A Novel Back Propagation Neural Network Based on the Harris Hawks Optimization Algorithm for the Remaining Useful Life Prediction of Lithium-Ion Batteries by Yuyang Zhou, Zijian Shao, Huanhuan Li, Jing Chen, Haohan Sun, Yaping Wang, Nan Wang, Lei Pei, Zhen Wang, Houzhong Zhang, Chaochun Yuan

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Evolution of the Dynamics of Centennial Hot Summers in Western Europe With Climate Change by Robin Noyelle, Arnaud Caubel, Yann Meurdesoif, Davide Faranda, Pascal Yiou

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Evaluation of the impact of the distance determination function on the results of optimization of the geographical placement of renewable energy sources-based generation using a... by Andrei M. Bramm, Stanislav A. Eroshenko

“…The efficiency of metaheuristics depends on proper tuning of that methods hyperparameters, and high quality of big amount of meteorological and climatic data. The research of the effects of the calculation methods defining distance between agents of the algorithm on the optimization of renewable generation placement results is presented in this article. …”
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Enhanced multi-objective Evolutionary Mating Algorithm with improved crowding distance and Levy flight for optimizing comfort index and energy consumption in smart buildings by Muhammad Naim Bin Nordin, Mohd Herwan Sulaiman, Nor Farizan Zakaria, Zuriani Mustaffa

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High-Precision Trajectory-Tracking Control of Quadrotor UAVs Based on an Improved Crested Porcupine Optimiser Algorithm and Preset Performance Self-Disturbance Control by Junhao Li, Junchi Bai, Jihong Wang

“…Initially, this paper addresses the limited convergence efficiency of the traditional crowned pig algorithm (CPO) by introducing a dynamic time threshold mechanism and an adaptability-based directed elimination strategy to balance the algorithm’s global exploration and local development capabilities. …”
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Technical note: Applicability of physics-based and machine-learning-based algorithms of a geostationary satellite in retrieving the diurnal cycle of cloud base height by M. Wang, M. Min, J. Li, H. Lin, Y. Liang, B. Chen, Z. Yao, N. Xu, M. Zhang

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Effects of Simplified Antihypertensive Treatment Algorithm on Hypertension Management and Hypertension-Related Death in Resource-Constricted Primary Care Setting between 1997 and 2... by Mulalibieke Heizhati, Nanfang Li, Qiaoyan Shi, Xiaoguang Yao, Delian Zhang, Keming Zhou, Menghui Wang, Junli Hu, Gulinuer Duiyimuhan, Wen Jiang, Jing Hong, Le Sun

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Climate change impact on the distribution and priority areas for conservation of Sterculia setigera Delile in Benin, West Africa by Rissicath Foumilayo Djaboutou, Séverin Biaou, Gérard Nounagnon Gouwakinnou, Christine A. I. Nougbodé Ouinsavi

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Novel distance-fitness learning scheme for ameliorating metaheuristic optimization by Emre Çelik, Essam H. Houssein, Mahmoud Abdel-Salam, Diego Oliva, Ghanshyam G. Tejani, Nihat Öztürk, Sunil Kumar Sharma, Mohammed Baljon

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Legal Competence of a Teacher as a Necessary Condition for Effective Professional Activity by Angela CURACIȚCHI

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Passive Drag Reduction Optimization for Complex Commercial Vehicle Models by G. Liao, M. Xue, L. Yue, H. Yang, P. Guo, X. Hu, Z. Wang, T. Ma

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Research on Method for Intelligent Recognition of Deep-Sea Biological Images Based on PSVG-YOLOv8n by Dali Chen, Xianpeng Shi, Jichao Yang, Xiang Gao, Yugang Ren

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Mars Robot Puzzle (a Multiagent Approach to the Dijkstra Problem) by E. V. Bodin, N. O. Garanina, N. V. Shilov

“…In the paper we present a series of new multiagent algorithms solving the problem, prove (manually) their correctness, model check some of these algorithms, and discuss further research topics. …”
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An approach for teleseismic location by automatically matching depth phase by Jianlong Yuan, Huilian Ma, Jiashun Yu, Zixuan Liu, Shaojie Zhang

“…To deal with the low efficiency problem of accurate teleseismic hypocenter location, this paper proposes a fully automatic approach by integrating the advantages of Seismic-Scanning based on Navigated Automatic Phase-picking, which can automatically detect and locate seismic events from continuous waveforms, and the Depth-Scanning Algorithm, which can determine the precise focal depth of local and regional earthquakes by matching depth phases. …”
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Spine deformity board and the need for a multidisciplinary discussion of complex spine surgery cases: A proposal from the EANS young neurosurgeons committee by Luca Ricciardi, Stefan Motov, Gabriele Capo, Lorenzo Bertulli, Felix C. Stengel, Belo Diogo, Thomas Schoefl, Torstein R. Meling, Florian Ringel, Andreas K. Demetriades, Giovanni Raffa

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Optimizing dance motion reconstruction using a two-dimensional matrix approach with hybrid genetic and fuzzy logic differential evolution by Lin Wang, Yutong Liu, Yucong Geng, Mohammad Khishe

“…Existing techniques generally struggle to accommodate intricate, nonlinear motions and encounter issues such as parameter sensitivity or prematurely becoming stuck in local solutions. This research study addresses the challenges mentioned above by developing a more precise method for reconstructing human dance movements. …”
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Atopic Dermatitis in Children: Current Clinical Guidelines for Diagnosis and Therapy by Leyla S. Namazova-Baranova, Alexander A. Baranov, Anna A. Kubanova, Natalia I. Ilina, Olga M. Kurbacheva, Elena A. Vishneva, Gennadiy A. Novik, Fedor I. Petrovskii, Svetlana G. Makarova, Nikolai N. Murashkin, Anna A. Alekseeva, Liliia R. Selimzianova, Julia G. Levina, Kamilla E. Efendieva, Natalya I. Voznesenskaya

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Conceptual Approaches аnd the Program of Polimas-Stability Study of Migration of Foreign Students in Russia by N. A. Shchitova, V. S. Belozerov, I. A. Soloviev

“…In accordance with the logic of the developed concept, a program for studying the spatial features of the immigration of foreign students in Russia is presented. The step-by-step algorithm of the research program includes several stages, reflecting the nature and content of the main tasks to be solved.Conclusions. …”
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Research on Short-Term Load Forecasting of LSTM Regional Power Grid Based on Multi-Source Parameter Coupling by Bo Li, Yaohua Liao, Siyang Liu, Chao Liu, Zhensheng Wu

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Quantum Snowflake Algorithm (QSA): A Snowflake-Inspired, Quantum-Driven Metaheuristic for Large-Scale Continuous and Discrete Optimization with Application to the Traveling Salesma... by Zeki Oralhan, Burcu Oralhan

“…The Quantum Snowflake Algorithm (QSA) is a novel metaheuristic for both continuous and discrete optimization problems, combining collision-based diversity, quantum-inspired tunneling, superposition-based partial solution sharing, and local refinement steps. …”
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