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281
Analysis of Data and Feature Processing on Stroke Prediction using Wide Range Machine Learning Model
Published 2024-04-01Get full text
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282
Application of Six Sigma Methodology for Enhancement of Soft Plastic Extrusion Process
Published 2025-06-01Subjects: Get full text
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283
MATLAB-empowered brightness defect prediction system in pulp processing bleaching stage: An empirical modelling approach
Published 2024-12-01Subjects: Get full text
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284
Impact of experimental inflammation on the neuronal processing of cardiac interoceptive signals and heart rate variability in humans
Published 2025-07-01Subjects: Get full text
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285
An Explainable Framework Integrating Local Biplots and Gaussian Processes for Unemployment Rate Prediction in Colombia
Published 2025-05-01“…(ii) Then, we used a Local Biplot technique from the widely recognized Uniform Manifold Approximation and Projection (UMAP) method along with local affine transformations as an unsupervised representation of non-stationary and non-linear data patterns in a simplified and comprehensible manner. (iii) A Gaussian Processes regressor with kernel-based feature relevance analysis is coupled as a supervised counterpart for both unemployment rate prediction and input feature importance analysis. …”
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286
An incremental data-driven approach for carbon emission prediction and optimization of heat treatment processes
Published 2025-08-01Subjects: Get full text
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287
Research on Prediction of Wear Amount in the Gear Transmission Process Under Complex Working Conditions
Published 2024-01-01“…In order to solve the above problems, a method for predicting the wear amount in the gear transmission process under complex working conditions is proposed. …”
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288
Predicting Factors of Drop Out Counseling Process in University Psychological Counseling and Guidance Center
Published 2015-04-01“…Objective: The purpose of this study is to evaluate the predicting factors the drop out the counseling process . …”
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289
INTERVAL PREDICTION OF NON-STATIONARY PROCESSES, DESCRIBED BY STOCHASTIC DIFFERENTIAL EQUATIONS WITH VARIABLE PARAMETERS
Published 2019-06-01“…The task of interval prediction of non-stationary processes of stochastic differential equations described by models with variable parameters is considered. …”
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290
Bearing Remaining Useful Life Prediction Based on a Nonlinear Wiener Process Model
Published 2018-01-01“…This paper develops an improved remaining useful life (RUL) prediction method for bearings based on a nonlinear Wiener process model. …”
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291
TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia Process
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292
Distributional dual-process model predicts strategic shifts in decision-making under uncertainty
Published 2025-04-01Get full text
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293
Predicting Factors of Drop Out Counseling Process in University Psychological Counseling and Guidance Center
Published 2015-03-01“…Objective: Objective: The purpose of this study is to evaluate the predicting factors the drop out the counseling process. …”
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294
Optimization Method for the PVB Resin Process Parameters Based on the Quality Index Prediction Model
Published 2025-12-01Subjects: “…Process parameter optimization…”
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295
Predicting the academic achievement of students using black hole optimization and Gaussian process regression
Published 2025-03-01Subjects: “…Predicting academic achievement…”
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296
Simulation and Prediction of Springback in Sheet Metal Bending Process Based on Embedded Control System
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297
Prediction of the Temperature of Large Framed Mold and Curing Deformation of Composite Components in the Autoclave Process
Published 2022-01-01“…In this paper, the prediction methods of the temperature distribution of the tool and the curing deformation of composite components in the autoclave forming process were developed. …”
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298
Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks
Published 2016-04-01“…In this research, the bound-soda losses in Bayer process solid residue (red mud) are predicted using intelligent techniques. …”
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299
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Cloud point prediction model for polyvinyl alcohol production plants considering process dynamics
Published 2024-12-01“…In this study, a soft sensor that continuously predicts the cloud point from process variables that can be measured in real time was constructed using machine learning. …”
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