Risk Prediction of Sports Events Based on Gray Neural Network Model by Zhihui Wang

“…In this paper, neural network is used as a predictive network modeling method, with the support of MATLAB Neural Toolbox, based on the implementation of predictive research. …”
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EMD-GM-ARMA Model for Mining Safety Production Situation Prediction by Menglong Wu, Yicheng Ye, Nanyan Hu, Qihu Wang, Huimin Jiang, Wen Li

“…The PSO-SVM model’s prediction accuracy decreases in medium- and long-term predictions while the EMD-GM-ARMA model still can maintain high prediction accuracy. …”
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Development of a Predictive Model of Tuberculosis Transmission among Household Contacts by Saibin Wang

“…The aim of this study was to develop a predictive model of TB transmission among household contacts. …”
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The use of information technologies to predict and diagnose the psychological trauma of servicemen – combatants by O. S. Kolesnichenko, S. A. Gorelyshev

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A Prediction Model of Structural Settlement Based on EMD-SVR-WNN by Xianglong Luo, Wenjuan Gan, Lixin Wang, Yonghong Chen, Xue Meng

“…According to the different characteristics of random items and trend items, WNN and SVR methods are, respectively, used for prediction, and the final settlement prediction is obtained by integrating the prediction results. …”
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Machine Learning-Based Lithium Battery State of Health Prediction Research by Kun Li, Xinling Chen

“…The PSO algorithm was employed to optimize model parameters, resulting in the construction of three predictive models: PSO-LSTM, PSO-CNN, and PSO-SVR. The models were validated using the NASA PCoE battery aging datasets B0005, B0006, and B0007, with prediction accuracy evaluated based on Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Coefficient of Determination (R²). …”
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Minimum Description Length and Multi-Criteria Decision Analysis in Predictive Modeling by Petr Silhavy, Katerina Hlavackova-Schindler, Radek Silhavy

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Interpersonal, not existential, adversities predict postwar deterioration in youth social support by Kelly E. Dixon, Christopher M. Layne, Kimberly S. Ho Misiaszek, Chloe Golden

“…Prewar disruptions in attachment relationships predicted deteriorations in perceived social support across all network sectors, and wartime/postwar interpersonal adversities exerted differential (sector-specific) predictive effects on perceived social support. …”
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Models for Strength Prediction of High-Porosity Cast-In-Situ Foamed Concrete by Wenhui Zhao, Junjie Huang, Qian Su, Ting Liu

“…A simple prediction model is put forward when no experimental data are available.…”
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Deep learning for stage prediction in neuroblastoma using gene expression data by Aron Park, Seungyoon Nam

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Machine Learning with Tunicate Swarm Optimization for Improved Disc Herniation Prediction by Theofilos Gofas, Argyros Maris

“…These findings unequivocally underscore the superior predictive capability of the LRTS model in forecasting discherniation.…”
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Comparison of Predictive Equations for Resting Energy Expenditure in Overweight and Obese Adults by Erick Prado de Oliveira, Fábio Lera Orsatti, Okesley Teixeira, Nailza Maestá, Roberto Carlos Burini

“…To compare values from predictive equations of resting energy expenditure (REE) with indirect calorimetry (IC) in overweight and obese adults. …”
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An Optimal Control of Energy Storage Systems Using Wind Power Prediction by Kenta Koiwa, Tomonori Tashiro, Tomoya Ishii, Tadanao Zanma, Kang-Zhi Liu

“…This paper develops an optimal control method of energy storage systems (ESSs) that utilizes WPP output prediction to mitigate WPP output fluctuation. In the proposed method, an output reference of ESS can be obtained as the solution of an optimization problem. …”
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Prediction of Sentinel Node Status and Clinical Outcome in a Melanoma Centre by Vera Teixeira, Ricardo Vieira, Inês Coutinho, Rita Cabral, David Serra, Maria José Julião, Maria Manuel Brites, Anabela Albuquerque, João Pedroso de Lima, Américo Figueiredo

“…We sought to identify predictive factors associated with a positive SLNB and overall survival in our population. …”
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Comparison of Four Intrapartum Cardiotocography Classifications for Predicting Neonatal Acidemia at Birth by Nika Troha, Katja Razem, Ursa Luzovec, Miha Lucovnik

“…To compare diagnostic values of four intrapartum cardiotocography (CTG) classifications in predicting neonatal acidemia at birth. Methods. Retrospective case-control study. …”
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Can Thrifty Gene(s) or Predictive Fetal Programming for Thriftiness Lead to Obesity? by Ulfat Baig, Prajakta Belsare, Milind Watve, Maithili Jog

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Fatigue Life Prediction of the Zirconia Fixture Based on Boundary Element Method by Y. W. Wang, J. J. Ye, W. P. He, G. G. Cai, B. Q. Shi

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Predictive role of SLC1A5 in neuroblastoma prognosis and immunotherapy by Jian Cheng, Miaomiao Sun, Xiao Dong, Yang Yang, Xiaohan Qin, Xing Zhou, Yongcheng Fu, Yuanyuan Wang, Jingyue Wang, Da Zhang

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Nomogram to Predict the Survival of Chinese Patients with Alcohol-Related Liver Disease by Fangfang Duan, Chen Liu, Yuwei Liu, Chunyan Chang, Hang Zhai, Huichun Xing, Jun Cheng, Song Yang

“…Alcohol-related liver disease is an increasing public health burden in China, but there is a lack of models to predict its prognosis. This study established a nomogram for predicting the survival of Chinese patients with alcohol-related liver disease (ALD). …”
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A Novel Ensemble Classifier Selection Method for Software Defect Prediction by Xin Dong, Jie Wang, Yan Liang

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