Client Selection in Federated Learning on Resource-Constrained Devices: A Game Theory Approach by Zohra Dakhia, Massimo Merenda

“…Federated Learning (FL), a key paradigm in privacy-preserving and distributed machine learning (ML), enables collaborative model training across decentralized data sources without requiring raw data exchange. FL enables collaborative model training across decentralized data sources while preserving privacy. …”
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Division of Multi-harmonic Responsibilities Based on DBSCAN Clustering and Interval Regression by Shilong CHEN, Tao WU, Cheng GUO, Zirui ZHANG, Jinghao SUN

“…Finally, the equation parameter and the optimal sample division scheme are obtained with the PM algorithm-based interval linear regression method, and the harmonic responsibility in the medium and long term time scope is calculated on the basis of the constructed interval harmonic responsibility division. …”
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A Hybrid Mechanism to Detect DDoS Attacks in Software Defined Networks by ÙAfsaneh Banitalebi Dehkordi, MohammadReza Soltanaghaei, Farsad Zamani Boroujeni

“…Given the importance of this issue,the purpose of this paper is to increase the accuracy of DDoS attack detection using the second order correlation coefficient technique based on â…-entropy according to source IP and selection of optimal features.To select the best features, by examining the types of feature selection algorithms and search methods, the WrapperSubsetEval feature selection algorithm, the BestFirst search method, and the best effective features were selected. …”
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Economic Evaluation of the Investment in Sensor Equipment Based on Data Valuation in Prediction Model by Jeong-Gi Lee, Deok-Joo Lee

“…Through numerical experiments using real-world semiconductor manufacturing data, we demonstrate that sensor selection based on economic value can lead to significantly different outcomes compared to conventional methods. Our findings show the importance of considering both economic benefit and cost factors in sensor selection, particularly in applications involving multiple sensor clusters or heterogeneous data sources.…”
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COMPLICATIONS OF CONSERVATIVE AND SURGICAL TREATMENT OF FRACTURES OF THE MANDIBULAR CONDYLAR PROCESS (LITERATURE REVIEW) by I.M. Boichuk, A.V. Bambuliak

“…Materials and methods. The bibliosemantic method was used to clarify the state of the problem, to study the analysis of the results of previous scientific research based on the literature sources and electronic resources. …”
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Optimising sample preparation to enhance contrast-to-noise ratio in X-ray phase contrast tomography white matter (WM) imaging of the central nervous system by Michela Fratini, Michela Fratini, Lorenzo Massimi, Francesco Brun, Darren Batey, Inna Bukreeva, Alberto Mittone, Alberto Bravin, Elena Longo, Giuliana Tromba, Federico Giove, Federico Giove, Silvia Cipiccia, Alejandra Sierra

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The constitutional test of necessity: problem statement by A. V. Dolzhikov

“…Although this term is cumbersome, it more precisely defines the nature of constitutional litigation, where the admissibility of interference with fundamental rights is assessed.The purpose of the research is to argue that this element of proportionality implies the assessment of the least restrictive alternatives for the rights-holder in order to achieve the goal chosen by the legislator.The methodology of research includes the method of analogy. Accordingly, the analogical reasoning is used in constitutional adjudication when testing necessity of legislative measures, but not the methods of logical subsumtion or judicial balancing. …”
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Pseudo-class distribution guided multi-view unsupervised domain adaptation for hyperspectral image classification by Jingpeng Gao, Xiangyu Ji, Geng Chen, Yuhang Huang, Fang Ye

“…Unsupervised domain adaptation (UDA) has made great progress in cross-scene hyperspectral image (HSI) classification. Existing methods focus on aligning the distribution of source domain (SD) and target domain (TD). …”
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An integrated ecosystem monitoring technology for coal mining subsidence areas and its application in the Shendong mining area by Yang CHENG, Wei LIU, Na ZHANG, Guanjie LI, Kai LIU, Chengye ZHANG, Jun LI

“…BackgroundThe ecosystem monitoring of arid and semi-arid coal mining subsidence areas acts as a significant prerequisite for regional ecosystem conservation and management, holding critical significance for accelerating green mine construction. MethodsBased on the Chinese government's regulatory requirements for mine ecosystems, this study analyzed the difficulties in ecosystem monitoring in the coal mining subsidence area of the Shendong mining area (also referred to as the Shendong coal mining subsidence area). …”
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Performance Efficiency of an Energy-Saving Mini Dryer with a Combined Heat Supply System by Umudvar R. Gasanov, Sevil A. Magerramova

“…The paper presents the description and operating principle of energy-saving mini-grain dryers for drying small grain batches on farms using conductive and convective drying methods and the process of grain cooling with heat obtained from a traditional heat source and a heat carrier prepared with a solar collector or a charged heat storage. …”
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Modular Design and Layout Planning of Tooling Structures for Aircraft Assembly by Zhanghu Shi, Chengyu Li, Junshan Hu, Xingtao Su, Hancheng Wang, Wei Tian

“…A parametric representation of the multi-source information of tooling modules is proposed, and optimization methods for the layout and configuration of locators and platforms are developed using their parametric information. …”
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ANALYSIS OF FACTORS INFLUENCING THE IMPLEMENTATION OF NURSING SUPERVISION BY THE HEAD OF THE ROOM: A SCOPING REVIEW by Endang Nilaprapti, Lidia Hastuti, Wida Kuswida Bhakti

“…Objective: This research uses the Scoping review method Data Sources: In the search using data sources from Google Scholar, Scient Direct and Pubmed. …”
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The analysis of generative artificial intelligence technology for innovative thinking and strategies in animation teaching by Xu Yao, Yaozhang Zhong, Weiran Cao

“…Compared to traditional animation teaching methods, GAI technology introduces a novel pedagogical paradigm characterized by adaptive personalized learning pathways, intelligent teaching resource optimization, and immersive interactive learning models. …”
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Artificial Intelligence for DC Arc Fault Detection in Photovoltaic Systems: A Comprehensive Review by Kamal Chandra Paul, Disnebio Waldmann, Chen Chen, Yao Wang, Tiefu Zhao

“…Detecting these faults in DC circuits is challenging due to their subtle electrical signatures and the presence of noise from system and environmental sources. Traditional detection methods often fall short in terms of accuracy, prompting growing interest in artificial intelligence (AI)-based solutions. …”
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AHP-MOORA framework for longitudinal evaluation of Pharm.D program learning outcomes: a tool for Saudi pharmacy programs accreditation and curriculum enhancement by Sultan M. Alshahrani

“…This study aimed to establish a scalable framework for evaluating PLOs’ achievement under the National Commission for Academic Accreditation and Assessment (NCAAA) criteria.MethodsA mixed-methods methodology was utilized in a public pharmacy institution in Saudi Arabia. …”
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Resource Management Based on Security Satisfaction Ratio with Fairness-Aware in Two-Way Relay Networks by Jun Zhao, Zhaoming Lu, Xiangming Wen, Haijun Zhang, Shenghua He, Wenpeng Jing

“…We model the security resource management problem as a mixed integer programming problem, which is decomposed into three subproblems, distributed power allocation, distributed subchannel allocation, and distributed subchannel pairing, and then solved it in constraint particle swarm optimization (CPSO), binary CPSO (B_CPSO), and classic Hungarian algorithm (CHA) method, respectively. …”
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A neural network-based synthetic diagnostic of laser-accelerated proton energy spectra by Christopher J. G. McQueen, Robbie Wilson, Timothy P. Frazer, Martin King, Matthew Alderton, Ewan F. J. Bacon, Ewan J. Dolier, Thomas Dzelzainis, Jesel K. Patel, Maia P. Peat, Ben C. Torrance, Ross J. Gray, Paul McKenna

“…Abstract Machine learning can revolutionize the development of laser-plasma accelerators by enabling real-time optimization, predictive modeling and experimental automation. …”
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Refraction-Aware Structure from Motion for Airborne Bathymetry by Alexandros Makris, Vassilis C. Nicodemou, Evangelos Alevizos, Iason Oikonomidis, Dimitrios D. Alexakis, Anastasios Roussos

“…In this work, we introduce the first pipeline that combines a refraction-aware structure from motion (SfM) method with a deep learning model specifically designed for airborne bathymetry. …”
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Optimistic multi-granulation roughness of intuitionistic fuzzy ideals based on soft relations over dual universes by Shahida Bashir, Muhammad Shabir, Muhammad Zishan Anwar, Rabia Mazhar, Afraz Hussain Majeed, Ehab Ghith, Mehdi Tlija

“…This approach has potential impacts on fields like coding theory, automata theory, and cryptography, providing a flexible and robust method for handling imprecise data, where the use of optimization, and analysis in the industrial domain identify input data with uncertainty and vagueness and reachable multi-source information. …”
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Integracija toplotnih pumpi u postojeći energetski sistem u malim i srednjim preduzećima by Dubravka Živković, Davor Končalović, Vladimir Vukašinović, Mladen Josijević, Dušan Gordić

“…The introduced methodology can simplify the heat pump integration process, and the proposed method can be further extended to other industrial processes for low-grade waste heat recovery.…”
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