Interpretable machine learning models for prolonged Emergency Department wait time prediction by Hao Wang, Nethra Sambamoorthi, Devin Sandlin, Usha Sambamoorthi

“…Our aim is to perform a comprehensive analysis of ML models for ED wait time prediction, identify key feature importance and associations with prolonged wait times, and interpret prediction model clinical relevance among ED patients. …”
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JESO: Reducing Data Center Energy Consumption Based on Model Predictive Control by Xun Chen, Guizhao Xu, Xiaolei Chang, Zhenzhou Wu, Zhengjian Chen, Chenxi Li

“…Therefore, we proposed JESO (Joint Energy Saving Optimization), a MPC (Model Predictive Control)-based method, to realize the joint energy-saving optimization of IT equipment and the HVAC system. …”
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Research on Slope Stability Prediction Based on MC-BKA-MLP Mixed Model by Yan Lu, Hongze Zhao

“…Subsequently, a novel Black Kite Algorithm (BKA) was developed to enhance the prediction model of a multilevel perceptron neural network. …”
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Correction: PPM-Decay: A computational model of auditory prediction with memory decay. by Peter M C Harrison, Roberta Bianco, Maria Chait, Marcus T Pearce

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A Novel Foundation Model-Based Framework for Multimodal Retinal Age Prediction by Christopher Nielsen, Matthias Wilms, Nils D. Forkert

Subjects: “…Foundation model…”
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Machine Learning Traffic Flow Prediction Models for Smart and Sustainable Traffic Management by Rusul Abduljabbar, Hussein Dia, Sohani Liyanage

“…Specifically, this paper evaluates the impact of multisource sensor inputs and spatial detector interactions on machine learning-based traffic flow prediction. Using a dataset of 839,377 observations from 14 detector stations along Melbourne’s Eastern Freeway, Bidirectional Long Short-Term Memory (BiLSTM) models were developed to assess predictive accuracy under different input configurations. …”
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Fatigue Life Prediction Model of Cylindrical Gears Based on the Energy Accumulation Curve by Liu Shicong, Yang Jianwei, Li Xin, Gao Xiang

“…It is of great significance to establish a cylindrical gear bending fatigue life prediction model with a wide range of applications and easy calculation. …”
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Simulation and prediction of hydrological processes in Kaidu River Basin based on DHSVM model by Qiyue Zhang, Changchun Xu, Hongyu Wang, Qian Wang, Lin Li, Yu Luo

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A Nonlinear Model for Prediction of Dynamic Coefficients in a Hydrodynamic Journal Bearing by Sawicki Jerzy, Rao T.

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Developing a reliable predictive model for the biodegradability index in industrial complex effluent by Sadegh Partani, Amin Arzhangi, Hamidreza Azari, Hamidreza Moheghi

“…The extracted model applied on some of the mentioned countries’ records and the results of BOD prediction was matched by observations in 95% of reliability domain. …”
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Strong ground motion prediction model for EPA in Loess Plateau of Northwestern China by Shuheng Xi, Xiaobo Li, Wei Wan, Xin Wang, Huaiqiang Wang, Boran Hu

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Short-Term Wind Power Prediction Model Based on PSO-CNN-LSTM by Qingquan Lv, Jialin Zhang, Jianmei Zhang, Zhenzhen Zhang, Qiang Zhou, Pengfei Gao, Haozhe Zhang

“…To improve short-term wind power prediction accuracy, this study constructs a hybrid particle swarm optimization (PSO)-CNN-LSTM model for seasonal forecasting. …”
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Insolvency and financial health prediction model for the listed companies on the Indonesia Stock Exchange by Khaira Amalia Fachrudin

“… An insolvency and financial health prediction model is an important warning to decision-makers. …”
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Predictive modelling of creep age forming parameters using artificial neural networks by Yo-Lun Yang, Cheng-Ling Tai, Wan-Ling Chen, Sundarakannan Rajendran, Vigneshwaran Shanmugam

“…The ANN model was trained using experimental data from 80 samples, incorporating stress (75–175 MPa), ageing time (0–8 h), and creep strain as input parameters to predict precipitate radius and yield strength. …”
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Patient perspective on predictive models in healthcare: translation into practice, ethical implications and limitations? by Sarah Markham

“…In this perspective article, we consider the use of predictive models in healthcare and associated challenges. …”
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Analysis of the factors that influence the quality of rapeseed and sunflower seeds and development of predictive models☆ by El Msayryb Abdellatif, Champolivier Luc, Debaeke Philippe, Flénet Francis

“…The model achieved good predictive accuracy, with over 84% of well-predicted values falling within acceptable ranges for rapeseed seed quality (oil and protein concentrations), and the same for sunflower protein concentration. …”
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Deep Learning-Based Energy Consumption Prediction Model for Green Industrial Parks by Chaoan Lai, Yina Wang, Jianhua Zhu, Xuequan Zhou

“…The model shows a closer fit to the original series trend and more accurate predictions at extreme points, aligning more closely with actual values.…”
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Evaluation of Prediction Performances of Deep Learning Models for the Aerodynamic Characteristics of Flettner Rotors by Seo Janghoon, Park Jung Yoon, Ma Juhwan, Kim Young Bu, Park Dong-Woo

“…This study investigates the prediction of the aerodynamic characteristics of Flettner rotors through three deep learning models. …”
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Optimizing Sensitivity in Machine Learning Models for Pediatric Post-operative Kyphosis Prediction by Raja Ayu Mahessya, Dian Eka Putra, Rostam Ahmad Efendi, Rayendra, Rozi Meri, Riyan Ikhbal Salam, Dedi Mardianto, Ikhsan, Ismael, Arif Rizki Marsa

“…Post-operative kyphosis represents a significant complication following pediatric spinal corrective surgery, necessitating sophisticated prediction methods to identify high-risk patients. This study developed and evaluated machine learning models for kyphosis prediction using a dataset of 81 pediatric patients by comparing the logistic regression and decision tree approaches. …”
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Enhancing Load Prediction Accuracy using Optimized Support Vector Regression Models by Abdulsemiu Olawuyi, Titus Ajewole, Muyideen Lawal, Tolulope Awofolaju

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