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ID-Det: Insulator Burst Defect Detection from UAV Inspection Imagery of Power Transmission Facilities

Shangzhe Sun, Chi Chen, Bisheng Yang, Zhengfei Yan et al. • Drones (2024)

The global rise in electricity demand necessitates extensive transmission infrastructure, where insulators play a critical role in ensuring the safe operation of power transmission systems. However, insulators are susceptible to burst defec...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones8070299

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

Silhouette-driven contrastive learning with hierarchical neighborhood structure for unsupervised clothes change person re-identification

Mingkun Li, Peng Xu • CAAI Artificial Intelligence Research (2026)

This paper addresses a highly challenging yet critical task: unsupervised person re-identification (Re-ID) under clothing changes. Unfortunately, existing unsupervised person Re-ID methods are mainly designed for short-term scenarios that r...

DOAJ Open Access (DOAJ) DOI: 10.26599/AIR.2025.9150050

How can gender be identified from heart rate data? Evaluation using ALLSTAR heart rate variability big data analysis

Itaru Kaneko, Junichiro Hayano, Emi Yuda • BMC Research Notes (2023)

Abstract Objective A small electrocardiograph and Holter electrocardiograph can record an electrocardiogram for 24 h or more. We examined whether gender could be verified from such an electrocardiogram and, if possible, how accurate it woul...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13104-022-06270-2

Artificial intelligence in retina

Ursula Margarethe Schmidt-Erfurth, Amir Sadeghipour, Bianca S. Gerendas, Sebastian M. Waldstein et al. • Progress in Retinal and Eye Research (2018)

Major advances in diagnostic technologies are offering unprecedented insight into the condition of the retina and beyond ocular disease. Digital images providing millions of morphological datasets can fast and non-invasively be analyzed in ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.preteyeres.2018.07.004

A multi-branch network for cooperative spectrum sensing via attention-based and CNN feature fusion

Doi Thi Lan, Quan T. Ngo, Luong Vuong Nguyen, O-Joun Lee • Scientific Reports (2026)

Abstract In cognitive radio (CR) systems, the accurate detection of spectrum holes is a cornerstone for efficient spectrum utilization. However, the increasing complexity of CR environments, particularly those with multiple primary users (P...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-36031-1

REVIEW OF THEORETICAL APPROACHES TO USING OF ARTIFICIAL INTELLIGENCE FOR PLANNING PROBLEMS IN ECONOMICS

Gocha Ugulava • ეკონომიკური პროფილი (2022)

Artificial intelligence methods and technologies are increasingly included in human's everyday life. Managing actors in the context of their activities, from the planning stage to the decision-making stage, are faced with the need to operat...

DOAJ Open Access (DOAJ) DOI: 10.52244/ep.2021.22.11

Strategies and Dynamics of Online Fraud in Indonesia: Tracing the Effectiveness of the Implementation of the Electronic and Transaction Information Act

Muh. Akbar Fhad Syahril, Ardiyanti Aris • Journal of Law Justice (2024)

This study explores the implementation of the Electronic Information and Transaction Law (UU ITE) in handling online fraud cases in Indonesia, using normative-empirical legal methods. Although the UU ITE provides a comprehensive legal frame...

DOAJ Open Access (DOAJ) DOI: 10.33506/jlj.v2i3.3711

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

Information Extraction Tool Text2ALM: From Narratives to Action Language System Descriptions

Craig Olson, Yuliya Lierler • Electronic Proceedings in Theoretical Computer Science (2019)

In this work we design a narrative understanding tool Text2ALM. This tool uses an action language ALM to perform inferences on complex interactions of events described in narratives. The methodology used to implement the Text2ALM system was...

DOAJ Open Access (DOAJ) DOI: 10.4204/EPTCS.306.16

Artificial intelligence: a modern approach

Dr. Anil Kumar, Sivasubramanian Balasubramanian, Dr. Haewon Byeon, Prof. Ganesh Vasudeo Manerkar • Choice Reviews Online (1995)

The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Search...

OPENALEX Open Access DOI: https://doi.org/10.5860/choice.33-1577

Artificial Intelligence in Architectural Design

Universitas Komputer Indonesia, Andi Harapan, Dessy Indriani, N F Rizkiya et al. • International Journal of Design (2021)

Artificial intelligence is one of the methods in elaborating design, especially on architectural design.This method has been adapted to many designs, such as building complex, massing models.This study aims to determine the influence of art...

OPENALEX Open Access DOI: https://doi.org/10.34010/injudes

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

Demand response potential evaluation based on feature fusion with expert knowledge and multi‐image

Jiale Liu, Xinlei Cai, Zijie Meng, Xin Jin et al. • IET Smart Grid (2024)

Abstract Potential evaluation to assist demand response decisions has garnered significant attention with the development of new power systems. However, existing data‐driven methods are challenging to properly exploit multivariate features ...

DOAJ Open Access (DOAJ) DOI: 10.1049/stg2.12182

Static voltage stability margin prediction considering new energy uncertainty based on graph attention networks and long short‐term memory networks

Tong Liu, Xueping Gu, Shaoyan Li, Yansong Bai et al. • IET Renewable Power Generation (2023)

Abstract The existing static voltage stability margin evaluation methods cannot meet the actual demand of current power grid well in terms of calculation speed and accuracy. Thus, this paper proposes a static voltage stability margin predic...

DOAJ Open Access (DOAJ) DOI: 10.1049/rpg2.12731