Substation Inspection Safety Risk Identification Based on Synthetic Data and Spatiotemporal Action Detection by Chengcheng Liu, Weihua Zhang, Weijin Xu, Bo Lu, Weijie Li, Xuefeng Zhao

“…To address this issue, this study first introduces a virtual work platform, which includes a controller for the parameterized control of scenarios and human resources. …”
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The Application of Artificial Digital Models in X-Ray Computed Tomography (CT) of the Core in Solving the Problem of Binarization of the Void Space of Reservoir Rocks by O. A. Melkishev, Y. V. Savitsky, S. V. Galkin

“…The main advantage of using phantoms is complete control over the set pore space parameters and X-ray density of the skeleton, which cannot be achieved on real samples.A computational experiment was conducted in the work, where 124 core phantoms with specific porosity characteristics were generated using numerical modeling. …”
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Identification of glucocorticoid-related genes in systemic lupus erythematosus using bioinformatics analysis and machine learning. by Yinghao Ren, Weiqiang Chen, Yuhao Lin, Zeyu Wang, Weiliang Wang

“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. We conducted Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) to investigate biological functional differences, and we also conducted CIBERSORTx to estimate the number of immune cells. …”
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The diagnostic efficacy of seven autoantibodies in early detection of ground-glass nodular lung adenocarcinoma by Hua Guo, Wei Zhao, Chunsun Li, Zhen Wu, Ling Yu, Miaoyu Wang, Yuanhui Wei, Zirui Wang, Shangshu Liu, Yue Yin, Zhen Yang, Liangan Chen

“…Our study set cut-off values for seven autoantibodies in identifying GGNs no more than 3cm and constructed a machine learning model for effective diagnosis. …”
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A neural network design for black-box identification of converter impedance models in arbitrary operating conditions by CHEN Bing, ZHAO Chongbin, JIANG Qirong, WANG Xu, WANG Fangming

“…In the model verification phase, the network is fed with set operating conditions, achieving highly accurate identification of stable operating conditions and offline prediction.…”
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Chess Position Evaluation Using Radial Basis Function Neural Networks by Dimitrios Kagkas, Despina Karamichailidou, Alex Alexandridis

“…The proposed approach introduces models based on the radial basis function (RBF) neural network architecture trained with the fuzzy means algorithm, in conjunction with a novel set of input features; different methods of network training are also examined and compared, involving the multilayer perceptron (MLP) and convolutional neural network (CNN) architectures and a different set of input features. …”
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Identification and Classification of Risks in Trade by G. P. Fomin

“…Trade operations are not always conducted smoothly, sometimes errors can be observed, deviations from the set mechanism of economic process development can take place due to some reasons and because of those undesirable effects, damages can turn up, which in their turn can cause subsequent adverse phenomena. …”
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Common diagnostic biomarkers and molecular mechanisms of Helicobacter pylori infection and inflammatory bowel disease by Minglin Zhang, Tong Liu, Lijun Luo, Yi Zhang, Qijiao Chen, Fen Wang, Yuxin Xie

“…Validation of the Hub genes was performed in the validation set. Immune analysis was conducted via the CIBERSORT algorithm. …”
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Construction of a risk prediction model for occupational noise-induced hearing loss using routine blood and biochemical indicators in Shenzhen, China: a predictive modelling study by Wenting Feng, Wen Zhang, Yan Guo, Naixing Zhang, Liang Zhou, Dafeng Lin, Linlin Chen, Caiping Li, Liuwei Shi, Xiangli Yang, Peimao Li, Dianpeng Wang

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A Pilot Study: Sleep and Activity Monitoring of Newborn Infants by GRU-Stack-Based Model Using Video Actigraphy and Pulse Rate Variability Features by Ádám Nagy, Zita Lilla Róka, Imre Jánoki, Máté Siket, Péter Földesy, Judit Varga, Miklós Szabó, Ákos Zarándy

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Importance Analysis of Causative Nodes for Accident Chains of Railway Locomotive Operation Based on STPA-PageRank Method by Ping WAN, Wei-Lun YANG, Jie-Wen LUO, Xiao-Feng MA

“…Firstly, 68 sets of data of railway locomotive operation accidents happened in recent two years were collected and compiled. …”
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Building Thermal Comfort Research Based on Energy-Saving Concept by Feiran Xue, Jingyuan Zhao

“…First of all, this article introduces the concept and application mode of energy-saving concepts in buildings and the concept of thermal comfort and the SET index of standard effective temperature, including the two-node model and the algorithm involved in the Fanger heat balance equation. …”
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Perspective-n-Point in Practice: Performance, Robustness, and Accuracy for Mesh-Based Localisation by F. Vultaggio, F. Vultaggio, P. Fanta-Jende, M. Gerke

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Exploration of the shared gene signatures and molecular mechanisms between cardioembolic stroke and ischemic stroke by Xuan Wang, Xuan Wang, Xueyuan Liu, Xueyuan Liu

“…Protein-protein interaction (PPI) network and topology analyses were conducted to identify the core shared genes. Three machine learning algorithms were employed to detect biomarkers from the core shared genes, and the diagnostic value of the hub genes was evaluated by establishing a predictive nomogram. …”
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Endocranial Morphology in Metopism by Silviya Nikolova, Diana Toneva, Gennady Agre

“…This study aimed to compare the endocranial space in metopic and control crania using morphometric analysis and machine learning algorithms. …”
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Evaluation of Peltier Cooling Vest by Vin Klein A. Talamayan, Mharlon Jefferson S. A. Yalung, Jessie R. Balbin

“…Furthermore, an intelligent control algorithm was developed to maintain target temperatures. …”
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Correlation learning based multi-task model and its application by XU Wei, LUO Jianping, LI Xia, CAO Wenming

“…The experiments are conducted on the multi-task version of the Mixed National Institute of Standards and Technology (MNIST) database and the comprehensive data set with controllable task correlation. …”
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Observer of changes in the forest of the shortest paths on dynamic graphs of transport networks by N. V. Khajynova, M. P. Revotjuk, L. Y. Shilin

“…The purpose of the work is the development of basic data structures, speed-efficient and memoryefficient algorithms for tracking changes in predefined decisions about sets of shortest paths on transport networks, notifications about which are received by autonomous coordinated transport agents with centralized or collective control. …”
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Out-of-Step Protection for a Synchronous Generator via Energy Function-Based Stability Assessment Using a Single Local Speed Measurement by Jongju Kim

“…These case studies evaluate the robustness of the proposed criteria and algorithm in determining out-of-step conditions from an energy conversion perspective, analyzing variations in system inertia, control system parameters, power system scale, and fault scenarios across benchmark systems. …”
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Research on energy management strategies for high-power diesel-electric hybrid tractors based on double deep Q-network by Yiwei Wu, Yifan Zhao, Changkai Wen, Junjiang Zhang, Xianghai Yan

“…Abstract Addressing the issues of complex parameter tuning and challenging online application of control algorithms for energy management strategies in current hybrid tractors. …”
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