Reset
Showing 20 of 1,917 academic articles

Enhancing Online Security: A Novel Machine Learning Framework for Robust Detection of Known and Unknown Malicious URLs

Shiyun Li, Omar Dib • Journal of Theoretical and Applied Electronic Commerce Research (2024)

The rapid expansion of the internet has led to a corresponding surge in malicious online activities, posing significant threats to users and organizations. Cybercriminals exploit malicious uniform resource locators (URLs) to disseminate har...

DOAJ Open Access (DOAJ) DOI: 10.3390/jtaer19040141

Artificial Intelligence

John Haugeland • The MIT Press eBooks (1989)

"Machines who think—how utterly preposterous," huff beleaguered humanists, defending their dwindling turf. "Artificial Intelligence—it's here and about to surpass our own," crow techno-visionaries, proclaiming dominion. It's so simple and o...

OPENALEX DOI: https://doi.org/10.7551/mitpress/1170.001.0001

Artificial Intelligence

Mark Kac, Gian‐Carlo Rota, Jacob T. Schwartz • Birkhäuser Boston eBooks (1992)

Scientists Doing Research On Artificial Intelligence are still far from their ultimate goal — a computer-based analog of the human brain. Nevertheless, their efforts have regularly produced results useful in applied computer science. For ex...

OPENALEX DOI: https://doi.org/10.1007/978-0-8176-4775-9_16

What Is Artificial Intelligence?

Al Naqvi • Wiley eBooks (2020)

The problems with audit quality, almost in every case, are human related and not procedural. In other words, the issues existed not because the audit methods failed or were not sufficient to perform a quality audit, but because of human err...

OPENALEX DOI: https://doi.org/10.1002/9781119601906.ch3

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

Frontiers in Artificial Intelligence and Applications

Jaya Yadav, Shruti Shukla, Kanika Sharma, Nupur Soni et al. • International Conference on Computation, Automation and Knowledge Management (ICCAKM) (2022)

The industrial revolution has been the main cause ever since tremendous technological advancement was observed. The ubiquitous deployment of recent information and communication technologies (ICT), namely Artificial Intelligence (AI), Inter...

OPENALEX DOI: https://doi.org/10.1109/iccakm54721.2022.9990098

The Quest for Artificial Intelligence

Nils J. Nilsson • Cambridge University Press eBooks (2009)

Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) ...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511819346

Egocentric Hand Activity Video Dataset and Bidirectional Motion-Priors for Hand Action Recognition

Jiyoung Seo, Dong In Lee, Pilhyeon Lee, Jiwoo Lee et al. • IEEE Access (2026)

Recognizing tool-based hand activities from a first-person view is a critical yet challenging task in computer vision, due to the complexity of hand-object interactions and often subtle, ambiguous motion patterns. In real-world manufacturin...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2026.3652803

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

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

Analysis of Water Pollution Using Different Physicochemical Parameters: A Study of Yamuna River

Rohit Sharma, Raghvendra Kumar, Suresh Chandra Satapathy, Nadhir Al-Ansari et al. • Frontiers in Environmental Science (2020)

The Yamuna river has become one of the most polluted rivers in India as well as in the world because of the high-density population growth and speedy industrialization. The Yamuna river is severely polluted and needs urgent revival. The Yam...

DOAJ Open Access (DOAJ) DOI: 10.3389/fenvs.2020.581591