A review. Image Vis. Comput. 138: 104784 (2023) - [j3]Anubha Parashar
Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches. Pattern Recognit. Lett. 172: 65-73 (2023) - 2022
- [j2]Anubha Parashar
A robust covariate-invariant gait recognition based on pose features. IET Biom. 11(6): 601-613 (2022) - [c4]Anubha Parashar, Imad Rida
Protecting the Privacy of Face by De-Identification Pipeline Based on Deep Learning. SITIS 2022: 409-416 - 2021
- [c3]Apoorva Parashar, Rahul Rishi:
Early Detection of Rheumatoid Arthritis in Knee using Deep Learning. DSMLAI 2021: 231-236
2010 – 2019
- 2017
- [c2]Anubha Parashar
Identification of gait data using machine learning technique to categories human locomotion. SIN 2017: 229-234 - 2016
- [j1]Anubha Parashar, Apoorva Parashar, Somya Goyal:
Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean. Int. J. Interact. Multim. Artif. Intell. 4(2): 29-34 (2016) - [c1]Anubha Parashar
Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean. ICTCS 2016: 1:1-1:6
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