Weighted Multimodel Predictive Function Control for Automatic Train Operation System by Shuhuan Wen, Jingwei Yang, Ahmad B. Rad, Shengyong Chen, Pengcheng Hao

“…Thus, the predictive functional controller is designed to control the speed of the train. …”
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A Spatial-Temporal Self-Attention Network (STSAN) for Location Prediction by Shuang Wang, AnLiang Li, Shuai Xie, WenZhu Li, BoWei Wang, Shuai Yao, Muhammad Asif

“…With the popularity of location-based social networks, location prediction has become an important task and has gained significant attention in recent years. …”
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Blood-based epigenome-wide association study and prediction of alcohol consumption by Elena Bernabeu, Aleksandra D. Chybowska, Jacob K. Kresovich, Matthew Suderman, Daniel L. McCartney, Robert F. Hillary, Janie Corley, Maria Del C. Valdés-Hernández, Susana Muñoz Maniega, Mark E. Bastin, Joanna M. Wardlaw, Zongli Xu, Dale P. Sandler, Archie Campbell, Sarah E. Harris, Andrew M. McIntosh, Jack A. Taylor, Paul Yousefi, Simon R. Cox, Kathryn L. Evans, Matthew R. Robinson, Catalina A. Vallejos, Riccardo E. Marioni

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Are the Mean Platelet Volume and Neutrophil/Lymphocyte Ratio Predictive for Gestational Cholestasis? by Hasan Eroglu, Harun Egemen Tolunay, Kemal Sarsmaz, Gokcen Orgul, Dilek Sahin, Aykan Yucel

“…CONCLUSION: When compared with healthy pregnancies, mean platelet volume value in gestational cholestasis increases significantly. However, the predictive strength of mean platelet volume for cholestasis is not strong enough to recommend its usage as a single parameter in clinical practice. …”
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Deep Recurrent Model for Server Load and Performance Prediction in Data Center by Zheng Huang, Jiajun Peng, Huijuan Lian, Jie Guo, Weidong Qiu

“…In this paper, we propose using RNN with long short-term memory (LSTM) units for server load and performance prediction. Classical methods for performance prediction focus on building relation between performance and time domain, which makes a lot of unrealistic hypotheses. …”
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Remaining Useful Life Prediction of Milling Tool Based on Pyramid CNN by Ning Hu, Zhenguo Liu, Shixin Jiang, Quanzhou Li, Shuqi Zhong, Bingquan Chen

“…Predicting the RUL accurately can improve machining efficiency and the quality of product. …”
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Anthropometric Indices of Obesity and the Prediction of Cardiovascular Risk Factors in an Iranian Population by Mohsen Azimi–Nezhad, Majid Ghayour–Mobarhan, Mohammad Safarian, Habibollah Esmailee, Seyed Mohammad Reza Parizadeh, Maryam Rajabi-Moghadam, Arezoo Gholami, Mohammad Reza Oladi, Gordon A. Ferns

“…The gender-specific cutoff values for waist:height ratio to predict hypertension, diabetes, dyslipidemia, and metabolic syndrome among men were 0.52 (sensitivity = 66%; specificity = 66%), 0.54 (sensitivity = 65%; specificity = 65%), 0.50 (sensitivity = 58%; specificity = 57%), and 0.53 (sensitivity = 73%; specificity = 70%), and for women were 0.59 (sensitivity = 61%; specificity = 61%), 0.61 (sensitivity = 64%; specificity = 64%), 0.57 (sensitivity = 61%; specificity = 61%), and 0.59 (sensitivity = 77%; specificity = 77%) (p < 0.05). …”
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Highway Traffic Speed Prediction in Rainy Environment Based on APSO-GRU by Dongqing Han, Xin Yang, Guang Li, Shuangyin Wang, Zhen Wang, Jiandong Zhao

“…The results show that the APSO-GRU model has significantly improved prediction stability than the GRU model and can better extract rainfall features during continuous rainfall, with an average prediction accuracy rate of 96.74%.…”
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Machine learning for predicting Chagas disease infection in rural areas of Brazil. by Fabio De Rose Ghilardi, Gabriel Silva, Thallyta Maria Vieira, Ariela Mota, Ana Luiza Bierrenbach, Renata Fiuza Damasceno, Lea Campos de Oliveira, Alexandre Dias Porto Chiavegatto Filho, Ester Sabino

“…In recent years, machine learning algorithms have emerged as powerful tools for disease prediction and diagnosis.<h4>Methods</h4>In this study, we developed machine learning algorithms to predict the risk of Chagas disease based on five general factors: age, gender, history of living in a mud or wooden house, history of being bitten by a triatomine bug, and family history of Chagas disease. …”
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Predictions of bimanual self-touch determine the temporal tuning of somatosensory perception by Noa Cemeljic, Xavier Job, Konstantina Kilteni

“…This distinction is suggested to arise because the brain predicts the somatosensory consequences of voluntary movements using an efference copy and attenuates the predicted self-touch. …”
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Experimental Evaluation of the Accuracy of Biped Model to Predict the Kinematics during Walking by Yao Zhang, Zhigang Song

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Unsteady Productivity Prediction for Three-Dimensional Horizontal Well in Anisotropic Reservoir by Gang Bi, Ying Cui, Jiemin Wu, Zongxiao Ren, Fei Han, Xin Wang, Mengmeng Li

“…In this research, the finite volume method is adopted to develop a three-dimensional unsteady productivity prediction model for horizontal wells. An improved Peaceman well model is used to predict the productivity of horizontal wells. …”
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Machine learning-based spectrum occupancy prediction: a comprehensive survey by Mehmet Ali Aygül, Mehmet Ali Aygül, Hakan Ali Çırpan, Hüseyin Arslan

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Comparison of Common Methods in Dynamic Response Predictions of Rotor Systems with Malfunctions by Hongliang Yao, Qian Zhao, Qi Xu, Bangchun Wen

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Vibration Response Prediction of Plate with Particle Dampers Using Cosimulation Method by Dongqiang Wang, Chengjun Wu

“…Finally frequency response functions (FRFs) of the plate without and with particle dampers are predicted to study characteristics of the particle damping plates under forced vibration. …”
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Development and validation of a nomogram for predicting cough variant asthma diagnosis by Jiao Min, Xiaomiao Tang, Di Zhang, Jin Yang, Fei Li, Wei Lei

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Prediction of Fluid Viscosity in Multiphase Reservoir Oil System by Machine Learning by Lihua Shao, Ru Ji, Shuyi Du, Hongqing Song

“…This study proposed three viscosity prediction models based on machine learning approaches. …”
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Exosome-Associated Gene Signature for Predicting the Prognosis of Ovarian Cancer Patients by Zihan Zhu, Rui Geng, Yixin Zhang, Jinhui Liu, Jianling Bai

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Thermodynamic predicting of Si-Me (Me = Ti, Al) binary systems by Kostov A., Živković D., Friedrich B.

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Crash Risk Prediction Model of Lane-Change Behavior on Approaching Intersections by Yingshuai Li, Jian Lu, Kuisheng Xu

“…Using the index as the dependent variable, the risk prediction model of implementing the lane-change process is established. …”
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