State-of-the-art mental tasks classification based on electroencephalograms: a review
Electroencephalograms (EEGs) play an important role in analyzing different mental tasks
and neurological disorders. Hence, they are a critical component for designing various …
and neurological disorders. Hence, they are a critical component for designing various …
SIGxCL: A Signal-Image-Graph Cross-Modal Contrastive Learning Framework for CVD Diagnosis Based on Internet of Medical Things
Recently, contrastive learning (CL) has garnered wide interest because it enables
unsupervised pretraining to alleviate conventional deep learning methods' strong reliance …
unsupervised pretraining to alleviate conventional deep learning methods' strong reliance …
Pulmo-TS2ONN: A Novel Triple Scale Self Operational Neural Network for Pulmonary Disorder Detection Using Respiratory Sounds
Pulmonary disorders (PDs) are one of the substantial hazards to human life, which can be
diagnosed by a variety of clinical modalities, including peak flowmeter and spirometry …
diagnosed by a variety of clinical modalities, including peak flowmeter and spirometry …
FireDL: A novel framework for fire detection and localization suitable for memory constrained IoT devices
P Verma, R Bakthula - Multimedia Tools and Applications, 2024 - Springer
Fire is a dangerous and unwanted calamity that can destroy properties and lives in forest
and urban areas within a few minutes. The effects of which may not be reversible. Therefore …
and urban areas within a few minutes. The effects of which may not be reversible. Therefore …
Design and Evaluation of a Hardware System for Online Signal Processing within Mobile Brain-Computer Interfaces
MN Wahalla - 2024 - repo.uni-hannover.de
Brain-Computer Interfaces (BCIs) are innovative systems that enable direct communication
between the brain and external devices. These interfaces have emerged as a transformative …
between the brain and external devices. These interfaces have emerged as a transformative …