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Computer vision and AI-based cell phone usage detection in restricted zones of manufacturing industries

Uttam U. Deshpande, Supriya Shanbhag, Ramesh Koti, Ameet Chate et al. • Frontiers in Computer Science (2025)

Phone calls are strictly forbidden in certain locations due to the potential security threats. Mobile phones’ growing capabilities have also increased the risk of their misuse in places that are restricted, like manufacturing plants. Unauth...

DOAJ Open Access (DOAJ) DOI: 10.3389/fcomp.2025.1535775

Artificial intelligence in recommender systems

Qian Zhang, Jie Lu B, Yaochu Jin • Complex & Intelligent Systems (2020)

Abstract Recommender systems provide personalized service support to users by learning their previous behaviors and predicting their current preferences for particular products. Artificial intelligence (AI), particularly computational intel...

OPENALEX cc-by DOI: https://doi.org/10.1007/s40747-020-00212-w

Smart_Eye: A Navigation and Obstacle Detection for Visually Impaired People through Smart App

Bhasha Pydala, T. Pavan Kumar, K. Khaja Baseer • Journal of Applied Engineering and Technological Science (2023)

Vision is extremely important in our lives. The loss of sight is a serious issue for anyone. According to the WHO, one-sixth of the world's population suffers from vision impairment. According to World Health Organization (WHO) statistics p...

DOAJ Open Access (DOAJ) DOI: 10.37385/jaets.v4i2.2013

Artificial intelligence assisted 3D in the robotic urooncology? A systematic review and narrative synthesis of current applications, challenges and future directions

Bara Barakat, Bilal Al-Absi, Boris Hadaschik, Christian Rehme et al. • The Canadian Journal of Urology (2026)

Background: Artificial intelligence (AI)-assisted three-dimensional (3D) surgical platforms, integrated with augmented reality, have the potential to improve intraoperative anatomical recognition and provide surgeons with an immersive, dyna...

DOAJ Open Access (DOAJ) DOI: 10.32604/cju.2026.071284

Prediction of irinotecan toxicity in metastatic colorectal cancer patients based on machine learning models with pharmacokinetic parameters

Esther Oyaga-Iriarte, Asier Insausti, Onintza Sayar, Azucena Aldaz • Journal of Pharmacological Sciences (2019)

Irinotecan (CPT-11) is a drug used against a wide variety of tumors, which can cause severe toxicity, possibly leading to the delay or suspension of the cycle, with the consequent impact on the prognosis of survival. The main goal of this w...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jphs.2019.03.004

Convergence of Artificial Intelligence and Wearables in Strength Training and Performance Monitoring: A Scoping Review

Eleftherios Fyntikakis, Spyridon Plakias, Themistoklis Tsatalas, Minas A. Mina et al. • Applied Sciences (2026)

Background: Strength training (ST) is essential for enhancing athletic performance and reducing injury risk, yet traditional monitoring relies heavily on subjective assessment, limiting objective and individualized evaluation. Objective: Th...

DOAJ Open Access (DOAJ) DOI: 10.3390/app16073565

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

Managing artificial intelligence

Paul R. Krausman • Journal of Wildlife Management (2023)

By the time you finish reading this editorial about artificial intelligence (AI), it will be outdated; the AI field is growing beyond the imagination of many. One cannot even look at the news without finding something about AI: duplication ...

OPENALEX other-oa DOI: https://doi.org/10.1002/jwmg.22492

Artificial Intelligence

David Poole, Alan K. Mackworth • Cambridge University Press eBooks (2017)

Artificial intelligence, including machine learning, has emerged as a transformational science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents presents AI using a coherent framework to study the desi...

OPENALEX DOI: https://doi.org/10.1017/9781108164085

Electromagnetic Field Distribution Mapping: A Taxonomy and Comprehensive Review of Computational and Machine Learning Methods

Yiannis Kiouvrekis, Theodor Panagiotakopoulos • Computers (2025)

Electromagnetic field (EMF) exposure mapping is increasingly important for ensuring compliance with safety regulations, supporting the deployment of next-generation wireless networks, and addressing public health concerns. While numerous su...

DOAJ Open Access (DOAJ) DOI: 10.3390/computers14090373

From Promise to Peril: generative artificial intelligence's potential to deepen educational inequalities in geographically diverse contexts

Ben Archer • Artificial Intelligence in Education (2026)

PurposeThis study critically examines how van Dijk's Digital Divide Theory applies to generative artificial intelligence (GenAI) access in regional, remote and rural (RRR) educational contexts. It interrogates whether a framework designed f...

DOAJ Open Access (DOAJ) DOI: 10.1108/AIIE-07-2025-0199

Artificial intelligence in oncology

Hideyuki Shimizu, Keiichi I. Nakayama • Cancer Science (2020)

Artificial intelligence (AI) has contributed substantially to the resolution of a variety of biomedical problems, including cancer, over the past decade. Deep learning, a subfield of AI that is highly flexible and supports automatic feature...

OPENALEX cc-by-nc DOI: https://doi.org/10.1111/cas.14377 PMC: 7226189

A Comparative Analysis of Supervised and Unsupervised Models for Detecting Attacks on the Intrusion Detection Systems

Tala Talaei Khoei, Naima Kaabouch • Information (2023)

Intrusion Detection Systems are expected to detect and prevent malicious activities in a network, such as a smart grid. However, they are the main systems targeted by cyber-attacks. A number of approaches have been proposed to classify and ...

DOAJ Open Access (DOAJ) DOI: 10.3390/info14020103

The use of artificial intelligence in anesthesiology: Attitudes and ethical concerns of anesthesiologists

Selin Erel, Aslıhan G. Kılıç • Saudi Journal of Anaesthesia (2025)

Background: Existing studies on anesthesiologists’ attitudes toward artificial intelligence (AI) leave a global understanding underexplored. This cross-sectional study aims to investigate Turkish anesthesiologists’ attitudes toward AI, exam...

DOAJ Open Access (DOAJ) DOI: 10.4103/sja.sja_164_25

Artificial Intelligence in Anesthesiology

Daniel A. Hashimoto, Elan R. Witkowski, Lei Gao, Ozanan R. Meireles et al. • Anesthesiology (2019)

Artificial intelligence has been advancing in fields including anesthesiology. This scoping review of the intersection of artificial intelligence and anesthesia research identified and summarized six themes of applications of artificial int...

OPENALEX Open Access DOI: https://doi.org/10.1097/aln.0000000000002960 PMC: 7643051

Artificial Intelligence

David Poole, Alan K. Mackworth • Cambridge University Press eBooks (2010)

Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. This textbook, aimed at junior to senior undergraduate students and first-year graduate students, presents artificial in...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511794797

A Risk Identification Method for Ensuring AI-Integrated System Safety for Remotely Controlled Ships with Onboard Seafarers

Changui Lee, Seojeong Lee • Journal of Marine Science and Engineering (2024)

The maritime sector is increasingly integrating Information and Communication Technology (ICT) and Artificial Intelligence (AI) technologies to enhance safety, environmental protection, and operational efficiency. With the introduction of t...

DOAJ Open Access (DOAJ) DOI: 10.3390/jmse12101778