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Deep Learning for Automatic Vision-Based Recognition of Industrial Surface Defects: A Survey

Michela Prunella, Roberto Maria Scardigno, Domenico Buongiorno, Antonio Brunetti et al. • IEEE Access (2023)

Automatic vision-based inspection systems have played a key role in product quality assessment for decades through the segmentation, detection, and classification of defects. Historically, machine learning frameworks, based on hand-crafted ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3271748

Introduction to Machine Learning

• Series in machine perception and artificial intelligence (2019)

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict ...

OPENALEX DOI: https://doi.org/10.1142/9789811201967_0001

Artificial intelligence

S. Pradeesh Hosea, V. Harikrishnan, K. Rajkumar • International Conference on Electronics Computer Technology (2011)

Artificial intelligence research has foundered on the issue of representation. When intelligence is approached in an incremental manner, with strict reliance on interfacing to the real world through perception and action, reliance on repres...

OPENALEX DOI: https://doi.org/10.1109/icectech.2011.5941871

Anti-corruption laws as a pillar of national security protection: wartime peculiarities

Tetiana Madryha, Olena Berezovska-Chmil, Yuliia Kobets, Valerii Bortnikov et al. • Ius Humani (2025)

The analysis focuses on how anti-corruption rules ensure both national security and support it during times of war when corruption endangers stability. Our study checks if existing anti-corruption rules and institution systems help protect ...

DOAJ Open Access (DOAJ) DOI: 10.31207/ih.v14i1.415

AI-Enhanced CLIL for Embodied Learning: Applying the CLPS Framework in Secondary Physical Education

Cristina Ramírez-Aroca, Arash Javadinejad • Education Sciences (2026)

This study examines how Artificial Intelligence (AI) can enhance Content and Language Integrated Learning (CLIL) through embodied, multimodal instruction in secondary Physical Education (PE). Drawing on Fernández Fontecha’s Content and Lang...

DOAJ Open Access (DOAJ) DOI: 10.3390/educsci16010062

<i>It Helps with Crap Lecturers and Their Low Effort</i>: Investigating Computer Science Students’ Perceptions of Using ChatGPT for Learning

Mireilla Bikanga Ada • Education Sciences (2024)

This study explores how computing science students (n = 335) use ChatGPT, their trust in its information, their navigation of plagiarism issues, and their confidence in addressing plagiarism and academic integrity. A mixed-methods approach ...

DOAJ Open Access (DOAJ) DOI: 10.3390/educsci14101106

Multi‐modal broad learning for material recognition

Zhaoxin Wang, Huaping Liu, Xinying Xu, Fuchun Sun • Cognitive Computation and Systems (2021)

Abstract Material recognition plays an important role in the interaction between robots and the external environment. For example, household service robots need to replace humans in the home environment to complete housework, so they need t...

DOAJ Open Access (DOAJ) DOI: 10.1049/ccs2.12004

Unified Multimodal Information Flows for Immersive and Context-Aware 6G Systems

Rajesh Manoharan, R. V. Siva Balan, G. Govinda Rajulu, Amit Kumar Padhy et al. • IEEE Open Journal of the Communications Society (2026)

Communication is moving from being data-centric to being experience-centric and perception-aware with the advent of 6G wireless networks. Immersive applications such as digital twins, holographic telepresence, extended reality, tactile Inte...

DOAJ Open Access (DOAJ) DOI: 10.1109/OJCOMS.2026.3683716

Design of the Digital Pathology Workspace for Artificial Intelligence Integration

Elena Guerini-Rocco, Chiara Frascarelli, Joana Sorino, Francesca Maria Porta et al. • Applied Sciences (2026)

Designing an optimal digital pathology workspace is essential to ensure diagnostic accuracy and safeguard the long-term well-being of pathologists. While digital pathology improves reproducibility, facilitates multidisciplinary collaboratio...

DOAJ Open Access (DOAJ) DOI: 10.3390/app16126021

Artificial Intelligence for Intraoperative Guidance

Amin Madani, Babak Namazi, Maria S. Altieri, Daniel A. Hashimoto et al. • Annals of Surgery (2020)

OBJECTIVE: The aim of this study was to develop and evaluate the performance of artificial intelligence (AI) models that can identify safe and dangerous zones of dissection, and anatomical landmarks during laparoscopic cholecystectomy (LC)....

OPENALEX Open Access DOI: https://doi.org/10.1097/sla.0000000000004594 PMC: 8186165

Women’s perceptions and attitudes towards the use of AI in mammography in Sweden: a qualitative interview study

Jennifer Viberg Johansson, Karin Dembrower, Fredrik Strand, Åsa Grauman • BMJ Open (2024)

Background Understanding women’s perspectives can help to create an effective and acceptable artificial intelligence (AI) implementation for triaging mammograms, ensuring a high proportion of screening-detected cancer. This study aimed to e...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjopen-2024-084014

A is for Artificial Intelligence

Randi Williams, Hae Won Park, Cynthia Breazeal • CHI Conference on Human Factors in Computing Systems (2019)

We developed a novel early childhood artificial intelligence (AI) platform, PopBots, where preschool children train and interact with social robots to learn three AI concepts: knowledge-based systems, supervised machine learning, and genera...

OPENALEX Open Access DOI: https://doi.org/10.1145/3290605.3300677

Imago Imaginis

Marjana Dolšina Delač • Ars & Humanitas (2026)

Teaching formal analysis in art history often reveals gaps between students’ visual perception and their analytical articulation. This study explores the pedagogical potential of AI image generators in art history education, focusing on the...

DOAJ Open Access (DOAJ) DOI: 10.4312/ars.20.1.159-177

Perspectives of Administrators and Teachers on Factors Affecting STEM Professional Development Management in Primary Schools in the Mekong Delta

Thi Mai Huong Vu, Van Ngoan Trinh, Tuan Khanh Vo • Tạp chí Khoa học Đại học Đồng Tháp (2026)

This study examined administrators’ and teachers’ perceptions of the factors affecting the management of professional development for primary school teachers’ STEM teaching competencies in the Mekong Delta, Vietnam. The paper reports the qu...

DOAJ Open Access (DOAJ) DOI: 10.52714/dthu.ajes.36.2023