Anubha Parashar

According to our database, Anubha Parashar authored at least 16 papers between 2014 and 2026.

Collaborative distances:

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

2026

Vehicle-Scale LLMs: Integrating low-rank residuals and 4-bit quantization for in-vehicle AI.

Anubha Parashar, Apoorva Parashar, Bhavya Joshi, Kavita Jhajharia, Aditya Sinha

Array, 2026

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

Journey into gait biometrics: Integrating deep learning for enhanced pattern recognition.

Anubha Parashar, Apoorva Parashar, Imad Rida

Digit. Signal Process., 2024

2023

Internet of Things in healthcare: A survey on protocol standards, enabling technologies, WBAN architectures and open issues.

Vidyadhar Jinnappa Aski, Vijaypal Singh Dhaka, Anubha Parashar, Sunil Kumar, Imad Rida

Phys. Commun., October, 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

Protection of gait data set for preserving its privacy in deep learning pipeline.

Anubha Parashar, Rajveer Singh Shekhawat

IET Biom., November, 2022

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

Anubha Parashar, Apoorva Parashar, Rajveer Singh Shekhawat

IET Biom., November, 2022

Intra-class variations with deep learning-based gait analysis: A comprehensive survey of covariates and methods.

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

Neurocomputing, 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

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

2014

Business and Social Behaviour Intelligence Analysis Using PSO.

Vinay S. Bhaskar, Abhishek Kumar Singh, Jyoti Dhruw, Anubha Parashar, Mradula Sharma

Int. J. Interact. Multim. Artif. Intell., 2014

Search Space Engine Optimize Search Using FCC_STF Algorithm in Fuzzy Co-Clustering.

Monika Rani, Anubha Parashar, Jyoti Chaturvedi, Anu Malviya

CoRR, 2014