A parallel program for the simulation of flooding by Anurak Busaman, Rhysa McNeil, Somporn Chuai-Aree, Mayuening Eso

“…To solve this problem, this study aims to enhance the speed of numerical methods while maintaining accuracy in flood simulation results. …”
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On Godunov-type finite volume methods for seismic wave propagation by Juan Barrios, Pedro S. Peixoto, Felipe A. G. Silva

“…We investigated Gudunov-type FV methods: an upwind method called wave propagation algorithm (WPA), and a Central-Upwind type method (CUp). …”
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Optimal Configuration and Economic Study of Hybrid Energy Storage System in Wind and Solar Power Plants by Yongqian LIU, Chao LIANG, Jie YAN, Jing ZHANG

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Ensemble learning with RAG model to reduce redundant question topics in auto-generated exam questions by R. Tharaniya Sairaj, S. R. Balasundaram

“…The application of Ensemble Pruning, specifically with the m-EPIC algorithm, further enhances accuracy while reducing computational overhead (around 26%). …”
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Beyond the Current Curve: A Novel Curve Warning System Considering Subsequent Curve Speed Limits by N. S. Manikandan, Ganesan Kaliyaperumal

“…This work presents a novel curve warning system that addresses the existing Advanced Driver-Assistance Systems (ADAS) limitations. While current ADAS offer curve warnings, they often lack the consideration of subsequent curve’s speed limit and distance, hindering optimal warning location calculations. …”
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Effectiveness of introducing pulse oximetry and clinical decision support algorithms for the management of sick children in primary care in Kenya and Senegal on referral and antibi... by Hélène Langet, Papa Moctar Faye, Francis Njiri, Silvia Cicconi, Gillian A. Levine, Tracy R. Glass, Rose J. Kosgei, Kevin Ngari, Fabian Schaer, Aliou Thiongane, Jean Augustin Diégane Tine, Maymouna Ba, Leah F. Bohle, Mira Emmanuel-Fabula, Mouhamadou Mansour Faye, Susan Horton, Andolo Miheso, Mercy Mugo, Mariah Ngutu, Michael Ruffo, Janet Shauri, Ndèye Marème Sougou, Valérie D’Acremont, Kaspar Wyss, Ousmane Ndiaye, Fenella Beynon

“…Pulse oximetry and digital Clinical Decision Support Algorithms (CDSAs) can strengthen the detection and management of severe childhood illnesses, and support antibiotic stewardship in primary care, but lack evidence for scale-up. …”
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Optimization of Hydronic Heating System in a Commercial Building: Application of Predictive Control with Limited Data by Rana Loubani, Didier Defer, Ola Alhaj-Hasan, Julien Chamoin

“…Limited data poses challenges for capturing system dynamics, addressed through a black-box approach combining two machine learning models: an artificial neural network predicts indoor temperature, while a support vector machine estimates gas consumption. …”
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Three-stage hybrid scheduling method based on link adjustment and arc replacement for large-scale satellite ground station resource scheduling considering idleness rate by Shunyi Cao, Xiaolu Liu, Lei He

“…Then, a Local-tabu Optimization Operator Based on Arc Replacement (LTOO-AR) enhances the idleness rate by replacing task arcs while introducing a local-tabu strategy to prevent the algorithm from becoming trapped in local optima. …”
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An AI-ISM Methodology for Structural Modeling of Sustainable Supply Chain Management Drivers by Reza Roshanpour, Mohammadreza Parsanejad, Mir Saman Pishvaee

“…To address these challenges, this study proposes a novel Hybrid AI-ISM methodology, integrating Genetic Algorithms (GA) to optimize the reachability matrix by minimizing transitivity violations and reciprocal inconsistencies. …”
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Dynamic Graph Neural Network for Garbage Classification Based on Multimodal Feature Fusion by Yuhang Yang, Yuanqing Luo, Yingyu Yang, Shuang Kang

“…An adaptive K-nearest neighbor algorithm is utilized to construct the dynamic graph structure, while the incorporation of a multi-head attention layer within the graph neural network facilitates the efficient aggregation of both local and global features. …”
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OPTIMIZING PROCESSOR WORKLOADS AND SYSTEM EFFICIENCY THROUGH GAME-THEORETIC MODELS IN DISTRIBUTED SYSTEMS by Merlan Telmanov, Zukhra Abdiakhmetova, Amandyk Kartbayev

“…Additionally, adaptive algorithms for dynamic task allocation are proposed, aimed at enhancing system flexibility and efficiency in real-time processing environments. …”
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Fermat and Mersenne numbers in $k$-Pell sequence by B. Normenyo, S. Rihane, A. Togbe

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Neuroevolutionary Convolutional Neural Network Design for Low-Resolution Face Recognition by Jhon I. Pilataxi, Juan P. Perez, Claudio A. Perez, Kevin W. Bowyer

“…In this study, we use neuroevolution with a genetic algorithm (GA) to design Convolutional Neural Networks (CNNs) automatically for low-resolution (LR) FR. …”
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Advanced methodology for maximum torque point tracking of hybrid excitation PMSM for EVs by Mahmoud M. Elymany, Nadia A. Elsonbaty, Aymen FLah, Lukas Prokop, Habib Kraiem, Mohamed A. Enany, Ahmed A. Shaier

“…Additionally, the Multi-Objective Ant Lion Optimizer (MOALO) algorithm is used in two stages: first to optimize the hybridization ratio (HR) and base speed (N b ), and second to analyze the effect of varying the hybridization ratio while maintaining constrained output power. …”
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Design and Optimization of a Robust Wide‐Area Damping Controller for Mitigating Inter‐Area Oscillations in Wind‐Integrated Power Systems by Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Sun‐Kyoung Kang, Ilhami Colak, El Manaa Barhoumi

“…To accomplish smooth integration with the power system stabilizer (PSS), the Salp Swarm Algorithm (SSA) is used to precisely alter the WADC's parameters. …”
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Design of a Lorentz Force Magnetic Bearing Group Steering Law Based on an Adaptive Weighted Pseudo-Inverse Law by Chenyu Wang, Lei Li, Weijie Wang, Yanbin Zhao, Baiqi Li, Yuan Ren

“…Incorporating spacecraft maneuvering requirements, a genetic optimization algorithm establishes the optimal mounting configuration under task constraints. …”
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Wireless Power Transfer Optimization with a Minimalist Single-Capacitor Design for Battery Charging by Sabriansyah Rizqika Akbar, Wijaya Kurniawan, Achmad Basuki, Agung Setia Budi, Barlian Henryranu Prasetio

“…Here, the WPT power output to the load is chosen as the fitness function, while the constraints are the available capacitance and voltage source frequency values. …”
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Analisis Sentimen: Pengaruh Jam Kerja Terhadap Kesehatan Mental Generasi Z by Muhammad Daffa Al Fahreza, Ardytha Luthfiarta, Muhammad Rafid, Michael Indrawan

“…Arifin Setiono's stemming algorithm on the Gaussian Naïve Bayes model achieved 81% precision, 81% recall, 81% f1-score, with 82% accuracy, while on Support Vector Machine, 88% precision, 86% recall, 86% f1-score, with 86% accuracy. …”
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Skewed Multifractal Cross-Correlations Between Green Bond Index and Energy Futures Markets: A New Perspective Based on Change Point by Yun Tian, Zhihui Li, Jue Wang, Xu Wu, Huan Huang

“…This study is the first to use the Bayesian Estimator of Abrupt Change, Seasonality, and Trend (BEAST) algorithm to detect trend change points in the nexuses between the green bond index (Green Bond) and WTI of crude oil, gasoline, as well as natural gas futures. …”
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Thermodynamic optimization of a multi-generation system integrating gas turbine-helium reactor cycle with hydrogen production and desalination by Yang Wang, Yuliang Chen, Zhen Su

“…Compared to the baseline configuration, energy efficiency improves by approximately 1.72 %, while the hydrogen output increases by 6.1 %. The Red Kite Optimization Algorithm (ROA), a novel metaheuristic inspired by the social behavior of red kites, is employed for both single- and multi-objective optimization. …”
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