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Showing 20 of 626 academic articles

The JWST Resolved Stellar Populations Early Release Science Program. VIII. The Spatially Resolved Star Formation History of WLM

Roger E. Cohen, Kristen B. W. McQuinn, Alessandro Savino, Max J. B. Newman et al. • The Astrophysical Journal (2025)

Radial stellar population gradients within dwarf galaxies provide a promising avenue for disentangling the drivers of galaxy evolution, including environment. Within the Local Volume, radial stellar age gradient slopes correlate with intera...

DOAJ Open Access (DOAJ) DOI: 10.3847/1538-4357/adb61d

Combined Effect of the Parameters of Vacuum Interrupter and L-C Circuit Upon Arc Re-Ignition in HVDC Circuit Breakers

Tamer Eliyan, Ali Saeed Almuflih, Z. M. S. Elbarbary, Fady Wadie • IEEE Access (2024)

The new horizons for HVDC systems and their applications has intensified the research in HVDC protection systems. The HVDC circuit breakers (CB) has been the center of the protection systems with vacuum interrupters (VIs) showcasing a great...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3450189

Development and Control of an Innovative Underwater Vehicle Manipulator System

Xinhui Zheng, Qiyan Tian, Qifeng Zhang • Journal of Marine Science and Engineering (2023)

Recently, as humans have become increasingly interested in ocean resources, underwater vehicle-manipulator systems (UVMSs) have played an increasingly important role in ocean exploitation. To realize precise operation in underwater narrow s...

DOAJ Open Access (DOAJ) DOI: 10.3390/jmse11030548

Enhancing Communication Security in Drones Using QRNG in Frequency Hopping Spread Spectrum

J. de Curtò, I. de Zarzà, Juan-Carlos Cano, Carlos T. Calafate • Future Internet (2024)

This paper presents a novel approach to enhancing the security and reliability of drone communications through the integration of Quantum Random Number Generators (QRNG) in Frequency Hopping Spread Spectrum (FHSS) systems. We propose a mult...

DOAJ Open Access (DOAJ) DOI: 10.3390/fi16110412

A Secure, Intelligent, and Smart-Sensing Approach for Industrial System Automation and Transmission over Unsecured Wireless Networks

Aamir Shahzad, Malrey Lee, Neal Naixue Xiong, Gisung Jeong et al. • Sensors (2016)

In Industrial systems, Supervisory control and data acquisition (SCADA) system, the pseudo-transport layer of the distributed network protocol (DNP3) performs the functions of the transport layer and network layer of the open systems interc...

DOAJ Open Access (DOAJ) DOI: 10.3390/s16030322

SIMULATION OF INFORMATION SECURITY RISKS OF AVAILABILITY OF PROJECT DOCUMENTS BASED ON FUZZY LOGIC

Oleksii M. Shushura, Liudmyla A. Asieieva, Oleksiy L. Nedashkivskiy, Yevhen V. Havrylko et al. • Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska (2022)

The widespread use of computer technology, its rapid development and use in almost all areas of human activity requires constant updating of information security issues. The activities of many enterprises in the field of IT, construction, a...

DOAJ Open Access (DOAJ) DOI: 10.35784/iapgos.3033

A study on process information-driven cyber threat detection for I&C systems in NPP

Jae Hwan Kim, Kwang Seop Son, Jae Gu Song, Yong Gu Lee et al. • Nuclear Engineering and Technology (2026)

The increasing digitalization of Instrumentation and Control (I&C) systems in Nuclear Power Plants (NPPs) has improved operational efficiency while introducing cybersecurity vulnerabilities. Conventional network-based intrusion detection sy...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.net.2025.103879

A Deep Backtracking Bare‐Bones Particle Swarm Optimisation Algorithm for High‐Dimensional Nonlinear Functions

Jia Guo, Guoyuan Zhou, Ke Yan, Yi Di et al. • CAAI Transactions on Intelligence Technology (2025)

ABSTRACT The challenge of optimising multimodal functions within high‐dimensional domains constitutes a notable difficulty in evolutionary computation research. Addressing this issue, this study introduces the Deep Backtracking Bare‐Bones P...

DOAJ Open Access (DOAJ) DOI: 10.1049/cit2.70028

Prioritized replay dueling double DQN for intelligent task scheduling in IoT Fog Cloud computing

Naima Jawhar, Adnane Talha, Anas Bouayad • Discover Artificial Intelligence (2026)

Abstract Task scheduling remains a challenge in IoT-Fog-Cloud systems due to dynamic workloads and heterogeneous resources. Ineffective scheduling strategies increase latency, energy consumption, and Service Level Agreement (SLA) violations...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-02614-0

Mobile learning for less-commonly taught languages: design and application

Tang Jinlan, Zhai Yuming, Li Lingxiao, Liu Peixin et al. • Journal of China Computer-Assisted Language Learning (2024)

The increasing development of emerging technologies contributes to ubiquitous and personalized language learning. Hence this study reported a project of designing and applying mobile learning for a less-commonly taught language, Fijian lang...

DOAJ Open Access (DOAJ) DOI: 10.1515/jccall-2024-0006

Video-Based Deep Learning Approach for 3D Human Movement Analysis in Institutional Hallways: A Smart Hallway

Connor J. C. McGuirk, Natalie Baddour, Edward D. Lemaire • Computation (2021)

New artificial intelligence- (AI) based marker-less motion capture models provide a basis for quantitative movement analysis within healthcare and eldercare institutions, increasing clinician access to quantitative movement data and improvi...

DOAJ Open Access (DOAJ) DOI: 10.3390/computation9120130

Computer Vision Techniques in Manufacturing

Longfei Zhou, Zhang Li, Nicholas Konz • IEEE Transactions on Systems Man and Cybernetics Systems (2022)

Computer vision techniques have played an important role in promoting the informatization, digitization and intelligence of industrial manufacturing systems. Considering the rapid development of computer vision techniques, we present a comp...

OPENALEX Open Access DOI: https://doi.org/10.1109/tsmc.2022.3166397

Gestalt Theory and Computer Vision

Agnès Desolneux, Lionel Moisan, Jean‐Michel Morel • Kluwer Academic Publishers eBooks (2006)

In the Wertheimer programme there are two kinds of organizing laws. The rst kind are grouping laws which, starting from atomic and local data, recursively construct larger groups in the perceived image. Each grouping law focuses on a single...

OPENALEX DOI: https://doi.org/10.1007/1-4020-2081-3_4