A Multi‐Objective Molecular Generation Method Based on Pareto Algorithm and Monte Carlo Tree Search by Yifei Liu, Yiheng Zhu, Jike Wang, Renling Hu, Chao Shen, Wanglin Qu, Gaoang Wang, Qun Su, Yuchen Zhu, Yu Kang, Peichen Pan, Chang‐Yu Hsieh, Tingjun Hou

“…Numerical experiments demonstrate PMMG's superior performance, achieving a remarkable success rate of 51.65% in simultaneously optimizing seven objectives, outperforming current state‐of‐the‐art algorithms by 2.5 times. …”
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A new algorithm for automating power supply of an AC traction network with a sectioning points on switches by L. A. German, A. Yu. Popov, A. V. Samorukov, D. V. Ishkin, D. V. Yakunin, K. S. Subkhanverdiev

“…The paper describes the existing algorithm for automating power supply of an AC traction network (the normal reclosing algorithm) and indicates the unfavorable consequences from its application, in particular, related to the long time of the absence of voltage in the contact network. …”
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Inversion of Crop Water Content Using Multispectral Data and Machine Learning Algorithms in the North China Plain by Zhenghao Zhang, Gensheng Dou, Xin Zhao, Yang Gao, Saisai Liu, Anzhen Qin

“…Five machine learning (ML) algorithms (i.e., MLR, RF, PLSR, ElasticNet, and ridge regression) were adopted to estimate the crop water content of winter wheat at the three growth stages. …”
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Balancing accuracy and convergence rate: a hybrid optimisation algorithm for parameter identification of unmanned marine vehicles by Zheng Li, Caoyang Yu, Yiming Zhong, Yuanju Cao, Xianbo Xiang, Lian Lian

“…Secondly, the proposed NMA algorithm integrates the Adam algorithm to guide the search of the Nelder-Mead (NM) simplex algorithm. …”
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Toward Sustainable Campus Energy Management: A Comprehensive Review of Energy Management, Predictive Algorithms, and Recommendations by Noor Islam Jasim, Saraswathy Shamini Gunasekaran, Nouar AlDahoul, Ali Najah Ahmed, Ahmed El-Shafie, Mohsen Sherif, Moamin A Mahmoud

“…Additionally, the limitations of current systems, which offer only short-term solutions, become evident over time. …”
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Tropical Cyclones Across Global Basins: Dynamics, Tracking Algorithms, Forecasting, and Emerging Scientometric Research Trends by Vivek Singh, Gaurav Tiwari, Amarendra Singh, Rajeeb Samanta, Atul Kumar Srivastava, Deewan Singh Bisht, Ashish Routray, Sushil Kumar, Shivaji Singh Patel, Abhishek Lodh

“…Notably, research since 2019 highlights a shift toward machine‐based algorithms aimed at improving intensity predictions. …”
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Distributed hybrid energy storage photovoltaic microgrid control based on MPPT algorithm and equilibrium control strategy by Yanlong Qi, Rui Liu, Haisheng Lin, Junchen Zhong, Zhen Chen

“…To improve the stability and system controllability of photovoltaic microgrid output, this study constructs an optimized grey wolf optimization algorithm. Using the idea of small step perturbation, it is applied to the maximum power point tracking solar controller to construct a maximum power point controller algorithm based on the improved algorithm. …”
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An Efficient Path Planning Algorithm Based on Delaunay Triangular NavMesh for Off-Road Vehicle Navigation by Ting Tian, Huijing Wu, Haitao Wei, Fang Wu, Jiandong Shang

“…Although the algorithms are currently constrained by the limited data accessibility reflecting real-time transportation status, these findings highlight the generalizability and efficiency of the proposed off-road path-planning algorithm, which is useful for path-planning solutions for emergency operations, wilderness adventures, and mineral exploration.…”
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Investigation on Three-Hump Phosphor-Coated White Light-Emitting Diodes for Healthy Lighting by Genetic Algorithm by Ziquan Guo, Kai Liu, Lili Zheng, Tien-mo Shih, Yijun Lu, Tingzhu Wu, Yi Lin, Yuxue Zhang, Jianghui Zheng, Jie Chen, Lianxin Chen, Zhong Chen

“…In this paper, we carry out the theoretical spectral optimization and perform experiments by varying temperature and electrical current primarily on one-phosphor-coated three-hump white light-emitting diode (LED) for healthy indoor or outdoor lighting by using the genetic algorithm (GA). …”
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Multiple Sclerosis Disease-Modifying Treatment Algorithms: 2025 Positioning of the Portuguese Multiple Sclerosis Study Group by Carlos Capela, Ernestina Santos, Filipe Palavra, Joana Guimarães, João Cerqueira, José Vale, Lívia Sousa, Sónia Batista, Maria José Sá

“…The aim of this manuscript is to highlight gaps in current Portuguese MS treatment algorithms and propose enhancements aligned with global standards, thus improving treatment selection and patient outcomes in the Portuguese healthcare system. …”
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Derivation and Validation of ESC-0/1-h Algorithm for High-Sensitivity Troponin T and I in Cancer Patients by Paolo Bima, MD, Pedro Lopez-Ayala, MD, Luca Koechlin, MD, Fulvio Morello, MD, PhD, Jasper Boeddinghaus, MD, Mihaela Dimitrova, MD, Carlos C. Spagnuolo, MD, Emel Kaplan, MD, PhD, Thomas Nestelberger, MD, Jonas Glaeser, MD, Karin Wildi, MD, Jeanne du Fay de Lavallaz, MD, PhD, Beata Morawiec, MD, Oscar Miro, MD, Gemma Martínez-Nadal, MD, Francisco J. Martin-Sanchez, MD, Michael Christ, MD, Ksenija Slankamenac, MD, PhD, Giulia Labarile, MD, Bertil Lindahl, MD, Evangelos Giannitsis, MD, Enrico Lupia, MD, Christian Mueller, MD, Maria Rubini Gimenez, MD, Bernhard Okamura, MD, Tamar S. Muench-Gerber, MD, Alessandra Sanzone, MD, Tobias Zimmermann, MD, Desiree Wussler, MD, Joan Walter, MD, Patrick Badertscher, MD, Christian Puelacher, MD, PhD, Dagmar Keller, MD, Tobias Breidthardt, MD, Eliska Potlukova, MD, PhD, Damian Kawecki, MD, Nicolas Geigy, MD, Katharina Rentsch, PhD, Piotr Munzk, MD, Gemma Martinez-Nadal, MD, Esther Rodriguez Adrada, MD, Eva Ganovská, MD, Jiri Parenica, MD, Arnold von Eckardstein, MD, Isabel Campodarve, MD, James McCord, MD, Richard Nowak, MD, Richard Body, MB ChB, PhD, Christopher R. deFilippi, MD, Robert H. Christenson, MD, Mauro Panteghini, MD, Mario Plebani, MD, Franck Verschuren, PhD, John French, PhD, Silvia Weiser, PhD, Tomas Jernberg, MD, Aitor Alquézar-Arbé, MD, PhD, Jordi Ordonez-Llanos, MD, PhD

“…Objectives: The authors aimed to derive new cutoffs for ESC 0/1-h hs-cTnT/I algorithms optimized for use in patients with active or past cancer. …”
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An App model that utilizes a logistic regression algorithm for predicting choledocholithiasis: A prospective clinical trial by F. García-Villarreal, L.M. Torres-Treviño, C. Herrera-Figueroa, J.O. Jáquez-Quintana, A.A. Garza-Galindo, C.A. Cortez-Hernández, D. García-Compeán, R.A. Jiménez-Castillo, H.J. Maldonado-Garza, J.A. González-González

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Predicting Financial Distress through Ranking Working Capital Management Components Using Random Forest Algorithm by Pouya Sadeghi, Daryush Farid, Hamid Reza Mirzaei, Abolfazl Dehghani

“…In the first step, a random forest algorithm was employed to assess the predictive power of the seven working capital management indicators in classifying companies as distressed or healthy. …”
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A Quadratically Convergent Interior-Point Algorithm for the P*(κ)-Matrix Horizontal Linear Complementarity Problem by H. Mansouri

“…Moreover, we obtain the currently best known iteration bound for the algorithm with small-update method, namely, , which is as good as the linear analogue.…”
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Experimental performance examination of a coherence technique-based numerical differential current relay for AC machine stator windings protection by R. A. Mahmoud

“…The cross-coherence algorithm performs the functional role of digital differential current to find and classify the internal faults; while, the auto-coherence algorithm acts as an overcurrent detector to define the occurrence of external, internal, or inter-turn faults. …”
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Robust algorithm for electric fault diagnosis in the three phase induction machine based on spectral and wavelet tools. by Francisco Javier Villalobos Piña, Ricardo Álvarez Salas

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A Novel Particle Swarm Optimization Algorithm Based on Reinforcement Learning Mechanism for AUV Path Planning by Haoqian Huang, Chao Jin

“…In order to solve the problems of rapid path planning and effective obstacle avoidance for autonomous underwater vehicle (AUV) in 2D underwater environment, this paper proposes a path planning algorithm based on reinforcement learning mechanism and particle swarm optimization (RMPSO). …”
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IMPLEMENTATION OF MACHINE LEARNING ALGORITHM C4.5 IN CLASSIFICATION OF PATIENTS WITH TYPE 2 DIABETES MELLITUS by Dyah Ayu Sekar Kinasih Purwaningrum, Dina Agustina

“…The neglect of a healthy lifestyle among the Indonesian population has led to an increased risk of diabetes mellitus, which currently affects 643 million people worldwide. Early and accurate diagnosis is crucial for preventing the progression of the disease. …”
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A Method of Coupling Mechanism Parameter Identification Based onGenetic Algorithm for MC-WPT System by LYU Zhuo, LIU Huadong, LE Wentao, ZHOU Zhenbang, LUO Jianbo

“…In order to ensure that the magnetically coupled wireless power transmission system is in resonance when it is working, this paper proposes a genetic algorithm-based parameter identification method for LCC-S type MC-WPT system. …”
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Sampling error‐based model‐free predictive current control of open‐end winding induction motor with simplified vector selection by Mahdi S. Mousavi, S. Alireza Davari, Freddy Flores‐Bahamonde, Cristian Garcia, Jose Rodriguez

“…The proposed scheme controls the zero‐sequence current (ZSC) alongside the stator currents. In a model‐free approach, this method predicts the future of ZSC and stator current components by the stator current and voltage sampling errors. …”
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