Mustafa Alzu’bi, Nailah Al-Madi, Rawan Ghnemat
Particle accelerators, particularly synchrotron facilities, are essential instruments in materials, life, environmental, and medical sciences. They accelerate charged particles to near-light speed, producing synchrotron light delivered to beamlines. Maintaining reliable beamtime…
Susrita Khadka, Joanne Teves Farstad, Chonthichar Soythong, Rashmi Gupta
Abstract Promotional flyers are widely used by retailers to advertise products and prices; however, extracting structured and meaningful data from them remains a significant challenge. Their highly unstructured layouts, visual clutter, and diverse design styles make data extracti…
Abstract The incorporation of artificial intelligence (AI) into ideological and political education (IPE) has tremendous potential to improve accessibility and engagement, particularly among students with impairments. Traditional IPE methods frequently fail to adequately accommod…
Worapan Kusakunniran, Kittinun Aukkapinyo, Kittikhun Thongkanchorn, Pimpinan Somsong, Pimsiri Tiyayon, Sai Thu Ya Aung, et al.
Mangosteen grading is essential for maintaining quality standards in both local and export markets. Traditional manual grading, based on visual inspection, is time-consuming and inconsistent. This paper proposes a multi-view regression-based model using convolutional neural netwo…
Automated responses of the student body performance in Physical Education (PE) settings as the objective forecasting of individual levels of physiological performance and fitness through the standardised cross-sectional measures has been a critical issue because of the subjectivi…
Asmaa Y. Othman, Amira Gaber, Shereen M. El-Metwally
This paper presents a dual-architecture deep learning pipeline for real-time Arabic Sign Language (ArSL) recognition, designed to enhance communication accessibility for the Deaf and Hard of Hearing community. The current system recognises only isolated static Arabic letters; ext…