Dynamic Imbalance Analysis and Stability Control of Galloping Gait for a Passive Quadruped Robot by Chunlei Wang, Ting Zhang, Xiaohui Wei, Yongjun Long, Shigang Wang

“…The control strategy is designed by an optimization dichotomy algorithm for seeking the zero point of the balance condition. …”
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Composition optimization design and high temperature mechanical properties of cast heat-resistant aluminum alloy via machine learning by Changmei Hao, Yudong Sui, Yanru Yuan, Pengfei Li, Haini Jin, Aoyang Jiang

“…This study combines experimental and machine learning methods to predict the optimal alloy composition for maximum ultimate tensile strength(UTS) at 300 °C and 350 °C. The AdaBoost algorithm was chosen as the final model. Experimental results show that predictions of the machine learning model deviate by only 7.75 % from the actual results, with an R2 of 0.94. …”
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Cognitive strategies for UAV trajectory optimization: Ensuring safety and energy efficiency in real-world scenarios by Mushtaq Muhammad Umer, Hein Venter, Owais Muhammad, Tamoor Shafique, Fuad A. Awwad, Emad A.A. Ismail

“…The proposed work offers an energy efficient RRT algorithm, which is used to assess multiple trajectory alternatives. …”
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Damage Identification in Bars with a Wave Propagation Approach and a Hybrid Optimization Method by R.A. Tenenbaum, K.M. Fernandes, L.T. Stutz, A.J. Silva Neto

“…Finally, an experimental validation of the sequential algebraic algorithm, used for modeling the direct problem, is presented.…”
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An explainable predictive machine learning model of gangrenous cholecystitis based on clinical data: a retrospective single center study by Ying Ma, Man Luo, Guoxin Guan, Xingming Liu, Xingye Cui, Fuwen Luo

“…We aim to develop an explainable and cost-effective predictive model for GC utilizing ML and Shapley Additive explanation (SHAP) algorithm. Results This study included a total of 1006 patients with 26 clinical features. …”
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Automatic 4-mirrors system for alignment of high-power laser radiation by V.V. Toporovsky, A.G. Alexandrov, I.V. Galaktionov, A.L. Rukosuev, A.V. Kudryashov

“…The successive approximation algorithm was used to minimize the beam deflection. …”
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Research on truck-drone collaborative route planning for rural logistics delivery services by Yong Wang, Suo Yang, Xi Vincent Wang, Lihui Wang

“…Building on this analysis, a collaborative path planning method is proposed, establishing a path optimization model and designing an enhanced simulated annealing algorithm. The effectiveness of this approach is validated through simulation experiments, which reveal that the collaborative delivery system for trucks and drones can significantly boost efficiency, lower costs, and improve service quality. …”
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A New Adaptive Control for Five-Phase Fault-Tolerant Flux-Switching Permanent Magnet Motor by Hongyu Tang, Wenxiang Zhao, Chenyu Gu

“…In order to overcome the influence of parameter variations, according to sliding mode control theory, the virtual control variables and the adaptive algorithm are utilized to approach uncertainty terms. …”
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Identifying the Initial Corrosion Fatigue Failure Based on Dropping Electrochemical Potential by Anja Pfennig, Roman Simkin

“…During engineering of a carbon storage site or geothermal power plant, it may be crucial to determine the failure onset of a component beforehand. Therefore, an algorithm with 93.3% reliability was established based on splitting the measured potential values into ten time series with a capacity of ten values. …”
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A Numerical Method of the Euler-Bernoulli Beam with Optimal Local Kelvin-Voigt Damping by Xin Yu, Zhigang Ren, Qian Zhang, Chao Xu

“…Then, using the control parameterization method, we approximate the finite-dimensional problem by a standard optimal parameter selection problem, which is a suboptimal problem and can be solved numerically by nonlinear mathematical programming algorithm. At last, some simulation studies will be presented by the proposed numerical approximation method in this paper, where the damping controls act on different locations of the Euler-Bernoulli beam.…”
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Robust Framework to Combine Diverse Classifiers Assigning Distributed Confidence to Individual Classifiers at Class Level by Shehzad Khalid, Sannia Arshad, Sohail Jabbar, Seungmin Rho

“…For this purpose, we applied genetic algorithm to search for an optimal weight vector on which classifier ensemble is expected to give the best accuracy. …”
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An Improved Internal Model Principle Based Multivariable Nonlinear Control Method with Multiclass Nonharmonic Disturbances and Its Application to Speed Control of a Motor Drive Sys... by Yang Yu, Zengqiang Mi, Tong Zhao, Yikun Xu

“…The simulation results testify correctness and effectiveness of the presented algorithm.…”
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Multi-Scale Locality-Constrained Spatiotemporal Coding for Local Feature Based Human Action Recognition by Bin Wang, Yu Liu, Wei Wang, Wei Xu, Maojun Zhang

“…We propose a Multiscale Locality-Constrained Spatiotemporal Coding (MLSC) method to improve the traditional bag of features (BoF) algorithm which ignores the spatiotemporal relationship of local features for human action recognition in video. …”
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Optical Design and Simulation of Snapshot Hyperspectral Dental Imaging Spectrometer with One-Dimensional Random Coding by Jiajing Cao, Jun Chang, Yi Huang, Wenxi Wang, Xinran Guo, Shangnan Zhao

“…The target spectral information is reconstructed through the reconstruction algorithm. The simulation result shows that spectral imaging has the potential to improve the accuracy and precision of teeth whiteness measurements.…”
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Dynamic Modeling and Control of Electromechanical Coupling for Mechanical Elastic Energy Storage System by Yang Yu, Zengqiang Mi

“…The simulation results in three different cases show that the proposed nonlinear dynamic model of MEES system is correct; the designed algorithm has a better control performance in contrast with the conventional PI control.…”
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Layout Optimization of Two Autonomous Underwater Vehicles for Drag Reduction with a Combined CFD and Neural Network Method by Wenlong Tian, Zhaoyong Mao, Fuliang Zhao, Zhicao Zhao

“…Then, based on the CFD data, a back-propagation neural network (BPNN) method is used to describe the relationship between the layout parameters and the drag of the fleet. Finally, a genetic algorithm (GA) is chosen to obtain the optimal layout parameters which correspond to the minimum drag. …”
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A Modified Strain‐Wedge Model for Small Strain Rigid Piles in Sand by Yisheng Yin, Dongyuan Wang, Kai Cui

“…ABSTRACT This paper develops a modified strain‐wedge (MSW) model that accounts for the resistance to bending moments caused by the lateral frictional resistance and axial forces of piles in the small‐strain regime in sands and algorithmizes a finite differential analysis program. …”
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SHAPE OPTIMIZATION OF NONLINEAR CURVED BEAM AND DESIGN OF CONSTANT PRESSURE SUPPORT DEVICE by XIE Miao, ZHANG WenZhuo, Ll WeiDong, LlU Jie, ZHOU QingHai, XING XuWen

“…The characteristics of Nonlinear Plane Curved Beam with negative stiffness are briefly described by using B-spline curve. Based on genetic algorithm and nonlinear finite element method , the shape of the nonlinear plane curved beam with negative stiffness is designed and optimized. …”
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Exact makespan minimization of unrelated parallel machines by Åblad, Edvin, Strömberg, Ann-Brith, Spensieri, Domenico

“…Our computational studies indicate that the proposed algorithm is competitive with state-of-the-art methods on different types of instances. …”
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Optimized Sizing, Selection, and Economic Analysis of Battery Energy Storage for Grid-Connected Wind-PV Hybrid System by Hina Fathima, K. Palanisamy

“…The sizing methodology is optimized using bat optimization algorithm to minimize the cost of investment and losses incurred by the system in form of load shedding and wind curtailment. …”
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