Research on PRBP Neural Network Flood Forecasting Model in Chongyang River Basin by SI Qi, JIN Baoming, LU Wangming, CHEN Zhaoqing

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Research on measurement of supply chain finance credit risk based on Internet of Things by Waseem Ahmed Abbasi, Zongrun Wang, Yanju Zhou, Shahzad Hassan

“…This will facilitate the revision and improvement of the existing credit evaluation system and improve the accuracy of measuring the current financial risk of supply chain. This research adopts the Internet of Things to measure financial credit risk in supply chain and provides a reference for the following researches.…”
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Innovation and Research of Digital Artwork Design Based on Big Data and Integrated Media by Wenbin Zhai

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Research on multidimensional dynamic defense strategy for microservice based on deep reinforcement learning by Dacheng ZHOU, Hongchang CHEN, Weizhen HE, Guozhen CHENG, Hongchao HU

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Research of Multi-objective Parameter Decoupled Optimization Method for Hybrid Electric Vehicle by Yiran Zhang, Han Zhao, Kang Huang, Mingming Qiu

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Fault Diagnosis Research on Bearingof Motor Based on LMD And Support Vector Machine by YIN Zhao-jie, XU Tong-le, ZHENG Dian-kun

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Design and Research of the AI Badminton Model Based on the Deep Learning Neural Network by Yujue Chen, He Hu

“…In order to test its feasibility, the study compares the MNN inference engine with the traditional reasoning engine in terms of their algorithmic capabilities and compares the results obtained through this algorithm and traditional online motion app. …”
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Research and Application of an Online Train ConditionMonitoring Method Based on Streaming Data by FENG Furen

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Research and application of intelligent learning path optimization based on LSTM-Transformer model by Jinling Wang, Wandong Chai

“…Experimental comparison shows that compared with the traditional learning path recommendation algorithm, the optimization strategy based on the LSTM-Transformer model has achieved remarkable results, with the learner's knowledge mastery rate greatly increased from 75 % to 95 %, the learning time shortened by about 25 %, and the learning satisfaction also increased from 70 % to 90 %, which verifies the research hypothesis and fully proves that the LSTM-Transformer model has high application value in intelligent learning path optimization.…”
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Research on Reliability Test Cycle of Drive Motor System Based on User Model by LIU Haichao, SHEN Dingjian, TANG Xionghui, LIU Chuande, LIU Jiaxiang

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Research on Marketing Problems and Optimization Strategies of ByteDance in the Era of Big Data by Liu Yan

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Research on over-the-horizon air combat guidance method based on dynamic RCS by SONG Shaomei, YU Yifei, LI Gai, YANG Qiming, ZHANG Jiandong

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Research on Highly Real-Time and High Precision Localization Method for Rail Transit by HUANG Wenyu, PAN Wenbo, LI Yuanzhengyu, CHEN Zhiwei, YANG Zhenyu, YUAN Chao

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Research on status monitoring and positioning compensation system for digital twin of parallel robots by Yuting Zhang, Pei Gao, Zongyan Wang, Quanling He

“…Furthermore, an improved IPSO-SSA-DBP algorithm calibrates the kinematics and predicts the position error. …”
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Research on the Influence of Composite Modification Design on Tooth Surface Wear of Transmission Gears by Bai Xiaoning, Li Yonghua, Wang Denglong, Zhang Dongxu

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Research on the Exchange Rate Forecast of the Pound Sterling and the Dollar Based on Neural Networks by Chen Jiantao, Song Yining

“…During the training phase, the back-propagation algorithm is employed to reduce prediction errors, and rigorous cross-validation techniques are utilized to precisely evaluate the model's performance. …”
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Research on Accelerated Degradation Test Design and Life Prediction for Aluminum Electrolytic Capacitor by YANG Tao, WANG Xu, XIAO Jianglin

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Research on Default Prediction for Credit Card Users Based on XGBoost-LSTM Model by Jing Gao, Wenjun Sun, Xin Sui

“…XGBoost, which is widely used in financial classification models, and Long-Short Term Memory (LSTM), which is widely used in time-series information, were selected for comparative research. The accuracy of the XGBoost model depends on the degree of expertise in feature extraction, while the LSTM algorithm can achieve higher accuracy without feature extraction. …”
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Research on Optimal Sensor Placement Based on Reverberation Matrix for Structural Health Monitoring by Hai-feng Yang, Zi-yan Wu, Shu-kui Liu, Hong-bin Sun

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POSSIBILITIES OF INTEGRATED CONTROL OF ENERGY AND ENVIRONMENTAL CHARACTERISTICS OF BUILDING STRUCTURES AT THE RESEARCH BENCH by D. F. Karpov, A. A. Sinitsyn

“…Options have been proposed to solve this problem through the integrated monitoring of some energy-ecological characteristics of the building structures of buildings and structures at the laboratory-experimental research stand “energy source - energy receiver”. The algorithm for identification of thermodynamic forces, flows, properties, changes and reproduction of entropy in the system “energy source - energy receiver”, a functional model and hierarchical representation of a three-level open thermodynamic system “energy source - energy receiver” are presented, some calculated results -experimental determination of the eco-energy characteristics of a fragment of the building envelope by the example of a brick wall.Conclusion. …”
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