80 citations
- Swakkhar Shatabda10 · h 31
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- Bangladesh University of Engineering and TechnologyBD14 papers
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4 papers · 1 filter
PaperNet: Efficient Temporal Convolutions and Channel Residual Attention for EEG Epilepsy Detection
Md Shahriar Sajid, Abhijit Kumar Ghosh, Fariha Nusrat
Electroencephalography (EEG) signals contain rich temporal-spectral structure but are difficult to model due to noise, subject variability, and multi-scale dynamics. Lightweight de…
Attentive Dilated Convolution for Automatic Sleep Staging using Force-directed Layout
Md Jobayer, Md Mehedi Hasan Shawon, Tasfin Mahmud +2
Sleep stages play an important role in identifying sleep patterns and diagnosing sleep disorders. In this study, we present an automated sleep stage classifier called the Attentive…
Emotion Analysis on EEG Signal Using Machine Learning and Neural Network
S. M. Masrur Ahmed, Eshaan Tanzim Sabur
Emotion has a significant influence on how one thinks and interacts with others. It serves as a link between how a person feels and the actions one takes, or it could be said that…
Cognitive IoT based Health Monitoring Scheme using Non-Orthogonal Multiple Access
Ashiqur Rahman Rahul, Saifur Rahman Sabuj, Majumder Fazle Haider +1
It has become very essential to address the limited spectrum capacity and their efficient utilization to support the increasing number of Internet of Things devices. When it comes…