Arti Anuragi

About

Dr. Arti Anuragi completed her B.Tech. Degree in Electronics and Communication from Parul Institute of Technology in Vadodara, Gujarat, India, in 2015. Subsequently, she obtained her MTech. Degree in Information Technology from the National Institute of Technology (NIT) in Raipur, India, in 2018. She has completed her Ph.D. degree in the Discipline of Computer Science and Engineering at the National Institute of Technology (NIT) in Raipur, India, in 2023. And currently working as assistant professor in Amrita university, Coimbatore. With a focus on bio-medical signal processing, non-stationary signal processing, machine learning, deep learning, and image processing, she has contributed to the field by publishing over 15 papers in esteemed peer-reviewed international journals and conferences. In addition to her academic achievements, Arti Anuragi has actively participated in the scientific community by serving as a member of review boards for numerous reputable journals. Her publications have garnered approximately 350 citations, with an h-index of 7 according to Google Scholar as of May 2024.

Employment

• National Institute of Technology Raipur

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• Autoencoder-Based iEEG Signal Classification for Accurate Focal and Non-focal Epilepsy Detection
  2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC) 2023
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• Performance Evaluation of TQWT and EMD for Automated Major Depressive Disorder Detection Using EEG Signals
  Machine Intelligence Techniques for Data Analysis and Signal Processing: Proceedings of the 4th International Conference MISP 2022, Volume 1 2023
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• Classification of focal and non-focal EEG signals using optimal geometrical features derived from a second-order difference plot of FBSE-EWT rhythms
  Artificial Intelligence in Medicine 2023 DOI: 10.1016/j.artmed.2023.102542
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• Balancing Techniques for Improving Automated Detection of Hate Speech and Offensive Language on Social Media
  2023 2nd International Conference for Innovation in Technology (INOCON) 2023
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• EEG-based cross-subject Emotion Recognition using Fourier-Bessel series expansion based empirical wavelet transform and NCA feature selection method
  Information Sciences 2022
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• Epileptic-seizure classification using phase-space representation of FBSE-EWT based EEG sub-band signals and ensemble learners
  Biomedical Signal Processing and Control 2022
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• Automated FBSE-EWT based learning framework for detection of epileptic seizures using time-segmented EEG signals
  Computers in Biology and Medicine 2021 DOI: 10.1016/j.compbiomed.2021.104708
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• Automated Alcoholism Detection Using Fourier-Bessel Series Expansion Based Empirical Wavelet Transform
  IEEE Sensors Journal 2020 DOI: 10.1109/JSEN.2020.2966766
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• Empirical wavelet transform based automated alcoholism detecting using EEG signal features
  Biomedical Signal Processing and Control 2020 DOI: 10.1016/j.bspc.2019.101777
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• Alcohol use disorder detection using EEG Signal features and flexible analytical wavelet transform
  Biomedical Signal Processing and Control 2019 DOI: 10.1016/j.bspc.2018.10.017
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