Deep weighted survival neural networks to survival risk prediction by Hui Yu, Qingyong Wang, Xiaobo Zhou, Lichuan Gu, Zihao Zhao

Subjects: “…Survival risk prediction…”
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Performance Prediction Model of Dynamic Pressure Oil-Air Separator by Xiaobin Zhang, Lei Lang, Xiaofeng Zhang, Hongqing Lv, Na Gao

“…The model that was established by the least square method had the highest accuracy; the average error of the multivariate nonlinear fitting of the four resistance characteristic prediction models was less than 4%, and the maximum error was less than 15%, which could be used to predict the resistance performance of the separator. …”
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Nonlinear Predictive Sliding Mode Control for Active Suspension System by Dazhuang Wang, Dingxuan Zhao, Mingde Gong, Bin Yang

“…In this work, a nonlinear model of active suspension system and a corresponding nonlinear robust predictive sliding mode control are established for the control problem of active suspension. …”
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Statistical flaws of the fitness-fatigue sports performance prediction model by Alexandre Marchal, Othmène Benazieb, Yisakor Weldegebriel, Thibaut Méline, Frank Imbach

“…Abstract Optimizing athletic training programs with the support of predictive models is an active research topic, fuelled by a consistent data collection. …”
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Predictive response to the behaviour of old structures using ambient vibrations by Zoubida Maraf, Mounir Naili, Mohamed Bensoula, Abderrahmane Kibboua, Missoum Missoum

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Dynamic Modulus Prediction of a High-Modulus Asphalt Mixture by Chaohui Wang, Songyuan Tan, Qian Chen, Jiguo Han, Liang Song, Yi Fu

“…Its prediction error was 0.98–9.71%. Compared with the other two models, the prediction error of the SVM model declined by 0.50–11.96% and 3.76–13.44%. …”
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Explainable Machine Learning-Based Prediction Model for Diabetic Nephropathy by Jing-Mei Yin, Yang Li, Jun-Tang Xue, Guo-Wei Zong, Zhong-Ze Fang, Lang Zou

“…The aim of this study is to analyze the effect of serum metabolites on diabetic nephropathy (DN) and predict the prevalence of DN through a machine learning approach. …”
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Full-Vector Signal Acquisition and Information Fusion for the Fault Prediction by Lei Chen, Jie Han, Wenping Lei, Yongxiang Cui, Zhenhong Guan

“…Fault prediction is the key technology of the predictive maintenance. …”
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Peptidomic analysis of whey protein hydrolysates and prediction of their antioxidant peptides by Jesus Morales García, Chibuike C. Udenigwe, Jorge Duitama, Andrés Fernando González Barrios

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Predicting accrual success for better clinical trial resource allocation by Sisi Ma, Yinzhao Wang, John Wagner, Steve Johnson, Serguei Pakhomov, Constantin Aliferis

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Neural Network of Predictive Motor Timing in the Context of Gender Differences by Pavel Filip, Jan Lošák, Tomáš Kašpárek, Jiří Vaníček, Martin Bareš

“…This promotes the view that predictive temporal computing utilizes comparable structures in the retrospective timing processes, but with a definite dominance of the cerebellum.…”
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Driver Lane-Changing Behavior Prediction Based on Deep Learning by Cheng Wei, Fei Hui, Asad J. Khattak

“…In this paper, a hybrid neural network prediction model based on recurrent neural network (RNN) and fully connected neural network (FC) is proposed to predict lane-changing behavior accurately and improve the prospective time of prediction. …”
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Endoatmospheric Ascent Optimal Guidance with Analytical Nonlinear Trajectory Prediction by Shilei Zhao, Wanchun Chen, Liang Yang

“…Firstly, a precise analytical nonlinear trajectory prediction with arbitrary Angle of Attack (AOA) profile is derived. …”
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SVR Prediction Algorithm for Crack Propagation of Aviation Aluminum Alloy by Jincai Chang, Zhihang Wang, Qingyu Zhu, Zhao Wang

“…And then the model of SVR to predict the crack length was established. Discussion on the results shows that the prediction model is effective. …”
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Environmental Covariates for Sampling Optimization and Pest Prediction in Soybean Crops by Cenneya Lopes Martins, Maiara Pusch, Wesley Augusto Conde Godoy, Lucas Rios do Amaral

“…However, a multi-objective optimized sampling design, tailored to refine configurations for identifying and estimating variograms and spatial trends essential for spatial interpolation, produced the most accurate predictions. Therefore, a two-phase sample optimization with prior in situ selection of environmental covariates improves pest predictions in agricultural systems, contributing to more efficient and sustainable agricultural management.…”
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Prediction of Passive Torque on Human Shoulder Joint Based on BPANN by Shuyang Li, Paolo Dario, Zhibin Song

“…The experiments recruiting three adult male subjects were conducted, and the results revealed that the BPANN exhibits high prediction accurate for each direction shoulder passive torque. …”
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FAST ADAPTIVE GENERALIZED PREDICTIVE CONTROL FOR SYSTEMS WITH VARIABLE PARAMETERS by S. B. ROVEA, RODOLFO FLESCH

Subjects: “…Generalized Predictive Control…”
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Blood cancer prediction model based on deep learning technique by Amr I. Shehta, Mona Nasr, Alaa El Din M. El Ghazali

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Post-stroke outcome prediction based on lesion-derived features by Maedeh Khalilian, Olivier Godefroy, Martine Roussel, Amir Mousavi, Ardalan Aarabi

“…Lesion masks exhibited superior predictive performance relative to unthresholded pSDMs. …”
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Predictive power of selection tests on the academic performance of medical students by María E. Calles Santoyo, Raúl De León Escobedo, Ricardo Salas Flores, Brian González Pérez, Erick E. Hernández Molina

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