Bethany Gosala

Employment

• Banaras Hindu University Ph.D. Candidate
  2020 - 2025

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Do Social Robots Motivate Students like Humans?
  2026 DOI: 10.1007/978-981-95-2379-5_8
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• GCN-LSTM: A hybrid graph convolutional network model for schizophrenia classification
  Biomedical Signal Processing and Control 2025 DOI: 10.1016/j.bspc.2025.107657
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• Advanced Brain Tumor Classification from MRI Images with Vision and Swin Transformer Models
  2025 Emerging Technologies for Intelligent Systems (ETIS) 2025 DOI: 10.1109/etis64005.2025.10961204
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• A Transformer Based Emotion Recognition Model for Social Robots Using Topographical Maps Generated from EEG Signals
  2024 DOI: 10.1007/978-3-031-60405-8_17
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• Hybrid Convolutional Neural Networks for Multi-Emotion Classification Using GAMEEMO
  Smart Innovation, Systems and Technologies 2024 DOI: 10.1007/978-981-97-6222-4_10
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• Multi-domain Feature Extraction Methods for Classification of Human Emotions from Electroencephalography (EEG) Signals
  Communications in Computer and Information Science 2024 DOI: 10.1007/978-3-031-64070-4_15
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• Machine Learning and Deep Learning Techniques to Classify Depressed Patients from Healthy, by Using Brain Signals from Electroencephalogram (EEG)
  CRC Press 2023 DOI: 10.1201/9781003359951
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• A Deep Learning Based Model to Study the Influence of Different Brain Wave Frequencies for the Disorder of Depression
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023 DOI: 10.1007/978-3-031-36402-0_42
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• Wavelet transforms for feature engineering in EEG data processing: An application on Schizophrenia
  Biomedical Signal Processing and Control 2023 DOI: 10.1016/j.bspc.2023.104811
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• Detecting design patterns: a hybrid approach based on graph matching and static analysis
  Information Technology and Management 2021 DOI: 10.1007/s10799-021-00339-3
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