ANUBHA PARASHAR

Employment

• Pearce Services Global Analytics & AI Engineer
  2025 - Present
• Invincible Ocean Research Scientist
  2024 - 2024
• Manipal University Jaipur Assistant Professor
  2016 - 2024

Education

• Manipal University Jaipur PhD
  2018 - 2023
• Maharshi Dayanand University MTech
  2014 - 2016
• Maharshi Dayanand University BTech
  2009 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Vehicle-Scale LLMs: Integrating low-rank residuals and 4-bit quantization for in-vehicle AI
  Array 2026 DOI: 10.1016/j.array.2026.100709
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• Advancements in artificial intelligence for biometrics: A deep dive into model-based gait recognition techniques
  Engineering Applications of Artificial Intelligence 2024 DOI: 10.1016/j.engappai.2023.107712
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• Journey into gait biometrics: Integrating deep learning for enhanced pattern recognition
  Digital Signal Processing 2024 DOI: 10.1016/j.dsp.2024.104393
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• Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches
  Pattern Recognition Letters 2023 DOI: 10.1016/j.patrec.2023.05.021
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• A robust covariate‐invariant gait recognition based on pose features
  IET Biometrics 2022 DOI: 10.1049/bme2.12103
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• Protection of gait data set for preserving its privacy in deep learning pipeline
  IET Biometrics 2022 DOI: 10.1049/bme2.12093
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• Cloud-Assisted IoT-Enabled Smoke Monitoring System (e-Nose) Using Machine Learning Techniques
  Smart Innovation, Systems and Technologies 2020 DOI: 10.1007/978-981-13-8406-6_70
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• IoT-Based Cloud-Enabled Smart Electricity Management System
  Smart Innovation, Systems and Technologies 2020 DOI: 10.1007/978-981-13-8406-6_71
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• IoT based automated weather report generation and prediction using machine learning
  2019 2nd International Conference on Intelligent Communication and Computational Techniques, ICCT 2019 2019 DOI: 10.1109/ICCT46177.2019.8968782
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• Application of Big Data Analytics in Cloud Computing via Machine Learning
  Advances in Parallel Computing 2018 DOI: 10.3233/978-1-61499-814-3-236
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