Edge-Assisted Label-Flipping Attack Detection in Federated Learning by Nourah S. AlOtaibi, Muhamad Felemban, Sajjad Mahmood

“…Extensive evaluation using three benchmark datasets shows that the proposed edge-assisted LFA detection framework outperforms traditional cloud-based methods. We demonstrate its superiority in latency, resource efficiency, and accuracy in detecting malicious clients, outperforming state-of-the-art defenses.…”
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Determinants of Banking Profitability in Angola: A Panel Data Analysis with Dynamic GMM Estimation by Eurico Lionjanga Cangombe, Luís Gomes Almeida, Fernando Oliveira Tavares

“…Banking concentration presents mixed effects, enhancing net interest income while potentially undermining efficiency. Economic growth supports profitability, whereas inflation exerts a negative influence. …”
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Design, Construction, and Evaluation of an Automatic Feeder Control System for Sugarcane Billet Planters by B. Abbasian, M. E. Khorasani Ferdavani, H. Zaki Dizaji

“…The load cell control method emerged as the most effective solution, successfully eliminating the need for operators while ensuring high standards of planting quality and efficiency. …”
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Optimizing forest stand aggregation in fragmented stands using graph convolutional networks: A case study in Japan by YangYu You, Hyun Bae Kim, Takuyuki Yoshioka

“…Japan’s forest sector faces persistent challenges due to fragmented land ownership and an increasingly skewed age-class structure, undermining not only management efficiency but also economic viability and long-term sustainability. …”
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Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach by Rahul Kumar Gupta, Asmaul Hassan, Samir Kumar Majhi, Nikhat Parveen, Abu Taha Zamani, Raju Anitha, Binayak Ojha, Abhinav Kumar Singh, Debendra Muduli

“…The outcomes highlight the model's proficiency in properly identifying fraudulent transactions while reducing false positives. The proposed method provides a viable alternative for secure and efficient credit card fraud detection in the contemporary digital economy, characterized by high accuracy and real-time scalability.…”
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Optimizing Medical IoT Disaster Management with Data Compression by Nunudzai Mrewa, Athirah Mohd Ramly, Angela Amphawan, Tse Kian Neo

“…This data overload makes processing and transmitting information efficiently a significant hurdle, potentially undermining the benefits of this union. …”
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Understanding the relationship: Financial inclusion's influence on bank stability in emerging economies by Shaoming Han, Cheng Qian, Nawal Abdalla Adam, Norboy Karimov, Wang Zhang

“…The findings reveal that financial inclusion generally enhances bank stability and positively influences operational efficiency and funding stability. However, during periods of lax financial regulations or excessive government intervention, banks may engage in riskier behaviors, potentially undermining stability. …”
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Comparative analysis of machine learning algorithms for money laundering detection by Sunday Adeola Ajagbe, Simphiwe Majola, Pragasen Mudali

“…The findings underscore the potential of ML algorithms capability to combat money laundering and indeed enhance anti-money efforts and offer financial institutions a powerful, resource-efficient method for fraud detection in large-scale transaction environments.…”
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Research on Mobile Agent Path Planning Based on Deep Reinforcement Learning by Shengwei Jin, Xizheng Zhang, Ying Hu, Ruoyuan Liu, Qing Wang, Haihua He, Junyu Liao, Lijing Zeng

“…For mobile agent path planning, traditional path planning algorithms frequently induce abrupt variations in path curvature and steering angles, increasing the risk of lateral tire slippage and undermining operational safety. Concurrently, conventional reinforcement learning methods struggle to converge rapidly, leading to an insufficient efficiency in planning to meet the demand for energy economy. …”
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Methodology and Application of Adaptive and Sequential Approaches in Contemporary Clinical Trials by Zhengjia Chen, Yichuan Zhao, Ye Cui, Jeanne Kowalski

“…The application of adaptive and sequential methods in clinical trials has significantly improved the flexibility, efficiency, therapeutic effect, and validity of trials. …”
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Transparent and Privacy-Preserving Mobile Crowd-Sensing System with Truth Discovery by Ruijuan Jia, Juan Ma, Ziyin You, Mingyue Zhang

“…Furthermore, theoretical analysis and extensive experiments demonstrate that this scheme is secure and efficient.…”
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The Validity of Cryptocurrency Transactions and the Analysis of Associated Disputes by Hossein Qahari, Javad Hosseinzadeh

“…Introduction The complex economic relations in the current era increasingly demand the provision of efficient, rational, and comprehensive legal norms. …”
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Reconciling fiscal decentralization, environmental protection expenditures, and stringent regulations with the ecological priorities of the European Union by Elma Satrovic, Oluwatoyin Abidemi Somoye, Banji Rildwan Olaleye, Joseph Nembo Lekunze

“…In addition, import diversification also spurs environmental sustainability, with more substantial impacts on less energy and carbon–efficient nations. Furthermore, the MMQR outcomes divulged that fiscal decentralization (all indicators) endorsed the environmental deterioration of EU members, undermining the achievement of ecological urgencies. …”
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Good Governance and Seigniorage in a Selected OPEC Countries and Iran by ALI Rashid Shamkhal, Kambiz Paykarjou, beitollah Akbari Moghaddam

“…Good governance has several positive effects on government revenues and efficiency. While the use of seigniorage may initially appear as a natural right of governments, if it leads to a faster growth rate of money compared to economic growth, it can result in inflation and impose inflationary taxes. …”
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TSAS—YOLOv8: An Optimization Detection Model for Capturing Small Target Features and Processing Key Information by Yongbo Yuan, Linlin Cao

“…To address this issue, we propose the TSAS-YOLOv8 method. This method defines the T-CMUNeXt module and introduces a new Backbone structure based on this module, leveraging its multi-scale feature fusion advantage to capture the subtle features of small targets. …”
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Research on pedestrian detection technology for mining unmanned vehicles by ZHOU Libing, YU Zhengqian, WEI Jianjian, JIANG Xueli, YE Baisong, ZHAO Yexin, YANG Siliang

“…The working environment of mining unmanned vehicles features complex lighting conditions, leading to frequent occurrences of missed detections in pedestrian detection, which undermines the reliability and safety of these vehicles. …”
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Prospects and Challenges of Green Practices Adoption by Manufacturing Companies in Ogun State, Nigeria by SOLAJA Oludele Mayowa

“…The quantitative data were analyzed using descriptive statistical method while the qualitative data were analyzed using qualitative content analysis. …”
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Quantum State Estimation for Real-Time Battery Health Monitoring in Photovoltaic Storage Systems by Dawei Wang, Liyong Wang, Baoqun Zhang, Chang Liu, Yongliang Zhao, Shanna Luo, Jun Feng

“…The growing deployment of photovoltaic (PV) and energy storage systems (ESSs) in power grids has amplified concerns over component degradation, which undermines efficiency, increases costs, and shortens system lifespan. …”
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AI meets academia: the fire model's vision for enhanced learning by Nancy Mohamed Afifi

“…AI's capacity to generate complex written outputs poses significant challenges to traditional evaluation methods and potentially undermines the development of critical thinking. …”
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Risk of AI Algorithmic Discrimination Embedded in Government Data Governance and Its Prevention and Control by PENG Lihui, ZHANG Qiong, LI Tianyi

“…Through systematic analysis, this study aims to reveal the potential risks of AI algorithms in government data governance, especially the causes and manifestations of algorithmic discrimination, and then it proposes effective solutions to protect citizens' legitimate rights and interests from being violated, and to maintain government credibility and social justice. [Method/Process] This study adopts the literature induction method to extensively collect domestic and international related data on the application of AI in government data governance, including academic papers, policy documents, and case studies. …”
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