Istanbul Gelisim University Faculty of Engineering and Architecture2025-08-082025-08-082025https://hdl.handle.net/11363/10237GROUNDBREAKING RESEARCH IN DRIVER DROWSINESS DETECTION WITH PAFWF-EEGC NET A research assistant from our faculty, Muhammed Mustafa Yurdakul, in collaboration with Associate Professor Dr. Ali H. Abdulwahhab and Dr. Işıl Myderrizi, has contributed to a revolutionary study in driver drowsiness detection. Published in the journal Signal, Image and Video Processing, the article titled “PAFWF-EEGC Net: Parallel Adaptive Feature Weight Fusion Based on EEG-Dynamic Characteristics Using Channels Neural Network for Driver Drowsiness Detection” introduces an innovative electroencephalography (EEG)-based neural network model, making a substantial contribution to traffic safety.eninfo:eu-repo/semantics/openAccessIstanbul Gelisim UniversityFaculty of Engineering and ArchitectureBulletinsOtherJuly 2025