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Enhancing Organizational Performance: Synergy of Cyber-Physical Systems, Cloud Services, and Crowdsensing

International Journal of Crowd Science 2025年第1期9卷 44-55页

作者： Al-Qerem, Ahmad Ali, Ali Mohd Nabot, Ahmad Jebreen, Issam Alauthman, Mohammad Alangari, Someah Aburub, Faisal Aldweesh, Amjad Computer Science Department Faculty of Information Technology Zarqa University Zarqa13110 Jordan Communications and Computer Engineering Department Faculty of Engineering Al-Ahliyya Amman University Amman19328 Jordan Department of Information Security University of Petra Amman11196 Jordan Department of Computer Science College of Science and Humanities Dawadmi Shaqra University Shaqra11911 Saudi Arabia Department of Business Intelligence and Data Analytics University of Petra Amman11196 Jordan College of Computing and Information Technology Shaqra University Shaqra11911 Saudi Arabia

In the contemporary business landscape, software has evolved into a strategic asset crucial for organizations seeking sustainable competitive advantage. The imperative of ensuring software quality becomes evident as low-quality software systems pose formidable challenges to organizational performance. This study delves into the profound impact of three key dimensions of information system quality on organizational performance—information quality (IQ), quality of service (QoS), and software quality (SQ). Anchored in the DeLone and McLean information system (IS) success model, a quantitative questionnaire was administered to 360 industry experts and academics. Rigorous data analysis, employing exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM), revealed significant positive effects of all three quality dimensions on organizational performance. Among these dimensions, software quality emerged as the most influential, showcasing substantial total effects, closely followed by information and service qualities. The study underscores the tangible value derived from strategic investments in enhancing software, information, and service quality. Elevating these facets manifests as a catalyst for improved organizational performance, empowering decision-makers with accurate and timely information while enhancing user satisfaction with the system. This research contributes significantly to the IS success literature by empirically validating the synergistic relationship between information quality, service quality, software quality, and organizational outcomes. The systematic analysis offered in this study goes beyond theoretical validation, providing actionable insights for managers. The findings guide the prioritization of quality initiatives and resource allocation, enabling organizations to maximize competitive advantage. As a future research direction, investigating moderator influences and exploring alternate qualit

关键词： Data quality

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Polyp image segmentation based on improved planet optimization algorithm using reptile search algorithm

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Neural computing and Applications 2025年第8期37卷 6327-6349页

作者： Abd Elaziz, Mohamed Al-qaness, Mohammed A. A. Al-Betar, Mohammed Azmi Ewees, Ahmed A. Department of Mathematics Faculty of Science Zagazig University Zagazig Egypt College of Physics and Electronic Information Engineering Zhejiang Normal University Jinhua321004 China Zhejiang Institute of Optoelectronics Jinhua321004 China Faculty of Computer Science and Engineering Galala University Suze435611 Egypt Ajman University Ajman346 United Arab Emirates College of Computing and Information Technology University of Bisha Bisha Saudi Arabia Department of Computer Damietta University Damietta Egypt Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman Jordan

To recognize the potential for colon polyps to develop into cancer over time, early diagnosis is crucial for preventative healthcare. Timely identification significantly improves the prognosis and treatment outcomes for colorectal cancer patients. Image segmentation is crucial in medical image analysis for accurate diagnosis and treatment planning. Therefore, in this study, we present an alternative multilevel thresholding polyp segmentation method (MPOA) to enhance the segmentation of polyp images. The proposed method is based on enhancing the planet optimization algorithm (POA) by integrating operators from the reptile search algorithm (RSA). The evaluation of the developed MPOA is tested with different polyp images and compared with other image segmentation approaches. The results highlight the superior capability of MPOA, as evidenced by various performance measures in effectively segmenting polyp images. Furthermore, metrics such as peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and fitness values demonstrate that MPOA outperforms the basic version of POA and other methods. The evaluation outcomes underscore the significant impact of RSA in enhancing the performance of POA for the segmentation of polyp images. © The Author(s) 2025.

关键词： Diseases

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Quantum Attacks on Blockchain and Mitigation Strategies

Quantum Attacks on Blockchain and Mitigation Strategies

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International Conference on Trends in Electronics and Informatics (ICEI)

作者： Ranjani M Shivam Pandey Akshay Gattani Ankit Choudhary Mridul Gupta Sandhia G K Department of Computing Technologies Faculty of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Department of Computing Technologies SRM Institute of Science and Technology Kattankulathur

ISBN: (数字)9798331544607

ISBN: (纸本)9798331544614

While blockchain technologies represent a huge leap forward in the development of secure and decentralized systems, the emergence of quantum computing could pose challenges to this progress. The basic mechanism behind blockchain technology is a form of secure cryptography based on two enormous prime numbers-simple, yes, but certainly not easy-whose product is also a very large number. This is a simple multiplication for a quantum computer, and in our near future, we could crack the kind of encryption that secures blockchain using a quantum computer.

关键词： Technological innovation Quantum computing Prevention and mitigation Organizations Market research Blockchains Encryption Quantum key distribution Informatics

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Detecting Advanced Persistent Threat Exfiltration with Ensemble Deep Learning Tree Models and Novel Detection Metrics

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IEEE Access 2025年 13卷 81803-81822页

作者： Cai, Xiaojuan Zhang, Haibo Ahmed, Chuadhry Mujeeb Koide, Hiroshi Kyushu University Faculty of Information Science and Electrical Engineering Department of Information Science and Technology Fukuoka819-0395 Japan Kyushu Institute of Technology Faculty of Computer Science and Systems Engineering Department of Artificial Intelligence Fukuoka Iizuka820-8502 Japan Newcastle University School of Computing Secure and Resilient Systems Group Newcastle upon TyneNE1 7RU United Kingdom Kyushu University Section of Cyber Security for Information Systems Research Institute for Information Technology Fukuoka819-0395 Japan

Advanced Persistent Threats (APTs) involve attackers maintaining a long-term presence on victim systems, leading to the stealthy exfiltration of sensitive data during network transfers. Despite existing methods to detect and halt APT data exfiltration, these attacks continue to pose significant threats to sensitive information and result in substantial commercial losses. Current approaches primarily focus on preemptive measures, which are insufficient once early-stage detection fails due to a lack of continuous monitoring. We propose an effective and efficient network monitoring method to address this gap and detect APT exfiltration during data transfer. Our approach assumes the presence of an undetected APT attacker within the victim system. We examine data exfiltration across three exfiltration traffic environments: exfiltration over command control channels, exfiltration over transfer size limitations, and their combinations. We introduce two detection metrics: Package Transfer Rate and Byte Transfer Rate. Utilizing these metrics, we measure network traffic, categorize APT attack environments, and train deep neural network models, named EDXGB, using ensembled decision trees to predict APT exfiltration. Our method is validated on two public datasets and compared against six baseline methods. Additionally, we simulate real-world exfiltration scenarios by creating three exfiltration traffic environments for each dataset. The results demonstrate that our method effectively detects APT exfiltration across various network environments, enhancing data protection and secure transfer. The code is open source and available at https://***/cxjuan/EDXGB-for-APT. © 2013 IEEE.

关键词： Sensitive data

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Influence of the grain chemical composition on the fused silica polishing at atomic scale using molecular dynamic simulations

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Ceramics International 2025年第7期51卷 9278-9291页

作者： Ahuir-Torres, Juan I. Chen, Xun Akar, Yasemin Bingham, Paul A. Jackson, Frankie F. Li, Hongyu Mason, Luke Mishra, Rakesh Walker, David D. Yu, Guoyu General Engineering Research Institute Faculty of Engineering and Technology Liverpool John Moores University GERI Building 3 Byrom Street Merseyside LiverpoolL3 3AF United Kingdom Faculty of Engineering and Physical Sciences School of Mechanical Engineering University of Leeds Woodhouse LeedsLS2 9JT United Kingdom College of Business Technology and Engineering Sheffield Hallam University City Campus Howard Street South Yorkshire SheffieldS1 1WB United Kingdom Department of Engineering and Technology School of Computing and Engineering University of Huddersfield West Yorkshire HuddersfieldHD1 3DH United Kingdom SciTech Daresbury National Science & Innovation Campus University of Huddersfield Laboratory for Ultra Precision Surface G6 TechSpace One Keckwick Lane Merseyside DaresburyWA4 4AB United Kingdom Scientific Computing Department Science and Technology Facilities Council North Star Avenue Wiltshire SwindonSN2 1SZ United Kingdom

关键词： Fused silica

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Modification of the PSO Algorithm: Variable Population Size and Hybridization with the Nelder-Mead Method 24

Modification of the PSO Algorithm: Variable Population Size ...

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24th International Symposium INFOTEH-JAHORINA, INFOTEH 2025

作者： Topalov, Stefan Radović, Mirna University of Novi Sad Faculty of Technical Sciences Department of Computing and Control Engineering Novi Sad Serbia

ISBN: (纸本)9798331515799

This paper presents a modified Particle Swarm Optimization (PSO) algorithm designed to enhance computational efficiency without compromising solution quality. Two approaches are proposed: the first emphasizes the advantages of incorporating a variable population size to optimize both computational efficiency and solution quality. The second integrates this adaptive population strategy with the Nelder-Mead method to refine local search capabilities. By combining these techniques, the hybrid algorithm achieves a balance between global exploration and local exploitation, while also improving the algorithm's speed without sacrificing solution quality. The performance of both approaches is evaluated through numerical experiments, demonstrating their ability to deliver high-quality solutions with reduced computational resources. © 2025 IEEE.

关键词： Local search (optimization)

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Design of adaptive controllers by means of PPO algorithm using MATLAB

Design of adaptive controllers by means of PPO algorithm usi...

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International Symposium on INFOTEH-JAHORINA (INFOTEH)

作者： Veljko Radojičić Milan R. Rapaić Department of Computing and Control Engineering Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia

ISBN: (数字)9798331515799

ISBN: (纸本)9798331515805

This paper investigates reinforcement learning (RL) as a practical framework for achieving optimal adaptive control across several simple dynamical system models. All experiments were conducted using the Proximal Policy Optimization (PPO) algorithm, implemented within the MATLAB Reinforcement Learning Toolbox. The primary focus of this study is to explore how the learning process can be empirically designed to sufficiently excite the system dynamics and obtain a sufficiently robust controller.

关键词： Adaptation models System dynamics Heuristic algorithms Process control Reinforcement learning MATLAB Dynamical systems Adaptive control Optimization

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Sustainable humanitarian energy transitions: a review of interventions and challenges

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SN Social Sciences 2025年第5期5卷 1-26页

作者： Elasu, Joseph Wabukala, Benard M. Atuhaire, Ruth Olupot, Charles Atukunda, Ronnette Ntayi, Joseph M. Orobia, Laura A. Adaramola, Muyiwa S. Faculty of Economics Energy and Management Sciences Makerere University Business School Plot 21A New Portbell Road Kampala Uganda Faculty of Computing and Informatics Makerere University Business School Plot 21A New Portbell Road Kampala Uganda Faculty of Commerce Makerere University Business School Plot 21A New Portbell Road Kampala Uganda Faculty of Environmental Sciences and Natural Resources Management Norwegian University of Life Sciences Ås 1430 Norway Department of Mechanical Production and Energy Engineering School of Engineering Moi University Eldoret Kenya

Over 89 million people are forcefully displaced and are living as refugees away from their homes. Humanitarian energy is registered as one of the critical needs affecting both the refugees and host communities. The study aimed to comprehensively review existing literature to identify the definitions of humanitarian energy, the interventions, and the barriers to scaling such interventions. The study adopted a systematic literature approach to identify, evaluate, and select primary journal articles and grey literature using pre-determined inclusion and exclusion criteria. In so doing, the right articles were identified and included for synthesis in the study. The review identified several definitions of humanitarian energy. interventions and barriers to the scaling up of the interventions. We recommended that organizations operating in humanitarian energy create partnerships rather than working in isolation. In addition, there is a need to provide programmes that build the humanitarian energy providers’ and the refugees’ capacity. © The Author(s) 2025.

关键词： Energy transitions Host communities Humanitarian energy Refugees Sustainable energy transitions

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Design of adaptive controllers by means of PPO algorithm using MATLAB 24

Design of adaptive controllers by means of PPO algorithm usi...

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24th International Symposium INFOTEH-JAHORINA, INFOTEH 2025

作者： Radojičić, Veljko Rapaić, Milan R. University of Novi Sad Faculty of Technical Sciences Department of Computing and Control Engineering Novi Sad Serbia

ISBN: (纸本)9798331515799

关键词： Self adjusting control systems

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Modification of the PSO Algorithm: Variable Population Size and Hybridization with the Nelder-Mead Method

Modification of the PSO Algorithm: Variable Population Size ...

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International Symposium on INFOTEH-JAHORINA (INFOTEH)

作者： Stefan Topalov Mirna Radović Department of Computing and Control Engineering Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia

ISBN: (数字)9798331515799

ISBN: (纸本)9798331515805

This paper presents a modified Particle Swarm Optimization (PSO) algorithm designed to enhance computational efficiency without compromising solution quality. Two approaches are proposed: the first emphasizes the advantages of incorporating a variable population size to optimize both computational efficiency and solution quality. The second integrates this adaptive population strategy with the Nelder-Mead method to refine local search capabilities. By combining these techniques, the hybrid algorithm achieves a balance between global exploration and local exploitation, while also improving the algorithm’s speed without sacrificing solution quality. The performance of both approaches is evaluated through numerical experiments, demonstrating their ability to deliver high-quality solutions with reduced computational resources.

关键词： Heuristic algorithms Stochastic processes Switches Linear programming Robustness Computational efficiency Optimization Standards Tuning Convergence

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