Electric Vehicle Routing with Time Windows and Charging Stations from the Perspective of Customer Satisfaction by Yasin Ünal, İnci Sarıçiçek, Sinem Bozkurt Keser, Ahmet Yazıcı

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Optimal Coverage Path Planning for Unmanned Surface Vehicles Using Flexible Formation Tracking Control by Minsung Park, Bo Woo Nam

“…The proposed method first divided the irregular target area into convex sub-regions using a convex decomposition, and the optimal visiting sequence was determined using a traveling salesman problem (TSP) approach with a genetic algorithm. Traditional back-and-forth search paths were then used for local coverage. …”
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Modeling of strike drone missions for conducting wave attacks in conditions of enemy anti-drone actions by Oleg Fedorovich, Dmytro Krytskyi, Mikhail Lukhanin, Oleksandr Prokhorov, Yuliia Leshchenko

“…A map of the air situation on the battlefield with a set of separate local zones that have different values of threat risks is formed. …”
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Multiple objectives escaping bird search optimization and its application in stock market prediction based on transformer model by Dedai Wei, Zimo Wang, Minyu Qiu, Juntao Yu, Jiaquan Yu, Yurun Jin, Xinye Sha, Kaichen Ouyang

“…Despite the availability of various forecasting methods, such as CNN, LSTM, BiLSTM, GRU, and Transformer, the hyperparameter optimization of these models often faces limitations, particularly in single-objective optimization, where they can easily fall into local optima. To address this issue, this paper proposes an innovative multi-objective optimization algorithm—the Multi-Objective Escape Bird Algorithm (MOEBS)—and introduces the MOEBS-Transformer architecture to enhance the efficiency and effectiveness of hyper-parameter optimization for Transformer models. …”
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Study on cooperative reactive voltage sensitivity control strategy of AVC substations in clustered offshore wind farm by XU Xian, ZHU Dandan, XU Xiaochun, WANG Dong, DAI Xin, WANG Yurong, YIN Xintong

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Feature extraction using sparse component decomposition for face classification by Hamid Reza Shahdoosti

“…The proposed algorithm has two steps.In the first step, the common information of the data matrix is extracted in a low rank matrix. …”
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Geo-Information Modeling for Determining the Movement of Human Capital by R. V. Fattakhov, P. V. Stroev, M. M. Nizamutdinov, O. V. Pivovarova, M. I. Akhmetzyanova

“…The relevance of the study is because of the uneven distribution of human capital, the high rate of its migration from underdeveloped regions and municipalities, and the insufficient effectiveness of the policy pursued by regional authorities and local self-government. The purpose of the research is to develop a GIS monitoring of the socio-economic attractiveness of municipalities to determine the movement of human capital. …”
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Protocol for interpretable and context-specific single-cell-informed deconvolution of bulk RNA-seq data by Daniele Malpetti, Francesca Mangili, Marco Bolis, Anna Rinaldi, David Legouis, Lorenzo Ruinelli, Pietro Cippà, Laura Azzimonti

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Modeling the Distribution and Richness of Mammalian Species in the Nyerere National Park, Tanzania by Goodluck Massawe, Enrique Casas, Wilfred Marealle, Richard Lyamuya, Tiwonge I. Mzumara, Willard Mbewe, Manuel Arbelo

“…Understanding the geographic distribution of mammal species is essential for informed conservation planning, maintaining local ecosystem stability, and addressing research gaps, particularly in data-deficient regions. …”
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Optimization of Medicinal Treatment of Patients with Glaucoma in Combination with Concurrent System Pathology. Part 1: Cardiovascular Pathology by A. N. Zhuravleva, M. V. Zueva, E. B. Shustov

“…The article discusses the multifactor nature of glaucoma, age factors, and the direction of local and systemic pathogenetic treatment, principles of the personified approach, and its feasibility. …”
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Residential Building Renovation Considering Energy, Carbon Emissions, and Cost: An Approach Integrating Machine Learning and Evolutionary Generation by Rudai Shan, Wanyu Lai, Huan Tang, Xiangyu Leng, Wei Gu

“…Compared to local ultra-low-energy building standards, the optimal solutions resulted in a 2.60% reduction in carbon emissions and a 15.85% decrease in life-cycle costs. …”
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Follow-up monitoring of second health status group persons with high and very high cardiovascular risk. Guidelines by O. M. Drapkina, L. Yu. Drozdova, P. V. Ipatov, A. M. Kalinina, E. S. Ivanova, R. N. Shepel, A. Sh. Senenko, M. G. Gambaryan, N. S. Karamnova, O. V. Lishchenko, E. D. Savchenko

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Integrating the landscape scale supports SAR-based detection and assessment of the phenological development at the field level by Johannes Löw, Steven Hill, Insa Otte, Christoph Friedrich, Michael Thiel, Tobias Ullmann, Christopher Conrad

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A Novel Method for Monitoring River Level Changes Under Bridges With Time Series SAR Images by Yifan Wang, Mofan Li, Gen Li, Zihan Hu, Zehua Dong, Han Li

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Corporate Real Estate alignment by Monique Arkesteijn

“…In the first pilot, the algorithm (step 5b) was not able to generate a local optimum because a subset of the alternatives was infeasible. …”
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Multi-layer control strategy to enhance the economy and stability of battery energy storage system in wind farms by Jiajie Xiao, Peiqiang Li, Zhiyu Mao, Hanbin Diao, Jintao Li, Chunming Tu

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METHODOLOGY OF COGNITIVE-DISCURSIVE MODELLING OF LITERARY TRANSLATION (case study of Ukrainian retranslations of W. Shakespeare’s tragedies of the 19th–21st centuries) by Yana V. Boiko

“…The translator’s decision to choose one or another translation strategy and local tactic in conditions of cognitive consonance or cognitive dissonance determines different degrees of cognitive proximity of the original and the translation: cognitive equivalence, cognitive analogy, and cognitive variance. …”
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Residual-conditioned sparse transformer for photoacoustic image artifact reduction by Xiaoxue Wang, Jinzhuang Xu, Chenglong Zhang, Moritz Wildgruber, Wenjing Jiang, Lili Wang, Xiaopeng Ma

“…By introducing residual prior information, our algorithm encodes and embeds it into local enhancement and detail recovery stages. …”
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Real time weed identification with enhanced mobilevit model for mobile devices by Xiaoyan Liu, Qingru Sui, Zhihui Chen

“…However, there is a short-fall in detailed research on optimizing models for weed identification with images from mobile embedded systems. …”
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Applying Remote Sensing to Assess Post-Fire Vegetation Recovery: A Case Study of Serra do Açor (Portugal) by Noah Wassner, Albano Figueiredo, Adélia N. Nunes

“…To quantify and classify cover changes, a supervised classification methodology based on the random forest algorithm was applied to Sentinel-2 data. The results showed no clear link between fire severity and recovery; instead, local factors like soil and topography, along with dominant pre-fire species, influenced recovery. …”
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