Apoorva Parashar

According to our database, Apoorva Parashar authored at least 9 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., October, 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, Mohammad Shabaz, Imad Rida

Pattern Recognit. Lett., August, 2023

Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review.

Anubha Parashar, Apoorva Parashar, Weiping Ding, Rajveer Singh Shekhawat, Imad Rida

Artif. Intell. Rev., 2023

2022

A robust covariate-invariant gait recognition based on pose features.

Anubha Parashar, Apoorva Parashar, Rajveer Singh Shekhawat

IET Biom., November, 2022

Protecting the Privacy of Face by De-Identification Pipeline Based on Deep Learning.

Anubha Parashar, Imad Rida, Apoorva Parashar, Vidyadhar Jinnappa Aski

Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 2022

2021

Early Detection of Rheumatoid Arthritis in Knee using Deep Learning.

Apoorva Parashar, Rahul Rishi

Proceedings of the DSMLAI '21: International Conference on Data Science, Machine Learning and Artificial Intelligence, Windhoek Namibia, August 9, 2021

2017

Identification of gait data using machine learning technique to categories human locomotion.

Anubha Parashar, Apoorva Parashar, Somya Goyal

Proceedings of the 10th International Conference on Security of Information and Networks, 2017

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

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