An Improved EMD-Based Dissimilarity Metric for Unsupervised Linear Subspace Learning by Xiangchun Yu, Zhezhou Yu, Wei Pang, Minghao Li, Lei Wu

“…A series of experiments have been conducted on several well-known face databases to evaluate the effectiveness of the proposed algorithm. In addition, we construct the noise, geometric distortion, slight translation, slight rotation AR, and Extended Yale B face databases, and we verify the robustness of the proposed algorithm when faced with a certain degree of these disturbances.…”
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Differential Grey Wolf Load-Balanced Stochastic Bellman Deep Reinforced Resource Allocation in Fog Environment by S. V. Nethaji, M. Chidambaram

“…A Differential Evolution-based Grey Wolf Optimization algorithm based on load balancing has been developed for optimal resource management. …”
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IRS-assisted D2D system resource allocation and RCG beamforming optimization in H-CRAN by XU Xiaorong, XUE Jishou, WU Jun, BAO Jianrong

“…To solve the formulated mixed-integer non-linear programming problem, a channel-strength-based deferred acceptance algorithm was proposed to obtain channel reuse indicators. …”
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Optimization of the Shunting Operation Plan at Electric Multiple Units Depots by Jintang Shi, Haodong Li

“…A Reduced Variable Neighborhood Search (RVNS) algorithm is designed to improve the solution efficiency. …”
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Investigation of the Relation between South and Southwest Iran\'s Heavy Rainfall with Atmospheric Rivers (ARs). by Nesa sepandar, kamal omidvar

“…In this research, an algorithm based on the calculation of Vertical Horizontal Vapor Transfer Integral (IVT) is used to identify and navigate atmospheric rivers. …”
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Exploring the vulnerability in the inference phase of advanced persistent threats by Qi Wu, Qiang Li, Dong Guo, Xiangyu Meng

“…In this article, we summarize the characteristics of advanced persistent threats traffic and propose the algorithm to make adversarial examples for the advanced persistent threat detection model. …”
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A Dynamic Source Tracing Method for Food Supply Chain Quality and Safety Based on Big Data by Jun Song, Hong Huo, Teng Li, Lingyun Chu

“…Then, this paper applied two data analysis and processing methods—the density-based clustering algorithm and the cosine similarity algorithm—to preliminarily process the collected quality tracing information of each link in the food supply chain and analyzed the influencing factors of food quality. …”
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A New Adaptive Square-Root Unscented Kalman Filter for Nonlinear Systems with Additive Noise by Yong Zhou, Chao Zhang, Yufeng Zhang, Juzhong Zhang

“…Because positive semidefiniteness of Q or R is guaranteed, several shortcomings of traditional Maybeck’s algorithm are overcome. Thus, the stability and accuracy of the filter are greatly improved. …”
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Research on medical small sample data classification based on SMOTE and gcForest by Wenchang LIU, Yun WEI, Haoxuan YUAN, Yue GAO

“…Aiming at the problem of poor classification performance in traditional machine learning models caused by shallow model structure and complex data characteristics in small medical sample data, an combine multi- grained improved cascade forest (cgicForest) model was proposed.It enhances the representation learning ability of the model by adding random sampling into the multi-grained scanning and optimizing the transformation features.It also enhances the model's classification ability by updating the cascade forest’s hierarchical structure.Considering category imbalance problems in datasets, the safe-borderline-SMOTE (SBS) algorithm was proposed to dynamic interpolate around the few class samples belonging to the safety boundary, which can improve the quality of training data.The cgicForest was applied for training and learning, thus the SBS-cgicForest classification model was obtained which can support imbalanced medical small samples data.The model is used on three medical datasets for classification experiments.The results show that the performance indexes of the cgicForest model in the classification of medical small sample data with complex characteristics have increased by 4.1～5.4 percentage points, compared with the multi-grained cascade forest (gcForest) model.The performance indexes have increase by 6.6～11.2 percentage points after the combination with SBS algorithm, the F₁ score was 2～2.5 percentage points higher than that obtained by traditional sampling methods.It provides a reference for solving the classification problem of small medical sample data, and includes support for internet of things applications in smart medical scenarios.…”
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Research on TCN Model Based on SSARF Feature Selection in the Field of Human Behavior Recognition by Wei Zhang, Guibo Yu, Shijie Deng

“…To overcome this problem, this paper investigates a temporal convolutional neural network (TCN) model based on improved sparrow search algorithm random forest (SSARF) feature selection to accurately identify human behavioral traits based on wearable devices. …”
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Research on multi-objective hierarchical site selection coverage of fire station. by Junjie He, Xin Guan, Houjun Lu, Juntao Yang

“…To validate the effectiveness of the proposed model and algorithm, numerical experiments were performed, which took an urban area in China as an example. …”
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Method for Determining the Model Order for Model Order Reduction of the Linear Parameter Varying Heat Conduction Model using the Monte Carlo Method by Akiyasu MIYAMOTO

“…We applied this algorithm to a 3D FEM model with linear parameter varying convective heat transfer. …”
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The Prediction of Pile Foundation Buried Depth Based on BP Neural Network Optimized by Quantum Particle Swarm Optimization by Fei Yin, Yong Hao, Taoli Xiao, Yan Shao, Man Yuan

“…The accuracy of the QPSO-BP algorithm was the highest, which demonstrated the superiority of QPSO-BP in practical engineering.…”
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Experience in the development of assessment tools validation of formation of professional competences of graduates of pedagogical universities by Ekaterina G. Gureeva

“…For future teachers, the formation of competence-based educational results and tools for their evaluation is necessary in the context of the implementation of the requirements of state educational standards at all levels, as well as the requirements of professional standards in secondary vocational and higher education.The article discusses the possibility of assessing the professional competencies of graduates of pedagogical universities, characterized by groups of educational results, emphasizes that the competence-based educational results necessarily include formed experience, defined requirements for the formulation of educational results, provides an algorithm for assessing educational results, on the example of the direction of training «Teacher education» demonstrates the model of professional competence and ways of its evaluation.The proposed list of competence-based educational results can be used in the training of future teachers, and the algorithm for evaluating educational results adapted for other areas of higher education.The results of testing of the evaluation tool showed the readiness of graduates for teaching professional activities, transparency of the evaluation procedure and improving the quality of training of future teachers.…”
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Residential Building Duration Prediction Based on Mean Clustering and Neural Network by Fanrong Ji, Yunquan Nan, Aifang Wei, Peiyan Fan, Zhaoyuan Luo, Xiaoqing Song

“…In this study, a genetic algorithm (GA) was employed to optimize and refine the weights and thresholds of a back propagation (BP) neural network, thereby creating a GA-BP neural network model. …”
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Intensive Cold-Air Invasion Detection and Classification with Deep Learning in Complicated Meteorological Systems by Ming Yang, Hao Ma, Bomin Chen, Guangtao Dong

“…The experimental results show that, compared to other models, the improved faster R-CNN algorithm greatly improves the performance of NITR’s path recognition, especially for the mixed NITR paths and single NITR paths. …”
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Identification model of mine water inrush source based on XGBoost and SHAP by Bencong Kou, Tingxin Wen

“…The model uses Ca2+, Mg2+, K+ + Na+, HCO3 -, Cl-, SO4 2-, Hardness, and pH as discriminators, and the key parameters in the XGBoost model are optimized by introducing the improved sparrow search algorithm. The Sparrow Search Algorithm combines Tent chaos mapping and Levy flight strategy (CLSSA), which makes the optimization process better balance the global search ability and local search ability, so as to improve the efficiency and effect of parameter optimization. …”
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Investigation on Texture Changes and Classification between Cold-Fresh and Freeze-Thawed Tan Mutton by Dongdong Li, Yaling Peng, Haihong Zhang

“…The full spectrum was pretreated by SNV (standard normal variate), MSC (multiple scattering correction), and SNV + MSC and then extracted feature wavelengths by SPA (successive projections algorithm) and CARS (competitive adaptive reweighted sampling) algorithm, and 25 feature wavelengths were obtained. …”
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Model Predictive Engine Air-Ratio Control Using Online Sequential Relevance Vector Machine by Hang-cheong Wong, Pak-kin Wong, Chi-man Vong

“…Moreover, the control algorithm has been implemented on a real car to test. …”
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Spatial Dimension Analysis and Judgement of Abnormal Rainfalls by GAO Yueming, LIN Qinghua, LIU Shupiao, XU Chaoyang

“…The automatic reporting system of water levels and rainfalls is widely used in flood control,hydrology,and meteorology in China.The automatically measured rainfall data is one of the conditions triggering flood control early warning,and its quality and accuracy directly affect the credibility of the warning.In order to avoid false warnings,it is necessary to analyze and filter abnormal rainfalls in real time.This paper explored the correlation of rainfalls in spatial planes and compared the application effects of four statistical methods including the Pauta criterion,Chauvenet criterion,Grubbs test,and Dixon test in the spatial dimension,so as to infer whether the rainfall at a certain point is abnormal.Specifically,the Chauvenet criterion has the optimal comprehensive performance,and its accuracy,precision,recall rate,and F1 score are 0.86,0.78,0.83,and 0.80,respectively.In addition,the Grubbs test and Dixon test obtain similar results,but they both are slightly worse than the Chauvenet criterion since there may be many abnormal rainfalls in regional groups.The Pauta criterion has the worst performance,but its precision is the highest,which is 0.97.In addition,it is effective to optimize rainfalls that have been judged to be abnormal many times by algorithm flows,and the algorithm precision can be significantly improved.It has been proved that it is feasible to judge whether the rainfall at a certain point is abnormal from the spatial plane,which can effectively help water conservancy supervision departments to improve the quality of early warning and reduce labor costs.…”
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