Research
Four peer-reviewed papers across EEG diagnostics, smartphone sensor fusion, medical screening, and manufacturing inspection.
Publications
A deep learning approach to ADHD detection from preprocessed EEG signals, evaluating six joint CNN, LSTM, and GRU architectures for accurate, data-driven diagnosis.
Conference paper · IEEE
Devrajsinh Jhala, Pranav Sirodaria, Yogesh Kumar, Poonam Bhargav
A deep learning system for smartphone-based human activity recognition using accelerometer and gyroscope data, comparing a Full Transformer model with a proposed Joint Learning fusion architecture.
Conference paper · Springer Nature
Devraj Jhala, Bhargav Nadiadra, Chintan M. Bhatt, Alessandro Bruno, Salvatore Sorce
A transfer learning study for early Down Syndrome screening from facial images using multiple pre-trained CNN architectures and targeted fine-tuning.
Book chapter · Taylor & Francis
Nirmit Patel, Tarang Ghetia, Devraj Jhala, Shubh Kapadia, Yogesh Kumar
A machine learning approach for predicting surface roughness in EDM-machined materials using process parameters instead of contact-based inspection.
Conference paper · Springer Nature
Devrajsinh Jhala, Nirmit Patel, Jemil Dharia, Jemin Butani, Devesh Patel, M. B. Kiran