Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean. - Anubha Parashar; Apoorva Parashar; Somya Goyal; Bharat Sahjalan (ICTCS, 2016)

Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean. - Anubha Parashar; Apoorva Parashar; Somya Goyal (Int. J. Interact. Multim. Artif. Intell., 2016)

Identification of gait data using machine learning technique to categories human locomotion. - Anubha Parashar; Apoorva Parashar; Somya Goyal (SIN, 2017)

Early Detection of Rheumatoid Arthritis in Knee using Deep Learning. - Apoorva Parashar; Rahul Rishi (DSMLAI, 2021)

Protecting the Privacy of Face by De-Identification Pipeline Based on Deep Learning. - Anubha Parashar; Imad Rida; Apoorva Parashar; Vidyadhar Jinnappa Aski (SITIS, 2022)

A robust covariate-invariant gait recognition based on pose features. - Anubha Parashar; Apoorva Parashar; Rajveer Singh Shekhawat (IET Biom., 2022)

Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review. - Anubha Parashar; Apoorva Parashar; Weiping Ding 001; Rajveer Singh Shekhawat; Imad Rida (Artif. Intell. Rev., 2023)

Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches. - Anubha Parashar; Apoorva Parashar; Weiping Ding 001; Mohammad Shabaz; Imad Rida (Pattern Recognit. Lett., 2023)

Real-time gait biometrics for surveillance applications: A review. - Anubha Parashar; Apoorva Parashar; Andrea F. Abate; Rajveer Singh Shekhawat; Imad Rida (Image Vis. Comput., 2023)

Journey into gait biometrics: Integrating deep learning for enhanced pattern recognition. - Anubha Parashar; Apoorva Parashar; Imad Rida (Digit. Signal Process., 2024)

Advancements in artificial intelligence for biometrics: A deep dive into model-based gait recognition techniques. - Anubha Parashar; Apoorva Parashar; Mohammad Shabaz; Deepak Gupta; Aditya Kumar Sahu; Muhammad Attique Khan (Eng. Appl. Artif. Intell., 2024)