Machine-learning based optimizing the neutronic and thermal-hydraulic performance in a VVER-1000 mixed-core as well as fuel burnup assessment by A. Koraniany, G.R. Ansarifar

“…The study aimed to identify the optimal fuel composition and loading location for the UTVS assembly based on various neutronic and thermal-hydraulic parameters. …”
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Artificial intelligence analysis of thermal energy for convectively heated ternary nanofluid flow in radiated channel considering viscous dissipations aspects by Hamid Qureshi, Amjad Ali Pasha, Muhammad Asif Zahoor Raja, Zahoor Shah, Salem Algarni, Talal Alqahtani, Waqar Azeem Khan, Moinul Haq

“…Advance computational technique with combination of AI with Python, Mathematica and Matlab (AIPMM) employing Levenberg Marquardt Neural Network Algorithm (LMNNA), is used for solving a transformed system of ODEs, which was obtained from the system of PDEs of present model. …”
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Multi-Objective Clustering Based on Congestion Games With Player-Specific Cost Functions by Dalila Kessira, Mohand-Tahar Kechadi

“…In particular, we formulate the clustering problem using Singleton Congestion Games with Player-Specific Cost Functions, a sub-class of non-cooperative simultaneous-move games, in which cluster heads act as players and data objects are treated as resources. …”
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Digital Metallo‐Supramolecular Chemistry by Aleksandar Kondinski

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Thermographic Data Processing and Feature Extraction Approaches for Machine Learning-Based Defect Detection by Alexey Moskovchenko, Michal Svantner

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Design of Computer Numerical Control System for Fiber Placement Machine Based on Siemens 840D sl by Kun Xia, Di Zhao, Qingqing Yuan, Jingxia Wang, Aodong Shen

“…This research provides a technical framework for the design of multi-axis cooperative control systems and thermal error compensation in automated fiber placement equipment, offering critical insights for advancing manufacturing technologies in aerospace composite applications. …”
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RF-SFAD: A RANDOM FOREST MODEL FOR SELECTIVE FORWARDING ATTACK DETECTION IN MOBILE WIRELESS SENSOR NETWORKS by N Usha Bhanu, Soubhagya Ranjan Mallick, Sreenivasa Rao Chappidi, K Sangeethalakshmi

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Structural Design Optimization of Tidal Current Turbine Blades Based on Structural Safety Factors by Haechang Jeong, Changjo Yang

“…Additionally, a genetic algorithm is employed to calculate the optimal structural design model, setting the shell and spar cap as design parameters and performing load analysis according to the stacking reduction ratio. …”
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Clearing Model for Flexibility Dispatching of Virtual Power Plants and Energy Spot Market Considering Transmission-Distribution Coordination by HUANG Fuquan, HE Yujun, GUO Hongye, LI Yun, CHEN Tunan

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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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Optimization of Sensor Positions and Orientations for Multiple Load Case Scenarios by Wacław Kuś, Waldemar Mucha, Iyasu Tafese Jiregna

“…Statistical comparison proved that the developed methods and algorithms allow us to significantly reduce the prediction errors.…”
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Advanced machine learning techniques for predicting compressive strength and ultrasonic pulse velocity of concrete incorporating industrial by-products by Ehsan Mohsennia, Alireza Javid, Vahab Toufigh

“…Among the models tested, the CatBoost (CB) algorithm, optimized with the Whale Optimization Algorithm (WOA), exhibited outstanding predictive performance. …”
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Recent Advances in Multi-Agent Reinforcement Learning for Intelligent Automation and Control of Water Environment Systems by Lei Jia, Yan Pei

“…Multi-agent reinforcement learning (MARL) has demonstrated significant application potential in addressing cooperative control, policy optimization, and task allocation problems in complex systems. …”
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Modeling of erosion processes in open channels by M. R. Magomedova

“…Approbation of the developed technique on the material of laboratory and field studies confirmed its satisfactory accuracy in a wide range of hydraulic conditions and soil granulometric compositions. Conclusion. The principles of developing a model of erosion processes in open channels, the modular structure of the calculation algorithms and programs compiled on its basis, allow us to continuously improve the methods for calculating individual parameters of the erosion process and make adjustments to the corresponding modules of algorithms.…”
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CT-Derived Features as Predictors of Clot Burden and Resolution by Quentin Auster, Omar Almetwali, Tong Yu, Alyssa Kelder, Seyed Mehdi Nouraie, Tamerlan Mustafaev, Belinda Rivera-Lebron, Michael G. Risbano, Jiantao Pu

“…These patients were referred for invasive cardiopulmonary exercise testing (CPET) at the University of Pittsburgh Medical Center from 2018 to 2022, for whom we have ground truth classification of chronic PE, as well as CT-derived features related to body composition, cardiopulmonary vasculature, and PE clot burden using artificial intelligence (AI) algorithms. …”
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Optimization of Gear Modification Amount based on Polynomial Response Surface Proxy Model by Yonghua Li, Wusong Wei, Xu Zhang

“…Aiming at the problem that gear modification is difficult to determine under the influence of multiple factors， the gear modification is optimized based on the polynomial response surface proxy model and particle swarm optimization algorithm. Firstly， considering the influence of the shaft and the bearing， the parametric modeling of the gear transmission device is carried out， and the transmission linear error， the maximum contact stress of the tooth surface and the unit normal load of the gear model are simulated and analyzed to determine gear modification mode for composite modification. …”
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Optimization of vehicle routing problems combining the demand urgency and road damage for multiple disasters by Ran Li, Xiaofei Ye, Shuyi Pei, Xingchen Yan, Tao Wang, Jun Chen, Pengjun Zheng

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NAF-MEEF: A Nonlinear Activation-Free Network Based on Multi-Scale Edge Enhancement and Fusion for Railway Freight Car Image Denoising by Jiawei Chen, Jianhai Yue, Hang Zhou, Zhunqing Hu

“…The algorithm constructs a Multi-scale Edge Enhancement Initialization Layer to strengthen edge information at multiple scales. …”
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Accelerating the Adaptive Eyre–Milton FFT-based method for infinitely double contrasted media by Dolbeau, Martin, Bleyer, Jérémy, Sab, Karam

“…Sab et al. (2024) have recently proposed an FFT-based iterative algorithm, termed Adaptive Eyre–Milton (AEM), for solving the Lippmann–Schwinger equation in the context of periodic homogenization of infinitely double contrasted linear elastic composites (heterogeneous materials with linear constitutive laws that contain both pores and rigid inclusions). …”
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Detection of Pesticide Residues Using Three-Dimensional SERS Substrate Based on CNTs/Ag/AgNWs/SiO₂ by Jianjun Ding, Niansong Liu, Ganglin Wang, Naiyu Guo, Chao Sun

“…Additionally, the genetic algorithm (GA)-optimized Back Propagation (BP) neural network was introduced for the quantitative analysis of thiram concentrations. …”
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