State Estimation in Power Distribution Grids Using Deep Unfolding by Biswajeet Rout, Balasubramaniam Natarajan

“…Unlike model-agnostic neural networks (NNs), which are difficult to tune and train, the proposed model-based NN is created by “unfolding” the alternating direction method of multipliers (ADMM) solver. This article proposes two methods for state estimation: a purely data-driven approach called model-free DSSE network (MFDSSE-net) and a model-based DSSE network (MBDSSE-net) that incorporates network information by including the linearized power flow constraints into the optimization framework. …”
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A neural dynamics model prediction-based adaptive control system for AUV formation control by Jiwen ZHANG, Bo XU, Chuyan WANG, Zhaoyang WANG

“…Active and inhibitory sources are created to solve the local optimization problem of potential field methods. …”
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A Multimodal Large Language Model Framework for Intelligent Perception and Decision-Making in Smart Manufacturing by Tianyu Wang, Bowen Zhang, Daqi Jiang, Dong Li

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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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New Mellin-Based Estimation and GoF Criteria for the Beta-Weibull Model by J.M. Vasconcelos, R. J. Cintra, A. D. C. Nascimento

“…In general, although their asymptotic properties are well-defined, MLEs do not always assume closed-form and require the use of interactive optimization sources. In this paper, we propose a new estimation method based on log-cumulant (LC) expressions for the beta-Weibull (BW) distribution, an important beta-G model. …”
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Production of subtilisin proteases in bacteria and yeast by A. S. Rozanov, S. V. Shekhovtsov, N. V. Bogacheva, E. G. Pershina, A. V. Ryapolova, D. S. Bytyak, S. E. Peltek

“…Details are provided on the methods for expression optimization of industrial subtilases of various strains: the details of the most important parameters of cultivation, i. e., composition of the media, culture duration, and the inf luence of temperature and pH. …”
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A co-registered in-situ and ex-situ dataset from wire arc additive manufacturing process by Vladimir Orlyanchik, Jeffrey Kimmell, Zackary Snow, Amir Ziabari, Vincent Paquit

“…This method relies on AI/ML models and optimization techniques, which are developed using the data collected from various sources, including in-situ sensors, ex-situ imaging, and manufacturing process parameters. …”
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WEB SERVICE OF WORKS PLANNING USING NETWORK GRAPH by Інна Грод, Надія Балик, Ярослав Василенко, Сергій Мартинюк, Василь Олексюк, Ольга Барна

“…A feature of the created application is the solution to the problem of planning the implementation of complex works, involving network models, which simplifies the understanding of the model as a whole and provides optimization of the developed graph-based on mathematical methods. …”
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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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Clustering Analysis of the Energy Mix in Romania Using K-Means Algorithm by Cristina (Antohi) Barbu, Stefan-Mihai Petrea, Corina Sbughea, Cristina Gabriela Zamfir

“…Elbow and Silhouette methods are used to determine the optimal number of clusters. …”
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The Operation Strategy of a Multi-Microgrid Considering the Interaction of Different Subjects’ Interests by Siwen Wang, Hui Chen, Chunyang Gong, Yanfei Shang, Zhixin Wang

“…The microgrid is primarily concerned with achieving self-balancing between power sources, the network, loads, and storage. In decentralized multi-microgrid (MMG) access scenarios, the aggregation of distributed energy within a region enables the unified optimization of scheduling, which improves regional energy self-sufficiency while mitigating the impact and risks of distributed energy on grid operations. …”
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Monitoring Strategies in Information and Analytical Support of the Presidendcy in Times of War by Hlushchuk Yevheniia

“…The in effectiveness of the development of unified monitoring strategies is substantiated, taking into account the variability and constant changes in the dynamics of the information space associated with military operations, therefore a situational approach with a combination of appropriate methods is preferred.…”
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A Study of Resolution Improvement in Noncoherent Optical Coherence Imaging by Guoliang Yang, Junhong Su, Yuan Li, Jialin Cai, Yiren Li

“…Various techniques have emerged for recording holograms using incoherent light sources as technology has developed. A recording method has been proposed that exploits the correlation between the object wave information and the Fresnel band sheet to achieve incoherent hologram recording. …”
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Comparison of chamber beam geometry robustness to mispointing, imbalance and target offset for direct-drive laser fusion facilities by D. Viala, A. Colaïtis, D. Barlow, D. Batani

“…This study focuses on the optimization of beam chamber geometry designs for future direct-drive laser facilities. …”
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Advancements and trends in vehicle sound package for noise control: A comprehensive review by Yifeng Fu, Xiao Wang

“…To enhance vehicle sound package performance, both experimental and numerical methods, such as finite element analysis (FEA) and statistical energy analysis (SEA), artificial intelligence (AI)-driven optimization are employed in academic research, while the industrial development process often involves a more intricate and practical approach. …”
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Recent advances in photocatalytic degradation of persistent organic pollutants: Mechanisms, challenges, and modification strategies by Pavithra Swaminaathan, A. Saravanan, P.R. Yaashikaa, A.S. Vickram

“…Finally, this analysis calls for novel materials and optimization techniques to overcome existing constraints and enhance the effectiveness of POP removal, highlighting future directions for photocatalyst research.…”
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FEATURES OF THE STRUCTURE OF NEW GENERATION CONCRETE WITH THE USAGE OF ARTIFICIALLY-PRODUCED MATERIALS by A. D. Tolstoy, V. S. Lesovik, A. S. Milkina

“…The literary sources’ analysis was made in the scientific and technical library of the Belgorod State Technological University named after V. …”
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Assessment of the Solar Potential of Buildings Based on Photogrammetric Data by Paulina Jaczewska, Hubert Sybilski, Marlena Tywonek

“…The proposed algorithm enabled assessing the efficiency of photovoltaic panels and comparing the results of maps of the solar potential of buildings, as well as identifying the areas that require optimization. The results of the analysis, which had been conducted in the test areas in the village and on the campus of the university, confirmed the usefulness of the above proposed methods. …”
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Run-Time Elimination of Dead-Rules in Forward-Chaining Rule-Based Programs by Wael Mustafa

“…This paper presents an optimization method to improve execution time of forward-chaining rule based programs. …”
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