SRIDHAR CHINTALA

Employment

• SR University Asst.Professor
  2023 - Present

Education

• IIT(ISM) Dhanbad Ph.D(pursuing)
  2016 - 2022

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• A ConvNeXt–Liquid Neural Network framework for accurate RL disease classification
  Computers and Electronics in Agriculture 2026 DOI: 10.1016/j.compag.2026.112271
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• Removal of Artifacts From EEG Signal Using Adaptive Learning Methods: A Review
  2026 DOI: 10.1007/978-981-95-5831-5_43
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• Event-related desynchronization detection and electroencephalography motor imagery classification using vision transformer
  Intelligent Data Analysis: An International Journal 2025 DOI: 10.1177/1088467X251324336
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• Enhanced feature vector reduction of S-transformed electroencephalography signal for optimal Parkinson’s disease detection
  Biomedical Signal Processing and Control 2025 DOI: 10.1016/j.bspc.2025.107922
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• Least Mean Square/Fourth Adaptive algorithm for excision of ocular artifacts from EEG signals
  Applied Acoustics 2024 DOI: 10.1016/j.apacoust.2024.110009
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• Elimination of EOG signals from raw EEG signals using step size based recursive least squares- least mean fourth adaptive algorithm
  Applied Acoustics 2021 DOI: 10.1016/j.apacoust.2021.108097
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• Mixed step size normalized least mean fourth adaptive algorithm for artifact elimination from raw EEG signals
  Biomedical Signal Processing and Control 2021 DOI: 10.1016/j.bspc.2020.102392
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• Ocular Artifact elimination from EEG signals using Robust Variable Step Size LMF Adaptive Algorithm
  2020 IEEE 17th India Council International Conference, INDICON 2020 2020 DOI: 10.1109/INDICON49873.2020.9342185
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• Ocular artifact elimination from eeg signals using RVFF-RLS adaptive algorithm
  26th National Conference on Communications, NCC 2020 2020 DOI: 10.1109/NCC48643.2020.9055993
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• Variable Step Size NLMF Adaptive Algorithm for Elimination of Ocular Artifacts from EEG Signals
  Proceedings of the 2020 International Conference on Computing, Communication and Security, ICCCS 2020 2020 DOI: 10.1109/ICCCS49678.2020.9277135
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