Beam Shaping of a Dual-Reflector Antenna Using a Reflectarray as Subreflector and Embedded Unit Cell Patterns by Marzieh Mehri Dehnavi, Jean-Jacques Laurin

“…The beam shaping capability of the algorithm is demonstrated with simulations of a 100-element reconfigurable circularly polarized reflectarray, by controlling independently the 10 dB beamwidth of the antenna in two orthogonal planes The algorithm is also validated experimentally. …”
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Construction of Mathematical Model of Logistics Delivering Based on Intelligent Mobilization by Haijun Liang, Jing Guo

“…The results show that compared with the traditional genetic algorithm, the accuracy of the improved particle swarm optimization algorithm is improved by 10.36%. …”
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Fault Diagnosis and Prediction of Continuous Industrial Processes Based on Hidden Markov Model-Bayesian Network Hybrid Model by Jiarula Yasenjiang, Chenxing Xu, Shengpeng Zhang, Xin Zhang

“…To alleviate this problem, a hidden Markov model-Bayesian network (HMM-BN) hybrid model is proposed to alleviate the local optimum problem in the EM algorithm and diagnose the fault root cause variable. …”
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Industrial Robot Vibration Anomaly Detection Based on Sliding Window One-Dimensional Convolution Autoencoder by ZhiDan Zhong, Yao Zhao, AoYu Yang, HaoBo Zhang, DongHao Qiao, ZhiHui Zhang

“…Secondly, the sliding window algorithm is used for data enhancement, and the dropout technique is introduced to improve the generalization ability of the model. …”
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Path Planning of Unmanned Helicopter in Complex Environment Based on Heuristic Deep Q-Network by Jiangyi Yao, Xiongwei Li, Yang Zhang, Jingyu Ji, Yanchao Wang, Yicen Liu

“…Aiming at this problem, a heuristic deep Q-network (H-DQN) algorithm is proposed. First, as part of the comprehensive reward function, a heuristic reward function is designed. …”
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Study on Early Warning of Karst Collapse Based on the BP Neural Network by Dongqin Chen

“…The stress of the sliding surface is fitted according to the spatial stress relationship of the deep karst layer through the improved BP neural network PID control algorithm and BP neural network algorithm, which avoids the modeling and mesh generation of the complex sliding block and has good accuracy and ease of use. …”
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Research on Optimization Model of Logistics Transportation Truck Path considering Environmental Impact: Experimental Data from Xiqing District, Tianjin by Qianqian Han, Yao Sun, Qingdong Wu, Zijian Bai

“…In this context, this paper put forward a truck path optimization model considering environmental impact (TPOM-EI), which is solved by a heuristic algorithm—ant colony optimization (ACO) algorithm. …”
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Method of Evaluating and Predicting Traffic State of Highway Network Based on Deep Learning by Jiayu Liu, Xingju Wang, Yanting Li, Xuejian Kang, Lu Gao

“…Based on the deep learning theory, this paper proposes an evaluation and prediction model of highway network traffic state, which consists of a Fuzzy C-means (FCM) algorithm-based traffic state partition model, a Long Short-Term Memory (LSTM) algorithm-based traffic state prediction model, and a K-Means algorithm-based traffic state discriminant model. …”
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A robust transfer learning approach for high-dimensional linear regression to support integration of multi-source gene expression data. by Lulu Pan, Qian Gao, Kecheng Wei, Yongfu Yu, Guoyou Qin, Tong Wang

“…In the oracle case with known transferable source datasets, a transfer learning algorithm based on penalized maximum likelihood and expectation-maximization algorithm is established. …”
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A Fast and Efficient Markov Chain Monte Carlo Method for Market Microstructure Model by Sun Yapeng, Peng Hui, Xie Wenbiao

“…A fast and efficient Markov Chain Monte Carlo (MCMC) approach based on an efficient simulation smoother algorithm and an acceptance-rejection Metropolis–Hastings algorithm is designed to estimate the non-linear MM model. …”
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Influence of Error in Estimating Anisotropy Parameters on VTI Depth Imaging by S. Y. Moussavi Alashloo, D. P. Ghosh, Y. Bashir, W. Y. Wan Ismail

“…In this study, an isotropic and anelliptic VTI fast marching eikonal solvers are employed to obtain seismic travel times required for Kirchhoff depth migration algorithm. The algorithm solely uses compressional wave. …”
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Integrated Scheduling Problem on a Single Bounded Batch Machine with an Unavailability Constraint by Jing Fan

“…We also evaluate the performance of the approximation algorithm by the computational results.…”
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A Top-Down Clustering and Cluster-Tree-Based Routing Scheme for Wireless Sensor Networks by H. M. N. Dilum Bandara, Anura P. Jayasumana, Tissa H. Illangasekare

“…We propose a configurable top-down cluster and cluster-tree formation algorithm, a cluster-tree self-optimization phase, a hierarchical cluster addressing scheme, and a routing scheme. …”
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Application of Multimedia Semantic Extraction Method in Fast Image Enhancement Control by Yuyang Gao, Ming Chen, Shouqing Du, Guofu Feng

“…The experimental results show that, compared with the traditional Retinex enhancement algorithm and the DCT compression domain enhancement algorithm, the algorithm has better detail enhancement and color preservation effects and can better suppress the block effect.…”
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Evaluation of the Fluctuation Mechanism of Behavioral Financial Market Based on Edge Computing by Xiaoliang Yuan

“…Therefore, in order to give full play to the role of edge computing and promote the controllability of behavioral financial market volatility, this paper used the calculation task load model algorithm, time slot length optimization algorithm, asymmetric thick-tail random fluctuation, and volatility analysis application algorithm to study the subject of how to learn to reduce financial market volatility, summarizing and discussing the experiment. …”
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A Splay Tree-Based Approach for Efficient Resource Location in P2P Networks by Wei Zhou, Zilong Tan, Shaowen Yao, Shipu Wang

“…Several simulations are presented to evaluate the performance of the algorithm and support our analytical findings. The simulation results show the efficiency of SChord.…”
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Intelligent Scheduling Method Supporting Stadium Sharing by Lei Fang

“…In addition, the proposed algorithm uses the secondary transfer of more tasks to reduce the pressure of local task running. …”
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Application of Internet of Things Based on Big Data Ecosystem in Factory Energy Consumption Analysis Model by Ang Li, Chen Zhang, Lei Li

“…In 2019, the average ratio of decision tree algorithm, machine learning algorithm, and machine learning algorithm was 36.8%, 37.4%, and 43.5%, respectively. …”
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A Complete Subspace Analysis of Linear Discriminant Analysis and Its Robust Implementation by Zhicheng Lu, Zhizheng Liang

“…In order to address this problem, we revisit linear discriminant analysis in this paper and propose a stable and effective algorithm for linear discriminant analysis in terms of an optimization criterion. …”
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Road Surface State Recognition Based on SVM Optimization and Image Segmentation Processing by Jiandong Zhao, Hongqiang Wu, Liangliang Chen

“…In order to improve the recognition accuracy and the universality, a grid searching algorithm and PSO (Particle Swarm Optimization) algorithm are used to optimize the kernel function factor and penalty factor of SVM. …”
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