Aneesh G Nath

Employment

• TKM College of Engineering Associate Professor
  2009 - Present

Education

• IIT (BHU) PhD
  2018 - Present
• National Institute of Technology Karnataka M. Tech
  2012 - 2014
• SCT College of Engineering B.Tech
  2005 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• An Interpretable Electric Vehicles Battery State of Charge Estimation Using MHDTCN-GRU
  IEEE Transactions on Vehicular Technology 2024 DOI: 10.1109/TVT.2024.3447228
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• An optimized extreme learning machine‐based novel model for bearing fault classification
  Expert Systems 2024 DOI: 10.1111/exsy.13432
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• Structural Rotor Fault Diagnosis Using Attention-Based Sensor Fusion and Transformers
  IEEE Sensors Journal 2022 DOI: 10.1109/JSEN.2021.3130183
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• Application of Industry 4.0 and Meta Learning for Bearing Fault Classification
  2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2022 2022 DOI: 10.1109/CSCWD54268.2022.9776043
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• Improved Structural Rotor Fault Diagnosis Using Multi-Sensor Fuzzy Recurrence Plots and Classifier Fusion
  IEEE Sensors Journal 2021 DOI: 10.1109/JSEN.2021.3079366
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• Role of artificial intelligence in rotor fault diagnosis: a comprehensive review
  Artificial Intelligence Review 2021 DOI: 10.1007/s10462-020-09910-w
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• An Early Classification Approach for Improving Structural Rotor Fault Diagnosis
  IEEE Transactions on Instrumentation and Measurement 2021 DOI: 10.1109/TIM.2020.3043959
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• Deep Learning Based Security Preservation of IoT: An Industrial Machine Health Monitoring Scenario
  Signals and Communication Technology 2021 DOI: 10.1007/978-981-16-6186-0_9
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• Automated cashew kernel grading using machine vision
  2016 International Conference on Next Generation Intelligent Systems, ICNGIS 2016 2017 DOI: 10.1109/ICNGIS.2016.7854063
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• Building boundary tracing and regularization from LiDAR point cloud
  Proceedings of IEEE International Conference on Emerging Technological Trends in Computing, Communications and Electrical Engineering, ICETT 2016 2017 DOI: 10.1109/ICETT.2016.7873645
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