An Effective ABC-SVM Approach for Surface Roughness Prediction in Manufacturing Processes by Juan Lu, Xiaoping Liao, Steven Li, Haibin Ouyang, Kai Chen, Bing Huang

“…In this study, support vector machine (SVM) is applied to develop prediction models for machining processes. …”
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D2D computation task offloading for efficient federated learning by Xiaoran CAI, Xiaopeng MO, Jie XU

“…Federated learning is a kind of distributed machine learning technique.The factor of communication and computation resource constraints at the edge node is becoming the performance bottleneck.In particular,when different edge node has distinct computation and communication capabilities,the model training performance may degrade severely,thus necessitating the joint communication and computation optimization.To tackle this challenge,a computational task offloading scheme enabled by device-to-device (D2D) communications was proposed,in which different edge node exchanged data samples via D2D communication links to balance the processing capability and task load,in order to minimize the total time delay for machine learning model training.Simulation results show that compared to the benchmark scheme without such D2D task offloading the training speed and efficiency of federated learning has be improved significantly.…”
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Prediction of Train Arrival Delay Using Hybrid ELM-PSO Approach by Xu Bao, Yanqiu Li, Jianmin Li, Rui Shi, Xin Ding

“…In this study, a hybrid method combining extreme learning machine (ELM) and particle swarm optimization (PSO) is proposed to forecast train arrival delays that can be used for later delay management and timetable optimization. …”
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Corrosion rate prediction for long-distance submarine pipelines based on MWIWOA-SVM by Zhengshan LUO, Haipeng LYU, Jihao LUO

“…ObjectiveTo ensure the safe operation of long-distance submarine oil and gas pipelines, it is essential to enhance the prediction accuracy of their internal corrosion rates. Most existing models rely on Support Vector Machine (SVM), which has limitations including low convergence accuracy, unbalanced optimization, and a tendency to get stuck in local optima. …”
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Estimating the travel distance of channelized rock avalanches using genetic programming method by Zhang Yong, Wang Tao, Deng Mingfeng, Chen Ningsheng

“…Considering the advantages of machine learning in data processing, 49 channelized rock avalanche events and three machine learning methods (genetic programming (GP), support vector machine (SVM), and multilayer perceptron (MLP)) were selected for model optimization and establishment. …”
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Micro-spring force sensors using conductive photosensitive resin fabricated via two-photon polymerization by Ningning Hu, Yucheng Deng, Lujia Ding, Lijun Men, Wenjun Zhang, Ruixue Yin

“…Using a support vector machine model in machine learning techniques, we optimized the polymerizability of the resin under varied laser parameters, achieving a predictive accuracy of 92.66%. …”
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Discovering novel lead-free solder alloy by multi-objective Bayesian active learning with experimental uncertainty by Qinghua Wei, Yuanhao Wang, Guo Yang, Tianyuan Li, Shuting Yu, Ziqiang Dong, Tong-Yi Zhang

“…The active learning strategy demonstrates that a machine learning model will have high generalizability if experimental data uncertainty is included, which greatly improves the model prediction or the material design accuracy. …”
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Design on the Bowden Cable-Driven Upper Limb Soft Exoskeleton by Wei Wei, Zhicheng Qu, Wei Wang, Pengcheng Zhang, Fuchun Hao

“…We focus on structural optimization to minimize man-machine interaction force. …”
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Research on the evaluation method of cooperative jamming effectiveness based on IPSO-ELM by A. Tianjian Yang, B. Xing Wang, C. Siyi Cheng, D. You Chen, E. Xi Zhang

“…This optimization aims to boost the model’s predictive precision. …”
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滚齿机立柱静动态分析与优化研究 by 胡世军, 常迎杰, 张红香, 李进, 李崇建, 张玲玲

“…In order to improve static and dynamic performance of the stand column that is the important supports of the gear hobbing machine,the stand column is optimized on strength and weight optimization.The structure modeling in 3Dand analyzing in static and dynamic are carried out by using the software platform of Pro/E-ANSYS,then the model is optimized according to the static stress deformation,the cloud chart of stress,the first 5natural frequency and the corresponding vibration mode.The results show that the strength is increased and the weight is decreased by about 6.18×103 kg after the optimizing,some references for the reasonable design and optimization of the stand column are provided.…”
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机械夹持手的优化设计与分析 by 郑国穗, 卢军, 马金锋

“…Taking the injection molding machine robot gripper as example,the 3D solid model design is carried out under the environment of SolidWorks.The model is led into ANSYS Workbench, the static analysis of gripper is carried out.The structure is improved by using topology optimization module of Workbench,the deformation amount of the structure is greatly reduced and the weight of the optimized structure is reduced by 4.59kg,the result proved the rationality and feasibility of this program,and the reference and basis for further improvement and design is provided.…”
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Active Compliance Control System for Intelligent Inspection Robot in Power Room by Ning Guan, Pei Zhang

“…This research includes the noncontact detection method of the inspection robot in the power room based on machine vision; the optimization environment of the power room; the control of the inspection robot through the monitoring system terminal; the automatic visual inspection of the machine through the monitoring network transmission; the display of the monitoring terminal and the use of the calibration of the machine; and the edge detection method of the inspection image. …”
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Flood-prone area mapping using a synergistic approach with swarm intelligence and gradient boosting algorithms by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Sani I. Abba, Jamil Hussain, Soo-Mi Choi

“…This research addresses the critical gap in determining optimal hyperparameters for machine learning models in FSM. …”
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Multi-objective mathematical programs to minimize the makespan, the patients' flow time, and doctors' workloads variation using dispatching rules and genetic algorithm by Jerbi Badreddine, Kanoun Salma, Kamoun Hichem

“…For small instances, we use a mathematical programming model and a heuristic method based on the “first come, first served” rule to assign patients to machines and doctors. …”
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Development of an Improved KOA Algorithm for Solving Task Allocation in Hilly Orchards With Weeding Robots by Xiaolin Xie, Hang Jin, Heng Wang, Man Xu, Cheng Zhang, Xin Jin, Zhihong Zhang

“…Subsequently, the task allocation problem for weeding robots in hilly orchards was defined. A mathematical model was then established with energy consumption as the optimization objective. …”
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Quantum kernel t-distributed stochastic neighbor embedding by Yoshiaki Kawase, Kosuke Mitarai, Keisuke Fujii

“…Furthermore, we visualize the optimization trajectories of finding the ground states of the transverse field Ising model, and we successfully find the trajectory characteristics. …”
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注射机增力机构优化研究 by 李铁军, 朱成实, 鄢利群, 王学平, 宁建荣

“…The analysis of motion and mechanics property is carried out on the five hinged incline arranged and double elbowed force increasing mechanism of injection machine.A complete optimal design procedure is carried out by using improved ant colony algorithms,so as to increase the stroke ratio and the amplification of the force,and to decrease the total length of mechanism.Its optimization mathematics model is established.The procedure of optimal design belongs to multi-object optimization problem.The optimal solution of the force increasing mechanism is found by improved ant colony algorithms.Compared with the traditional methods,the result shows that the total length of mechanism is decreased,the stroke ratio is increased,and the amplification of the force is increased.…”
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An Ensemble-Based Approach for Detecting Clickbait in Indonesian Online Media by Sandy Kurniawan, Adhe Setya Pramayoga, Yeva Fadhilah Ashari

“…This study proposes a machine learning approach for detecting clickbait in Indonesian news headlines using classical classification models and ensemble learning. …”
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A Systematic Mapping Study on State Estimation Techniques for Lithium-Ion Batteries in Electric Vehicles by Carolina Tripp-Barba, José Alfonso Aguilar-Calderón, Luis Urquiza-Aguiar, Aníbal Zaldívar-Colado, Alan Ramírez-Noriega

“…The findings disclose various methods that boost the accuracy and reliability of SoC, including enhanced variants of the Kalman filter, machine learning models like long short-term memory (LSTM) and convolutional neural networks (CNNs), as well as hybrid optimization frameworks that combine Grey Wolf Optimization (GWO) and Particle Swarm Optimization (PSO). …”
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Evaluation of stroke sequelae and rehabilitation effect on brain tumor by neuroimaging technique: A comparative study. by Xueliang Guo, Lin Sun

“…The development of the 3D CNN model utilizes the ADAM optimization algorithm to facilitate the training process. …”
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