Multiobjective Electric Vehicle Charging Network Planning Considering Chance-Constraint on the Travel Distance for Charging by Yunxiang Guo, Xinsong Zhang, Daxiang Li, Chenghong Gu, Cheng Lu, Ting Ji, Yue Wang

“…The nondominated sorting genetic Algorithm II with the constraint domination principle (NSGA-II-CDP) is customized to solve the developed multiobjective EVCN planning model, by designing a special coding scheme, a crossover operator, and a mutation operator. …”
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Measurement of multidifferential cross sections for dijet production in proton–proton collisions at $$\sqrt{s} = 13\,\text {Te}\hspace{-.08em}\text {V} $$ s = 13 Te V by CMS Collaboration

“…Jets are reconstructed with the anti- $$k_{\textrm{T}} $$ k T algorithm for distance parameters of $$R=0.4$$ R = 0.4 and 0.8. …”
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Cellular Harmony Search for Optimization Problems by Mohammed Azmi Al-Betar, Ahamad Tajudin Khader, Mohammed A. Awadallah, Mahmmoud Hafsaldin Alawan, Belal Zaqaibeh

“…Structured population in evolutionary algorithms (EAs) is an important research track where an individual only interacts with its neighboring individuals in the breeding step. …”
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Drug-Gene Interaction Prediction Method through Cross Granularity Subgraph Contrastive Learning and Attention Mechanism Fusion by HU Dongdong, PENG Yang, TAN Shuqiu, ZHU Xiaofei

“…At present, the graph neural network method based on the random walk algorithm has achieved great results in identifying drug-gene interaction relationships. …”
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Daily Activity Monitoring and Fall Detection Based on Surface Electromyography and Plantar Pressure by Xugang Xi, Wenjun Jiang, Zhong Lü, Seyed M. Miran, Zhi-Zeng Luo

“…A feature-level fusion method, named as the global canonical correlation analysis of weighting genetic algorithm, was proposed to reduce dimensions. For the problem in which the number of daily activities is considerably more than the number of fall activities, Weighted Kernel Fisher Linear Discriminant Analysis (WKFDA) was proposed to classify gait and fall. …”
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Classical eikonal from Magnus expansion by Joon-Hwi Kim, Jung-Wook Kim, Sungsoo Kim, Sangmin Lee

“…We exploit a Hopf algebra structure behind the Magnus expansion to develop a fast algorithm which can compute the tree coefficients up to the 12th order (over half a million trees) in less than an hour. …”
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Intelligent Video Surveillance Technology in Intelligent Transportation by Fangcheng He

“…Through the study of intelligent video surveillance technology in intelligent traffic, the use of constrained least squares algorithm to remove motion blur and apply Kalan filtering to the sharpening process is used to eliminate noise ambiguity and make a brief introduction to various classic moving target detection methods to realize real-time monitoring of intelligent traffic conditions and continuously adjust and verify the monitoring situation, and then establish intelligent video in intelligent traffic monitoring technology research system. …”
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Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels by Xujiong Ye, Gareth Beddoe, Greg Slabaugh

“…Finally, a graph cut algorithm groups the superpixels using a novel energy formulation that incorporates shape, intensity, and spatial features. …”
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Evaluation and prediction of coal seam mining mode: Coefficient of Variation-TOPSIS and CNN-NGO methods by Haixiong Li, Fei Wang

“…In addition, a Convolutional Neural Network (CNN) regression model was constructed and optimized with the Northern Goshawk Optimization (NGO) algorithm, resulting in a more precise CNN-NGO prediction model. …”
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Experimental evaluation of DC-DC buck converter based on adaptive fuzzy fast terminal synergetic controller by Zahira Anane, Badreddine Babes, Noureddine Hamouda, Omar Fethi Benaouda, Saud Alotaibi, Thabet Alzahrani, Dessalegn Bitew Aeggegn, Sherif S. M. Ghoneim

“…The benefits of the proposed SC algorithm involve the features of finite-time convergence, unaffected by parameter variations, and chattering-free phenomenon. …”
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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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Research on upper limb rehabilitation assessment model based on belief rule base by Dawei Jiang, Zixu Zhao, Lijun Wang, Chao Zhang, Meixuan He, Tiejun Ji

“…We then optimized the BRB model’s evaluation accuracy using the Fmincon algorithm and compared its result with commonly used methods such as the Back Propagation (BP) neural network and Support Vector Machine (SVM). …”
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Polystyrene Microsphere Optical Properties by Kubelka–Munk and Diffusion Approximation with a Single Integrating Sphere System: A Comparative Study by Ali Shahin, Wesam Bachir, Moustafa Sayem El-Daher

“…Complex refractive index of polystyrene based on these two methods was determined. Inverse Mie algorithm with scattering coefficient was also used to retrieve the real part of refractive index and absorption coefficient for calculating the imaginary part of refractive index. …”
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Evaluation of Contemporary Computational Techniques to Optimize Adsorption Process for Simultaneous Removal of COD and TOC in Wastewater by Areej Alhothali, Hifsa Khurshid, Muhammad Raza Ul Mustafa, Kawthar Mostafa Moria, Umer Rashid, Omaimah Omar Bamasag

“…This study was aimed at evaluating the artificial neural network (ANN), genetic algorithm (GA), adaptive neurofuzzy interference (ANFIS), and the response surface methodology (RSM) approaches for modeling and optimizing the simultaneous adsorptive removal of chemical oxygen demand (COD) and total organic carbon (TOC) in produced water (PW) using tea waste biochar (TWBC). …”
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Sonoelectrochemical Synthesis of Antibacterial Active Silver Nanoparticles in Rhamnolipid Solution by Mariana Shepida, Orest Kuntyi, Martyn Sozanskyi, Yuriy Sukhatskiy

“…It is shown that the algorithm of anodic dissolution—reduction of Ag(I)—nucleation, and formation of AgNPs makes it possible to obtain nanoparticles with the size from 1 nm to 3 nm. …”
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Rotating Flows Driven by Axisymmetric Blades in a Cylinder by Jae Won Kim

“…It is also flexible to suit any number of blades attached on the rotating bottom disk. The algorithm for the numerical computation is based on the SIMPLE release by Patankar, and the results are validated with prior published data. …”
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AADL architecture model construction based on FACE mode by LYU Guangzhe, YU Chunhai, KANG Kai, MA Chunyan, LIN Wei

“…Then, the StringTemplate template is designed based on the mapping rules, and the template engine algorithm for generating AADL model is given. Finally, a total of 12 kinds of FACE models elements in four aspects are taken as experimental objects, 241 FACE model instances are designed as test cases, and the generated AADL models are verified in the OSATE tool. …”
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Results of interlaboratory comparison tests of geosynthetic material by A. V. Kozlov

“…The most and least statistically homogeneous physical and mechanical parameters of geogrids were determined under the conditions of reproducibility of measurement results for each of the indices obtained in different laboratories and by various measuring instruments using an algorithm based on Z-scores.Results. According to the totality of the test results, the quality of the work of the majority of testing laboratories can be considered as satisfactory. …”
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Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks by Zixi Jia, Bo Guan

“…Supposing the noise has a certain degree of correlation in a certain time interval, received signal strength difference can effectively reduce the negative impact from noise. The tracking algorithm based on received signal strength difference is built: The sensor nodes collectively estimate a possible zone of the target via the signs of received signal strength difference. …”
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