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Mohammed I Khalaf

Showing results (1-10 of 5) with videos related to

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Scientific Reports|August 25, 2025
A deep learning framework for automated early diagnosis and classification of skin cancer lesions in dermoscopy imagesAlaa S Al-Waisy, Shumoos Al-Fahdawi, Mohammed I Khalaf, et al.
Journal of Neuroscience Methods|June 6, 2025
Retraction notice to "Lightweight attention mechanisms for EEG emotion recognition for brain computer interface"Naresh Kumar Gunda, Mohammed I Khalaf, Shaleen Bhatnagar, et al.
Journal of Neuroscience Methods|July 20, 2024
Lightweight attention mechanisms for EEG emotion recognition for brain computer interfaceNaresh Kumar Gunda, Mohammed I Khalaf, Shaleen Bhatnagar, et al.
Scientific Reports|July 7, 2026
Artificial neural network modeling to predict corrective stress of a two-layer composite plate under fully reversed cyclic loading using the finite element method & morrow methodAli Alkhafaji, Mohammed I Khalaf, Teeba Ismail Kh, et al.
SLAS Technology|August 29, 2024
Bio-inspired EEG signal computing using machine learning and fuzzy theory for decision making in future-oriented brain-controlled vehiclesHaewon Byeon, Aadam Quraishi, Mohammed I Khalaf, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

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Pageof 1
Scientific Reports|August 25, 2025
A deep learning framework for automated early diagnosis and classification of skin cancer lesions in dermoscopy imagesAlaa S Al-Waisy, Shumoos Al-Fahdawi, Mohammed I Khalaf, et al.
Journal of Neuroscience Methods|June 6, 2025
Retraction notice to "Lightweight attention mechanisms for EEG emotion recognition for brain computer interface"Naresh Kumar Gunda, Mohammed I Khalaf, Shaleen Bhatnagar, et al.
Journal of Neuroscience Methods|July 20, 2024
Lightweight attention mechanisms for EEG emotion recognition for brain computer interfaceNaresh Kumar Gunda, Mohammed I Khalaf, Shaleen Bhatnagar, et al.
Scientific Reports|July 7, 2026
Artificial neural network modeling to predict corrective stress of a two-layer composite plate under fully reversed cyclic loading using the finite element method & morrow methodAli Alkhafaji, Mohammed I Khalaf, Teeba Ismail Kh, et al.
SLAS Technology|August 29, 2024
Bio-inspired EEG signal computing using machine learning and fuzzy theory for decision making in future-oriented brain-controlled vehiclesHaewon Byeon, Aadam Quraishi, Mohammed I Khalaf, et al.
Pageof 1