Prediction Model of Soybean Meal Protein Content Based on Low-field Nuclear Magnetic Resonance and Near-infrared Data Fusion by REN Guo-wei, ZHENG Sheng-guo, LU Bing, LU Dao-li, CHEN Bin

“…The partial least squares method, BP (Back Propagation) neural network and Sparrow Search Algorithm (SSA) were employed to optimize the BP neural network (SSA-BP). …”
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The joint policy of production, maintenance, and product quality in a multi-machine production system by reinforcement learning and agent-based modeling by Mohammad Reza Nazabadi, Seyed Najafi, Ali Mohaghar, Farzad Movahedi Sobhani

“…The production system studied in this research has been modeled using the agent-based simulation, and the Reinforcement Learning (RL) algorithm has obtained the optimal integrated policy. …”
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Study on Global Parameters Optimization of Dual-Drive Powertrain System of Pure Electric Vehicle Based on Multiple Condition Computer Simulation by Yong Wang, Hongguo Cai, Yinghua Liao, Jun Gao

“…As for such differences, this paper adopts intelligent algorithm to design the parameters of the transmission system and introduces the genetic algorithm into the optimization design of parameters to obtain the optimal vital parameters of the power transmission system based on computer simulation. …”
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Asymptotic analysis of mathematical model describing a new treatment of breast cancer using AZD9496 and palbociclib by Ophir Nave, Ophir Nave

“…Therefore, in order to reveal the hierarchy of the system of equations ,a numerical algorithm called the singularly perturbed vector field (SPVF) was applied. …”
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How Do We Treat Children with Anterior Cutaneous Nerve Entrapment Syndrome and Is the Biopsychosocial Model Also Being Applied? A Scoping Review by Anke P. C. Top, Thomas G. de Leeuw, Wichor M. Bramer, Bernadette C. M. de Mol, Frank J. P. M. Huygen, Maaike Dirckx

“…More research is needed to establish an evidence-based treatment algorithm for patients with this challenging pain problem. …”
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Enhancing prediction of wildfire occurrence and behavior in Alaska using spatio-temporal clustering and ensemble machine learning by A. Ahajjam, M. Allgaier, R. Chance, E. Chukwuemeka, J. Putkonen, T. Pasch

“…First, NASA’s Fire Information for Resource Management System (FIRMS) dataset spanning +20 years is processed using a spatio-temporal clustering algorithm to create refined wildfire datasets. A sequential Genetic Algorithm (GA) is employed for cost-effective feature selection from 49 geospatial features, including remote sensing and reanalysis data. …”
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Anomaly Usage Behavior Detection Based on Multi-Source Water and Electricity Consumption Information by Wenqing Zhou, Chaoqiang Chen, Qin Yan, Bin Li, Kang Liu, Yingjun Zheng, Hongming Yang, Hui Xiao, Sheng Su

“…The distance correlation coefficient algorithm is used to measure the relevance of users’ water and electricity usage data. …”
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Prediction of football injuries using GPS-based data in Iranian professional football players: a machine learning approach by Reza Saberisani, Amir Hossein Barati, Mostafa Zarei, Paulo Santos, Armin Gorouhi, Luca Paolo Ardigò, Hadi Nobari

“…IntroductionThe study aims to assess and compare the predictive effectiveness of football-related injuries using external load data and a decision tree classification algorithm by unidimensional approach.MethodsThe sample consisted of 25 players from one of the 16 teams participating in the Persian Gulf Pro League during the 2022--2023 season. …”
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Using selective NIR wavelengths in portable devices to evaluate the chemical composition of cattle feeds by Lorenzo Serva, Luisa Magrin, Giovanni Chillemi, Giorgio Marchesini, Daniele Pietrucci, Francesco Renzi, Riccardo Valentini, Igino Andrighetto, Marco Milanesi

“…This was achieved by evaluating various cattle rations and silages (including rations for cows and bulls and grass and corn silage), where we selected the most significant wavelengths for fibre characterisation using the Random Forest (Boruta) algorithm. The number of identified features varied based on the spectral pre-treatments applied or the use of a batch effect reduction algorithm (ComBat function). …”
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Dual Strategy Based Improved Swarm Intelligence and Stacked LSTM With Residual Connection for Land Use Land Cover Classification by Vinaykumar Vajjanakurike Nagaraju, Ananda Babu Jayachandra, Andrzej Stateczny, Swathi Holalu Yogesh, Raviprakash Madenur Lingaraju, Balaji Prabhu Baluvaneralu Veeranna

“…This article proposes a dual strategy-based bald eagle search (DSBES) algorithm and stacked long short-term memory (LSTM) with residual connection for LULC classification. …”
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A Decision-Making Model for Autonomous Vehicles at Urban Intersections Based on Conflict Resolution by Zi-jia Wang, Xue-mei Chen, Pin Wang, Meng-xi Li, Yang-jia-xin Ou, Han Zhang

“…After that, a nondominated sorting genetic algorithm (NSGA-II) and deep deterministic policy gradient (DDPG) are employed to select the optimal motions in comparison with each other. …”
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A Reduced-Order Controller Considering High-Order Modal Information of High-Rise Buildings for AMD Control System with Time-Delay by Zuo-Hua Li, Chao-Jun Chen, Jun Teng, Wei-Hua Hu, Hou-Bing Xing, Ying Wang

“…Both numerical and experimental results demonstrate that the reduced-order controller with GCC algorithm has an excellent control effect; meanwhile it can compensate time-delays effectively.…”
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An Imaging Method for Marine Targets in Corner Reflector Jamming Scenario Based on Time–Frequency Analysis and Modified Clean Technique by Changhong Chen, Wenkang Liu, Yuexin Gao, Lei Cui, Quan Chen, Jixiang Fu, Mengdao Xing

“…Finally, simulation experiments verify the effectiveness of the algorithm.…”
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Selective Ensemble Learning Method for Belief-Rule-Base Classification System Based on PAES by Wanling Liu, Weikun Wu, Yingming Wang, Yanggeng Fu, Yanqing Lin

“…Finally, the elite retention strategy and the adaptive mesh algorithm are adopted to produce the PAES optimal solution set. …”
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Personalized Federated Learning for Heterogeneous Residential Load Forecasting by Xiaodong Qu, Chengcheng Guan, Gang Xie, Zhiyi Tian, Keshav Sood, Chaoli Sun, Lei Cui

“…Further, we introduce a novel differential privacy (DP) algorithm in the proposed system to provide an additional privacy guarantee. …”
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Hormonal contraception in women with polycystic ovary syndrome: Contraceptive and non-contraceptive effects. A clinical lecture by Olga A. Pustotina

“…The article deals in detail with the PCOS diagnosis algorithm and pathogenesis, as well as the adverse impact of PCOS on the reproductive and overall health of women. …”
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Bilevel programs with extremal value function: global optimality by Abdelmalek Aboussoror, Hicham Babahadda, Abdelatif Mansouri

“…Finally, this case is completed by an algorithm.…”
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Simulation of Hardening and Cooling Processes for Moving Melts in Special Casting Technologies by R. I. Esman, I. I. Shub

“…A mathematical model and an algorithm for numerical solution of conjugate problem concerning hydrodynamics and heat transfer of hardening and cooling processes with liquid metal flow is given in the paper.Quantitative relationships between heating and hydrodynamic parameters of moving melts in the channels of metallic molds of special casting technologies have been determined in the paper. …”
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Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction by Yong-Hyuk Kim, Yourim Yoon

“…Spatiotemporal pattern networks of heavy rain among automatic weather stations, which reflect the mobility of heavy rain, were constructed and analyzed based on the hourly precipitation data over the last ten years (from 2003 to 2012) in South Korea. Moreover, a new algorithm applying the constructed heavy-rain pattern networks to very-short-term heavy-rain prediction was developed, and significant prediction results could be obtained.…”
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Robust Distributed H∞ Filtering for Nonlinear Systems with Sensor Saturations and Fractional Uncertainties with Digital Simulation by Dong Liu, Guangfu Tang, Zhiyuan He, Yan Zhao, Hui Pang

“…A sufficient condition is derived for the filtering error system to reach the required H∞ performance in terms of recursive linear matrix inequality method. An iterative algorithm is then proposed to obtain the filter parameters recursively by solving the corresponding linear matrix inequality. …”
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