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Showing 13 of 813 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

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

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

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

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

Developments and future prospects of personalized medicine in head and neck squamous cell carcinoma diagnoses and treatments

Shalindu Malshan Jayawickrama, Piyumi Madhushani Ranaweera, Ratupaskatiye Gedara Gunaratnege Roshan Pradeep, Yovanthi Anurangi Jayasinghe et al. • Cancer Reports (2024)

Abstract Background Precision healthcare has entered a new era because of the developments in personalized medicine, especially in the diagnosis and treatment of head and neck squamous cell carcinoma (HNSCC). This paper explores the dynamic...

DOAJ Open Access (DOAJ) DOI: 10.1002/cnr2.2045

Integrating Merkle Trees with Transformer Networks for Secure Financial Computation

Xinyue Wang, Weifan Lin, Weiting Zhang, Yiwen Huang et al. • Applied Sciences (2024)

In this paper, the Merkle-Transformer model is introduced as an innovative approach designed for financial data processing, which combines the data integrity verification mechanism of Merkle trees with the data processing capabilities of th...

DOAJ Open Access (DOAJ) DOI: 10.3390/app14041386

When Math Hurts: Math Anxiety Predicts Pain Network Activation in Anticipation of Doing Math

Ian M. Lyons, Sian Leah Beilock • PLoS ONE (2012)

Math can be difficult, and for those with high levels of mathematics-anxiety (HMAs), math is associated with tension, apprehension, and fear. But what underlies the feelings of dread effected by math anxiety? Are HMAs' feelings about math m...

OPENALEX cc-by DOI: https://doi.org/10.1371/journal.pone.0048076 PMC: 3485285

Research on pH Value Detection Method during Maize Silage Secondary Fermentation Based on Computer Vision

Xianguo Ren, Haiqing Tian, Kai Zhao, Dapeng Li et al. • Agriculture (2022)

pH value is a crucial indicator for evaluating silage quality. In this study, taking maize silage as the research object, a quantitative prediction model of pH value change during the secondary fermentation of maize silage was constructed b...

DOAJ Open Access (DOAJ) DOI: 10.3390/agriculture12101623

InsDD-YOLO: Detection of Transmission Line Insulator Damage Based on the Improved YOLOv13 Model

Phat T. Nguyen, Duy C. Huynh, Loc D. Ho, Ha T. Tran et al. • IEEE Access (2025)

Amidst the rapid global expansion of smart grids, ensuring the safety and reliability of power transmission systems has become paramount. Insulators are critical components of high-voltage transmission lines, providing both electrical insul...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3648259