Metro Shield Machine Attitude Prediction Method Integrating Excavation Index and Support Vector Regression by ZHANG Zhen, LIANG Jie, ZHANG Yulong, CHEN Tie, LIU Gang

“…The shield machine attitude prediction model is established using support vector regression method, which has advantages in small sample learning. …”
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SATF: a flight trajectory prediction method incorporating spatial awareness and time–frequency transformation by Jizhao Zhu, Zhuang Zhuang, Bing Han, Liang Zheng, Xinlong Pan

“…Extensive experiments are conducted on real-world Automatic Dependent Surveillance-Broadcast (ADS-B) datasets to evaluate the effectiveness of the proposed method. …”
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Low-cycle fatigue life prediction method for stud connectors based on interpretable machine learning by Jianan Pan, Xiaoling Liu, Bing Wang, Ying Liu

“…This study aims to develop a high-precision prediction model for low-cycle fatigue life using machine learning methods, providing a new approach for material performance evaluation. …”
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Short-Term Power Load Prediction Based on Level Processing Method and Improved GWO Algorithm by Yuntong Li

“…In the field of short-term power load prediction, the current prediction methods have low prediction accuracy. …”
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An Efficient Deep Learning Method for Typhoon Track Prediction Based on Spatiotemporal Similarity Feature Mining by Kaiwen Lixia, Mingyue Lu, Yifei Lu, Hui Liu, Ping Li

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DEVELOPMENT OF HEALTH INSURANCE CLAIM PREDICTION METHOD BASED ON SUPPORT VECTOR MACHINE AND BAT ALGORITHM by Syaiful Anam, Abdi Negara Guci, Fery Widhiatmoko, Mila Kurniawaty, Komang Agus Arta Wijaya

“…Therefore, filing claims by insurance users from year to year is important to be predicted in insurance firm. The Machine Learning (ML) method promises to be a good solution for predicting health insurance claims compared to conventional data analytics methods. …”
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Prediction of Flexural Ultimate Capacity for Reinforced UHPC Beams Using Ensemble Learning and SHAP Method by Zhe Zhang, Xuemei Zhou, Ping Zhu, Zhaochao Li, Yichuan Wang

“…This substantial improvement in performance prediction of the flexural capacity for reinforced UHPC beams is notable when compared to existing empirical methods. …”
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Protein structure prediction via deep learning: an in-depth review by Yajie Meng, Zhuang Zhang, Chang Zhou, Xianfang Tang, Xinrong Hu, Geng Tian, Jialiang Yang, Yuhua Yao, Yuhua Yao, Yuhua Yao

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Role of Unenhanced Computed Tomography of the Chest in the Prediction of Anaemia: A Cross-sectional Study by Rajani Thakur, Tarani Chetana Naga Sai, Sankeerteerth Kendyala, Varigonda Mahidhar

“…Conclusion: The presence of an IVS on an unenhanced CT predicts the likelihood of underlying anaemia and suggests the need for further evaluation and timely management.…”
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Evaluating Inertial Parameter Uncertainty in High-Acceleration Movements and Improving Predictions Through Identification Using Free Vibration Measurements by Takahiro Homma, Hiroshi Yamaura

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Application of Reliability Prediction Technology in Railway Signal Products by XU Zhengjie

“…Then, the component stress method is used to predict its reliability. At last,according to the comparison between the reliability prediction results and the required reliability indexes, it evaluates whether the design method meets the requirements. …”
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Vibration Response and Evaluation Method of High-Speed Tracked Vehicles Driving Off-Road by Xin-yong Qiao, Ying Jin, Cheng Gu

“…In the stage of vehicle demonstration and development, equipment finalization test, and equipment service, an important role is played by the mobility prediction and evaluation method of tracked vehicles under complex road conditions, in which vehicle vibration response evaluation is the main content of off-road mobility prediction and evaluation. …”
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Hybrid Model–Data-Driven Radar Jamming Effectiveness Evaluation Method for Accuracy Improvement by Runyang Chen, Yi Zhang, Xiuhe Li, Jinhe Ran, Qianqian Shi

“…Finally, the validity of the method is proved by simulation experiments, which show that the method is capable of effectively improving the accuracy of prediction and evaluation, and has good practicability. …”
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Psychological Stress Identification and Evaluation Method Based on Mobile Human-Computer Interaction Equipment by Na Zhang

“…The ideal power values and triggers are obtained in the Hopfield network model using genetic algorithm, which best avoids the drawbacks of the Hopfield network model instillation learning method. Through the BP of mobile human-computer interaction equipment, hereditary, genetic algorithms, and Hi-PLS regression method in the artificial neural network, the psychological pressure of college students is identified, evaluated, and predicted from three dimensions such as learning, life, and personal events. …”
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Experimental Study on Special Testing Strength Curve for Compressive Strength Evaluation by Rebound Method by Wei Yuan, Renfeng Yang, Jianyou Yu, Xiujie Han

“…This article aims to improve the accuracy and predictability of rebound method in compressive strength evaluation of concrete members of the Yanchong Expressway, which is an important traffic guarantee project for the 2022 Winter Olympics Games in Zhangjiakou city, Hebei Province, China. …”
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Study on Quantitative Evaluation Method of Balance Ability in Cancer Patients Based on Gait Features by Junjie LIU, Xu ZHOU, Chao YU, Qingqing CAO, Zhiming YAO, Wanqiu ZHANG, Ling ZHANG, Wanqing YAO, Ning LIN

“…Ridge, Elastic Net, SVR, RF, and AdaBoost models were used to predict balance ability scores. Five-fold cross-validation was used to evaluate the performance of these models. …”
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Flow Modeling in Pelton Turbines by an Accurate Eulerian and a Fast Lagrangian Evaluation Method by A. Panagiotopoulos, A. Židonis, G. A. Aggidis, J. S. Anagnostopoulos, D. E. Papantonis

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Study on precision reliability evaluation method of harmonic drive based on NIPCE considering wear by Xian Zhang, Changming Zhang, Peng Wang, Chunlei Peng, Fan Yang

“…Abstract A dynamic reliability evaluation method for precision of harmonic drive considering wear is proposed to estimate the precision reliability of harmonic drive precisely for precision degradation failure prediction and proactive maintenance. …”
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A rock brittleness evaluation method in interbedded reservoirs based on statistical damage constitutive by Zhuang Liu, Tingen Fan, Zongjun Wang, Renfeng Yang, Hongjun Fan, Haifeng Wang, Nachuan Hu

“…This evaluation method is more sensitive to strongly heterogeneous formations and is more objective considering the cumulative impact of internal and external conditions without biased energy weighting.…”
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A Fatigue Evaluation Method for Radial Tire Based on Strain Energy Density Gradient by Chen Liang, Zhi Gao, Shengkang Hong, Guolin Wang, Bentil Mawunya Kwaku Asafo-Duho, Jieyu Ren

“…This research aims to establish a reasonable fatigue evaluation and optimization method that effectively improves tire fatigue life. …”
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