Multi-port network based modeling and selection of capacitor for desired voltage regulation of a standalone six-phase short-shunt induction generator for application in remote area... by Saikat Ghosh, S.N. Mahato

“…The performance of the machine is evaluated with the help of magnetic characteristics and other equations obtained from its per phase equivalent circuit. …”
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Method to Interpret Injection Profile of Water Injection Well Based on DTS by ZHANG Xiliang, LI Ang, WU Jie, WANG Lijun, ZUO Kai, ZHANG Zhihu

“…A simulated annealing (SA) algorithm is used to establish a DTS data inversion model for water injection wells. …”
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Combined assessment of stress hyperglycemia ratio and glycemic variability to predict all-cause mortality in critically ill patients with atherosclerotic cardiovascular diseases ac... by Fuxu Wang, Yu Guo, Yuru Tang, Shuangmei Zhao, Kaige Xuan, Zhi Mao, Ruogu Lu, Rongyao Hou, Xiaoyan Zhu

“…However, the prognostic significance of combined SHR-GV evaluation for ASCVD mortality remains unclear. This study examines associations of SHR, GV, and their synergistic effects with mortality in patients with ASCVD across different glucose metabolic states, incorporating machine learning (ML) to identify critical risk factors influencing mortality. …”
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Application of machine learning and neural network models based on experimental evaluation of dissimilar resistance spot-welded joints between grade 2 titanium alloy and AISI 304 s... by Marwan T. Mezher, Alejandro Pereira, Rusul Ahmed Shakir, Tomasz Trzepieciński

“…However, the random forest algorithm gave the second best prediction of the MSE while the CatBoost and gradient boosting algorithms were third and fourth, respectively. …”
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The Application of PSO in Structural Damage Detection: An Analysis of the Previously Released Publications (2005–2020) by Parsa Ghannadi, Seyed Sina Kourehli, Seyedali Mirjalili

“…Among different algorithms, the particle swarm optimization (PSO) approach has been of the most popular ones. …”
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Application of Adaptive Search Window-Based Nonlocal Total Variation Filter in Low-Dose Computed Tomography Images: A Phantom Study by Hajin Kim, Bo Kyung Cha, Kyuseok Kim, Youngjin Lee

“…This study models an adaptive nonlocal total variation (NL-TV) algorithm that efficiently reduces noise in X-ray-based images and applies it to low-dose CT images. …”
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Integrated transmission expansion planning incorporating fault current limiting devices and thyristor-controlled series compensation using meta-heuristic optimization techniques by Abdulaziz Almalaq, Khalid Alqunun, Rabeh Abbassi, Ziad M. Ali, Mohamed M. Refaat, Shady H. E. Abdel Aleem

“…Three TEP models incorporating fault current limiters and thyristor-controlled series compensation devices are utilized to evaluate the performance of the meta-heuristic algorithms, each representing a different scale and complexity level. …”
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A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting by Jing Liu, Qingling He, Zhikun Yue, Yulong Pei

“…To address the issues of slow convergence and large errors in existing metaheuristic algorithms when optimizing neural network-based subway passenger flow prediction, we propose the following improvements. …”
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Estimativa do balanço de radiação por sensoriamento remoto de diferentes usos de solo no sudoeste da Amazônia brasileira / Estimative of radiation balance by remote sensing of diff... by Luiz Carlos Da Silva, José Maurício Cunha, Nadja Gomes Machado, Milton César Costa Campos, Marcelo Sacardi Biudes

“…This study aimed to evaluate the spatial and temporal distribution of estimates of net radiation and biophysical parameters from remote sensing in different land uses in southwestern Brazilian Amazon. …”
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Intelligent power control strategy based on self-tuning fuzzy MPPT for grid-connected hybrid system by H. Chaib, S. Hassaine, Y. Mihoub, S. Moreau

“…This paper investigates various methods for controlling the Maximum Power Point Tracking (MPPT) algorithm within the framework of intelligent energy control for grid-connected Hybrid Renewable Energy Systems (HRESs). …”
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Optimal setting automatic excitation controllers for synchronous generators by R. I. Kanafeev, A. D. Zhirnov, T. G. Klimova

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Sustainable closed-loop supply chain network design: heuristic hybrid approach with considering inflation and carbon emission policies by Saeid Kalantari, Hamed Kazemipoor, Farzad Movahedi Sobhani, Seyyed Mohammad Hadji Molana

“…The proposed Mixed Integer Linear Programming (MILP) model is applied in the electronics industry.Findings: The proposed model is evaluated in several experiments and discussed in different scenarios to confirm the efficiency and validity of the proposed model and method. …”
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Ghost Discrimination Method for Broadband Direct Position Determination Based on Frequency Coloring Technology by Mengling Yu, Long Yang, Yixin Yang, Xionghou Liu, Lu Wang

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Accurately assessing congenital heart disease using artificial intelligence by Khalil Khan, Farhan Ullah, Ikram Syed, Hashim Ali

“…In addition, the article also evaluates the strengths and weaknesses of existing algorithms, offering a critical review of their performance and limitations. …”
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10 MW FOWT Semi-Submersible Multi-Objective Optimization: A Comparative Study of PSO, SA, and ACO by Souleymane Drabo, Siqi Lai, Hongwei Liu, Xiangheng Feng

“…Each algorithm’s convergence was meticulously evaluated, leading to the selection of the optimal design solution. …”
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A genetic programming-based ensemble method for long-term electricity demand forecasting by Hayat Ahmed Issa, Hasan Hüseyin Çevik, Ahmet Yilmaz, Mehmet Cunkas

“…In the initial stage, genetic algorithms, particle swarm optimization, and simulated annealing methods are applied to various regression models (linear, quadratic, and exponential). …”
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Sensor-Based Gait Analysis: A Comparative Study of Ultrasonic and Laser Sensors for Gait Monitoring in Rollator-Assisted Walking by Ivan Omeko, Stefan Twieg, Martin Obert

“…This is based on measuring the distance between the user and the rollator, among other methods. The study evaluates three different distance sensors — HC-SR04, HC-SR04-P, and TFmini-S to determine the most reliable and suitable option. …”
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Performance assessment of basalt fibre concrete under freeze-thaw cycles using hybrid long short-term memory models by Qingguo Yang, Honghu Wang, Qigui Yi, Liuyuan Zeng, Rui Xiang, Longfei Guan, Jiawei Cheng, Keling Chen, Yunhao Li

“…By integrating self-conducted experimental data and referenced datasets, a diverse experimental database was constructed. Improved algorithms, namely Asynchronous Learning Particle Swarm Optimization (AsyLnCPSO) and Hybrid Genetic Algorithm-based Particle Swarm Optimization (GA-HIDMS-PSO), were paired with LSTM neural networks to systematically evaluate their adaptability and effectiveness in predicting the performance of basalt fiber-reinforced concrete under freeze-thaw conditions. …”
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A Review of Reliability Assessment and Lifetime Prediction Methods for Electrical Machine Insulation Under Thermal Aging by Jian Zhang, Jiajin Wang, Hongbo Li, Qin Zhang, Xiangning He, Cui Meng, Xiaoyan Huang, Youtong Fang, Jianwei Wu

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Research on rolling bearing compound fault diagnosis based on AMOMCKD and convolutional neural network by Runfang Hao, Yunpeng Bai, Kun Yang, Yongqiang Cheng, Shengjun Chang

“…Firstly, the key parameters of MCKD are optimized using the adaptive Non-dominated Sorting Genetic Algorithm (NSGA-II) with a new multi-objective evaluation index Hyperarea (HA). …”
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