Istanbul Gelisim University Faculty of Engineering and Architecture: Bulletin (July 2025)

dc.contributor.author	Istanbul Gelisim University Faculty of Engineering and Architecture
dc.date.accessioned	2025-08-08T07:36:54Z
dc.date.available	2025-08-08T07:36:54Z
dc.date.issued	2025
dc.department	Mühendislik ve Mimarlık Fakültesi
dc.description.abstract	GROUNDBREAKING 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.
dc.identifier.issue	July 2025
dc.identifier.uri	https://hdl.handle.net/11363/10237
dc.language.iso	en
dc.publisher	İstanbul Gelişim Üniversitesi / Istanbul Gelisim University
dc.relation.publicationcategory	Diğer
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Istanbul Gelisim University
dc.subject	Faculty of Engineering and Architecture
dc.subject	Bulletins
dc.title	Istanbul Gelisim University Faculty of Engineering and Architecture: Bulletin (July 2025)
dc.type	Other