Apoorva Parashar

According to our database1, Apoorva Parashar authored at least 11 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Advancements in artificial intelligence for biometrics: A deep dive into model-based gait recognition techniques.
Eng. Appl. Artif. Intell., 2024

Journey into gait biometrics: Integrating deep learning for enhanced pattern recognition.
Digit. Signal Process., 2024

2023
Real-time gait biometrics for surveillance applications: A review.
Image Vis. Comput., October, 2023

Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches.
Pattern Recognit. Lett., August, 2023

Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review.
Artif. Intell. Rev., 2023

2022
A robust covariate-invariant gait recognition based on pose features.
IET Biom., November, 2022

Protecting the Privacy of Face by De-Identification Pipeline Based on Deep Learning.
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.
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.
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.
Int. J. Interact. Multim. Artif. Intell., 2016

Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean.
ICTCS, 2016


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