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openalexDiscover Artificial Intelligence2026-07-26Cited by 0

Multi-objective obstacle avoidance path planning of inspection robot integrating ant colony optimization and dynamic window

Li He

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openalexDiscover Artificial Intelligence2026-07-24

Smart prediction of beam availability at synchrotron facilities

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…

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openalexDiscover Artificial Intelligence2026-07-26

Automated product and price information extraction from retail promotional flyers using YOLO and OCR

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…

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crossrefDiscover Artificial Intelligence2026-05-30

Human machine collaboration in ideological education supports students with disabilities through AI-assisted communication tools

Hongshuai Shi

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…

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openalexDiscover Artificial Intelligence2026-07-24

Mangosteen grading using image regression under multiple views

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…

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openalexDiscover Artificial Intelligence2026-07-26

Interpretable student physical performance classification in physical education using a hybrid attentive tabular network (HAT-Net)

Wen Mao

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…

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openalexDiscover Artificial Intelligence2026-07-26

A dual-architecture deep learning pipeline for real-time high-accuracy Arabic sign language recognition

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…

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