Dynamic driver drowsiness detection with attention enhanced convolutional neural networks for real time monitoring and road safety applications.
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| Title: | Dynamic driver drowsiness detection with attention enhanced convolutional neural networks for real time monitoring and road safety applications. |
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| Authors: | El-Nabi SA; Department of Artificial Intelligence Engineering, Faculty of Computer Science and Engineering, King Salman International University (KSIU), South Sinai, 46511, Egypt.; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt., Ibrahim AF; Department of Artificial Intelligence Engineering, Faculty of Computer Science and Engineering, King Salman International University (KSIU), South Sinai, 46511, Egypt.; Information Systems Department, Faculty of Computers and Informatics, Suez Canal University, Ismailia, 41522, Egypt.; College of Arts and Science, Umm Al Quwain University, Umm Al Quwain, UAE., Emira HHA; Department of Artificial Intelligence Engineering, Faculty of Computer Science and Engineering, King Salman International University (KSIU), South Sinai, 46511, Egypt., Alshathri S; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia. sealshathry@pnu.edu.sa., El-Rabaie EM; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt., Emam A; Computer Science and Math Department, Faculty of Science, Menoufia University, Menoufia, Egypt., El-Shafai W; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt. eng.waled.elshafai@gmail.com.; Automated Systems and Computing Lab (ASCL), Computer Science Department, Prince Sultan University, 11586, Riyadh, Saudi Arabia. eng.waled.elshafai@gmail.com. |
| Source: | Scientific reports [Sci Rep] 2026 Jun 11. Date of Electronic Publication: 2026 Jun 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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