Exergy Analysis in Hydrogen-Air Detonation by Abel Rouboa, Valter Silva, Nuno Couto

“…Implicit total variation diminishing (TVD) algorithm, based on Riemann solver, is solved. The typical diagrams of exergy balances of hydrogen detonation in air are calculated for each case. …”
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Influence of Hysteresis on the Vibration Control of a Smart Beam with a Piezoelectric Actuator by the Bouc–Wen Model by Ting Zhang

“…Furthermore, the Bouc–Wen model is adopted to describe the hysteresis property of a smart beam and the hysteresis parameters of the hysteresis model are identified with a genetic algorithm. Based on the identification results, the hysteresis model is validated to represent the hysteresis property of the smart beam. …”
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Bionics Design of Artificial Leg and Experimental Modeling Research of Pneumatic Artificial Muscles by Hualong Xie, Zhijie Li, Fei Li

“…Finally, the virtual prototype technology is used to build a joint simulation platform, and PID control algorithm is used for verification simulation. The results show that the artificial leg can follow the target trajectory.…”
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Optimal control of a Bose-Einstein condensate in an opticallattice: the non-linear and two-dimensional cases by E. Dionis, B. Peaudecerf, S. Guérin, D. Guéry-Odelin, D. Sugny

“…We present two generalizations of the gradient-based algorithm, GRAPE, in the non-linear case and for a two-dimensional lattice. …”
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Deep Grassmannian multiview subspace clustering with contrastive learning by Rui Wang, Haiqiang Li, Chen Hu, Xiao-Jun Wu, Yingfang Bao

“…A novel approach was proposed in this study, termed deep Grassmannian multiview subspace clustering with contrastive learning (DGMVCL). The proposed algorithm initially utilized a feature extraction module (FEM) to map the original input samples into a feature subspace. …”
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Research on the Fault Diagnosis Method for Rolling Bearings Based on Improved VMD and Automatic IMF Acquisition by Ying Zhang, Anchen Wang

“…The mode number K and the penalty parameter α of VMD are automatically obtained through an optimal parameter searching process underpinned by the improved particle swarm optimization (PSO) algorithm with a variety of inertia weights. This improvement solves one of the major drawbacks of the conventional VMD method, that is, the need to manually set parameters. …”
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Performance Analysis and Comparison for High Maneuver Target Track Based on Different Jerk Models by Qinghai Meng, Bowen Hou, Dong Li, Zhangming He, Jiongqi Wang

“…Besides, the filter track is designed with UKF algorithm based on the four different models for the high-maneuvering target. …”
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Optimal Design of the Sealing Structure of a Hydraulic Cylinder on the Basis of a Surrogate Model by Hong Zhang, Yu Sun, Chenchen Li, Haoran Wang

“…Then, a surrogate model was fitted and optimised through a constrained Latin hypercube method, an interpolating recmultiquadric radial basis function method, and the genetic algorithm. The results indicate that the seal and seal groove structures obtained through optimisation with the surrogate model provide a superior sealing effect to unoptimised structures. …”
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Application of adaptive virtual synchronous generator based on improved active power loop in photovoltaic storage systems by Youzhuo Zheng, Yutao Xu, Yekui Yang, Long Hua, Yuqing Yang

“…Then, the adaptive inertia algorithm is incorporated into the active power loop of the VSG control, and an adaptive inertia control method based on the improved active power loop is proposed. …”
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An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease by Md. Jakir Hossen, Thirumalaimuthu Thirumalaiappan Ramanathan, Abdullah Al Mamun

“…Different feature selection approaches including chi-square test, recursive feature elimination (RFE), genetic algorithm (GA), particle swarm optimization (PSO), and random forest are evaluated for their effectiveness in enhancing the classification accuracy of the machine learning classifiers. …”
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Seamless multimodality for passenger transportation in the Russian Federation by A. S. Stepanenko, A. S. Bolt, P. S. Bolt

“…The movement of financial and information flows and the algorithm of actions of the system participants are determined.…”
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Enhancing Vehicle Trajectory Quality: A Two‐Step Data Reconstruction Method Using Wavelet Transform and Normal Acceleration Value by Xia Zhang, Yacong Gao, Chenjing Zhou

“…And the vehicle trajectory data were reconstructed using Lagrange interpolation and Kalman filter algorithms. The approach was utilized on NGSIM trajectory data. …”
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Optimization Model of Traffic Sensor Layout considering Traffic Big Data by Xu Sun, Zixiu Bai, Kun Lin, Pengpeng Jiao, HuaPu Lu

“…The model is solved by the tolerant lexicographic method based on a genetic algorithm. A case study shows that the model reflects the influence of multisource data sharing and fault conditions and satisfies the origin-destination coverage constraint to achieve the multiobjective optimization of traffic sensor layout.…”
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Efficient and Scalable Graph Similarity Joins in MapReduce by Yifan Chen, Xiang Zhao, Chuan Xiao, Weiming Zhang, Jiuyang Tang

“…The superior efficiency and scalability of the proposed algorithms are demonstrated by extensive experimental results.…”
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Multimedia Tasks-Oriented Edge Computing Offloading Scheme Based on Graph Neural Network in Vehicular Networks by Yong Huang

“…Finally, the performance of the proposed scheme is validated through simulation experiments, including metrics such as model stability, subtask deployment error rate, expected energy consumption, and algorithm solution time. The proposed hybrid approach not only enhances the efficiency of resource allocation but also minimizes processing delays, ultimately contributing to improved performance in vehicular networks.…”
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Application of the ESRI Geostatistical Analyst for Determining the Adequacy and Sample Size Requirements of Ozone Distribution Models in the Carpathian and Sierra Nevada Mountains by Witold Fraczek, Andrzej Bytnerowicz, Michael J. Arbaugh

“…The final maps of O3 concentrations for Sierra Nevada were derived from cokriging algorithm based on two secondary variables — elevation and maximum temperature as well as the determined geographic trend. …”
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Correlation Coefficient Filtering Method for Optimal Sensor Layout Strategies in Inverse Problems by Qingyang Yuan, Xiangji Guo, Jiajie Han, Bingyue Han, Bo Zhang, Tian Lan

“…The study reflects the significant value of the correlation coefficient filtering method, based on the assumption of global correlation maximization, in evaluating optimal measurement points of the system, laying a foundation for the subsequent application of this algorithm in engineering.…”
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Graph Knowledge Structure for Attentional Knowledge Tracing With Self-Supervised Learning by Zhaohui Liu, Sainan Liu, Weifeng Gu

“…In addition, we incorporate the improved representation algorithm into the loss function to handle data sparsity, thereby improving prediction accuracy. …”
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Contribution of Daylighting to Saving Electrical Energy in Cameroon: Case Study of a Classroom in a Public School by Merimé Souffo Tagueu, Lionelle Adelaїde Madjou Tanekou, Benoît Ndzana

“…Applying the optimization algorithm designed for this purpose brings the average illuminance level down to 300lx following the EN12464 standard. …”
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Stochastic Computer Simulation of Cermet Coatings Formation by Oleg P. Solonenko, Vladimir I. Jordan, Vitaly A. Blednov

“…The results are presented, which concern the development of the computational algorithm and the program complex for modeling the process of laying the splats in the coating with regard to the topology of its surface, which varies dynamically at the spraying, as well as the formation of lamellar structure and porosity of the coating. …”
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