Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition by Sajid Ali Khan, Ayyaz Hussain, Abdul Basit, Sheeraz Akram

“…In order to eliminate those redundant features, computationally efficient algorithm is used to select the more discriminative face features. …”
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Radar Selection Method Based on an Improved Information Filter in the LPI Radar Network by Zhenkai Zhang, Bing Zhang, Zhibin Xie, Yi Yang

“…Simulation results show that the proposed algorithm not only saves much more radar resources than other methods but also has excellent tracking accuracy.…”
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Comprehensive Analysis of Fault Diagnosis Methods for Aluminum Electrolytic Control System by Jie-jia Li, Xiao-yan Han, Peng Zhou, Xiao-yu Sun, Na Chang

“…Decision fusion neural network verifies the diagnosis result of the subneural network by the information transferring over the network and gives the decision of fault synthetically. EMD algorithm is used for data preprocessing of current signal in stator of the fault subsystem. …”
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Efficient and real-time lane detection using CUDA-based implementation by El Boussaki Hoda, Latif Rachid, Saddik Amine

“…We implemented and tested this optimised lane detection algorithm on the NVIDIA Jetson Nano and on a desktop, providing a comparative analysis of improvements in efficiency and speed. …”
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Driver identification in advanced transportation systems using osprey and salp swarm optimized random forest model by Akshat Gaurav, Brij B. Gupta, Razaz Waheeb Attar, Ahmed Alhomoud, Varsha Arya, Kwok Tai Chui

“…In this context, this work suggests a new method to find drivers by means of a Random Forest model optimized using the osprey optimization algorithm (OOA) for feature selection and the salp swarm optimization (SSO) for hyperparameter tuning based on driving behavior. …”
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Minimizing Sensor Failures in Wireless Rechargeable Sensor Networks With Obstacles Through Fresnel Diffraction Model by Kun Wang, Zhejun Shen

“…Besides, we also design an effective obstacle avoidance navigation algorithm, which can enable the Mobile Chargers (MCs) to avoid obstacles effectively reducing the moving distances. …”
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A Novel Online Portfolio Selection Strategy with Multiperiodical Asymmetric Mean Reversion by Zijin Peng, Weijun Xu, Hongyi Li

“…The MAMR strategy incorporates a multipiecewise loss function with the moving average method and then imitates the passive-aggressive algorithm. We further provide a solution via convex optimization. …”
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Existence Conditions for Bounded Solutions of Weakly Perturbed Linear Impulsive Systems by Alexander Boichuk, Martina Langerová, Jaroslava Škoríková

“…Under the assumption that the generating system (for ε=0) does not have solutions bounded on the entire real axis for some nonhomogeneities and using the Vishik-Lyusternik method, we establish conditions for the existence of solutions of these systems bounded on the entire real axis in the form of a Laurent series in powers of small parameter ε with finitely many terms with negative powers of ε, and we suggest an algorithm of construction of these solutions.…”
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Research on Gear Modification and Simulation of Hybrid Transmission by Dai Jianhua, Chen Weiwei, Jiang Jibin, Chen Xuewen, Zhang Hui

“…To deal with the phenomenon of partial load of the hybrid transmission gear pair in the actual working process and to solve the eccentric load problems of a hybrid light transmission gear pair, the gear analysis software Romax is used for 3D modeling of the meshing helical gears; one gear pair is simulated and analyzed under the commonly used operating conditions of the hybrid transmission set for operation, and the second-generation genetic algorithm is used for gear modification. The modification results show that the transmission error value, contact load and maximum contact stress of the gear pair are reduced under different working conditions, the offset load of the gear face is improved, and the meshing performance and life of the gear pair are improved, which provides some reference for the modification of the hybrid transmission gear.…”
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Multi-frame blind deconvolution using X-ray microscope images of an in-plane rotating sample by Shinnosuke Kurimoto, Takato Inoue, Hitoshi Aoto, Toshiki Ito, Satsuki Ito, Yoshiki Kohmura, Makina Yabashi, Satoshi Matsuyama

“…Untrained neural networks are employed as the reconstruction algorithm to enable robust reconstruction against stage motion errors caused by the in-plane rotation of samples. …”
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Practical aspects of forecasting the company’s financial performance by V. V. Kookueva, A. A. Aliev, R. I. Khavich

“…The article considers the methodological problems of forecasting key financial indicators related to forecasting the final results of the company. The algorithm for creating refined factor predictive models of financial indicators has been presented and tested. …”
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Research on Distribution and Inventory Cooperation of Agricultural Means Supply Chain by Yanxin Zhu, Jiajing Wang, Lixian Liu

“…By the features of the model, the biobjective genetic algorithm was improved based on elitism selection, aiming to improve the quality of noninferior solution in biobjective model. …”
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A Timetable Optimization Model for Urban Rail Transit with Express/Local Mode by Renjie Zhang, Shisong Yin, Mao Ye, Zhiqiang Yang, Shanglu He

“…In this study, a timetable optimization model is proposed by minimizing the total passenger waiting time at platforms. Further, a genetic algorithm is used to solve the minimization problems in the model. …”
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High Balanced Biorthogonal Multiwavelets with Symmetry by Youfa Li, Shouzhi Yang, Yanfeng Shen, Gengrong Zhang

“…In this paper, we give an algorithm for constructing a pair of biorthogonal symmetric refinable function vectors from any orthogonal refinable function vector, which has symmetric and antisymmetric components. …”
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Optimization of Modified Yagi-Uda Nanoantenna Arrays Using Adaptive Fuzzy GAPSO by Pitther N. Santos, Victor Dmitriev, Karlo Q. da Costa

“…The optimization method used is the adaptive fuzzy GAPSO, which consists of hybridization between genetic algorithm (GA) and particle swarm optimization (PSO), with a fuzzy system employed to adapt the inertial weight ω and the acceleration coefficients C1 and C2 of PSO. …”
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The Effect of Gaussian Blurring on the Extraction of Peaks and Pits from Digital Elevation Models by A. Pathmanabhan, S. Dinesh

“…First, a mathematical morphological-based algorithm to extract peaks and pits from DEMs is developed. …”
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Hardware Implementation of a Fuzzy Logic Controller for a Hybrid Wind-Solar System in an Isolated Site by Aymen Jemaa, Ons Zarrad, Mohamed Ali Hajjaji, Mohamed Nejib Mansouri

“…For this, a hardware implementation of the proposed algorithm is performed using the Xilinx System Generator. …”
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Research on 4G/5G voice quality optimization based on data mining and geographic visualization by Jian HU, Lei SUN, Yiyan YIN, Xiaokang YANG, Jingui BAI, Yejiang ZHANG

“…Traditional voice quality optimization relies on field test, case accumulation and expert experience.It is costly and inefficient to analyze problems by manual test.Through the application of data mining, decision tree machine learning algorithm, geographic visualization and other technologies, a voice experience optimization visualization platform based on big data analysis was developed, which could effectively identify the laws in voice big data, and realize the functions of correlation analysis between user voice experience index and wireless network performance index, intelligent recognition of degradation threshold and image analysis of poor quality areas.It is conducive to reduce the skill threshold of network engineers, improve the work efficiency of network optimization, save network operation and maintenance costs, and provide accurate and effective voice experience improvement solutions for the industry.…”
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Forest based data collection in MR-MC wireless sensor networks by Wei-ping ZHANG, Ya-hong GUO, Meng WANG, Lin-yu NI, Jin-bao LI

“…The limit of node itself and deployment environment of WSN result in the node was prone to failure and diffi-cult to maintain.In the tree-based data collection process,the node failure or lin congestion could result in higher com-munication delay,or even data loss.To solve this problem,a strategy for data collection was proposed which used forest as the routing structure.Firstly,an algorithm for the construction of forest was proposed,and then collect data through trees in the forest.Theoretical analysis and simulation results show that,the method could reduce the loss of data in the data collection process effectively,in the case of 25 fault nodes,the amount of data collected by forest routing structure of 3 trees compared to the amount of data collected from the connected dominating set is more than 55%,and reduce the la-tency of data collection.…”
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The Influence of the Track Parameters on Vibration Characteristics of Subway Tunnel by Wenbo Shi, Linchang Miao, Junhui Luo, Honglei Zhang

“…The time-variant vertical acceleration of the rail, the sleepers, and the surface of the tunnel can be calculated by the models, and the frequency dependence acceleration was verified by the fast Fourier transform algorithm. A modified vibration power level for human sensitivity was used to quantify the vibration energy of each part of the system, and the impact of the parameters in the model was evaluated. …”
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