Model interpretability on private-safe oriented student dropout prediction. by Helai Liu, Mao Mao, Xia Li, Jia Gao

“…While existing machine learning and deep learning models can effectively predict dropout risks, they often rely on real student data, raising ethical concerns and the risk of information leakage. …”
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Monthly Runoff Prediction Based on STL-CEEMDAN-LSTM Model by WANG Hai, SHEN Yanqing, QI Shansheng, PAN Hongzhong, HUO Jianzhen, WANG Zhance

“…The results show that the STL-CEEMDAN-LSTM prediction model has a good simulation effect. The Nash Sutcliffe efficiency (NSE), root mean square error (RMSE), and R² in the model prediction period are 0.813, 239.02, and 0.810, respectively, with the prediction accuracy better than the single model and the primary decomposition model. …”
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Bayesian Architecture for Predictive Monitoring of Unbalance Faults in a Turbine Rotor–Bearing System by Banalata Bera, Shyh-Chin Huang, Po Ting Lin, Yu-Jen Chiu, Jin-Wei Liang

“…Therefore, monitoring unbalance faults is essential for predictive maintenance. While conventional time-invariant mathematical models can assess the impact of these faults, they often rely on proper assumptions of system factors like bearing stiffness and damping characteristics. …”
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Modeling, Small-Signal Stability Analyzing and Implementing of an Inverter-Based Distributed Generation with Feed-forwarded Model Predictive Controller by abdolhossein saleh

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Model Predictive Control with Optimal Modelling for Pneumatic Artificial Muscle in Rehabilitation Robotics: Confirmation of Validity Though Preliminary Testing by Dexter Felix Brown, Sheng Quan Xie

“…This paper presents a model predictive controller (MPC) based on dynamic models generated using the Particle Swarm Optimisation method for accurate motion control of a pneumatic artificial muscle (PAM) for application in rehabilitation robotics. …”
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A Multi‐Model Ensemble of Baseline and Process‐Based Models Improves the Predictive Skill of Near‐Term Lake Forecasts by Freya Olsson, Tadhg N. Moore, Cayelan C. Carey, Adrienne Breef‐Pilz, R. Quinn Thomas

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On Predictive Modeling for the Al2O3 Data Using a New Statistical Model and Machine Learning Approach by Mahmoud El-Morshedy, Zahra Almaspoor, Gadde Srinivasa Rao, Muhammad Ilyas, Afrah Al-Bossly

“…In this article, we focused on predictive modeling for real data by means of a new statistical model and applying different machine learning algorithms. …”
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Workforce predictive risk modelling: development of a model to identify general practices at risk of a supply−demand imbalance by Gary A Abel, John L Campbell, Sarah Gerard Dean, Chris Salisbury, Emily Fletcher, Mayam Gomez-Cano, Navonil Mustafee, Andi Smart, Rupa Chilvers, Suzanne H Richards, F Warren

“…Objective This study aimed to develop a risk prediction model identifying general practices at risk of workforce supply–demand imbalance.Design This is a secondary analysis of routine data on general practice workforce, patient experience and registered populations (2012 to 2016), combined with a census of general practitioners’ (GPs’) career intentions (2016).Setting/Participants A hybrid approach was used to develop a model to predict workforce supply–demand imbalance based on practice factors using historical data (2012–2016) on all general practices in England (with over 1000 registered patients n=6398). …”
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Cloud-Integrated Meteorological Parameter Prediction by Leveraging Multivariate Statistical Time Series and GANs by Archana Rout, Biswa Ranjan Senapati, Debahuti Mishra

“…Hence, the present work predicts six important meteorological parameters using the vector autoregression model (VAR), vector moving average model (VMA), vector autoregression moving average model (VARMA), and cointegrated vector autoregression model (CVAR). …”
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Evaluation of predictive maintenance efficiency with the comparison of machine learning models in machining production process in brake industry by Can Aydın, Burak Evrentuğ

“…The findings highlight the importance of data preprocessing and advanced modeling techniques in predictive maintenance and emphasize how addressing data challenges can enhance the overall performance and reliability of ML models.…”
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Hybrid machine learning and physics-based model for estimating lettuce (Lactuca sativa) growth and resource consumption in aeroponic systems by Benedetta Fasciolo, Nicolò Grasso, Giulia Bruno, Paolo Chiabert

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Comparative Study of Analytical Model Predictive Control and State Feedback Control for Active Vibration Suppression of Two-Mass Drive by Adam Gorla, Piotr Serkies

Subjects: “…model predictive control…”
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Sampling error‐based model‐free predictive current control of open‐end winding induction motor with simplified vector selection by Mahdi S. Mousavi, S. Alireza Davari, Freddy Flores‐Bahamonde, Cristian Garcia, Jose Rodriguez

“…So, besides establishing a novel model‐free prediction algorithm, the proposed method has almost 50% fewer calculations. …”
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Constructing a Predictive Model to Evaluate the Risk of CHD Based on New Metabolic Indicators by Wang W, Du Z, Xie P

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Machine learning model for predicting in-hospital cardiac mortality among atrial fibrillation patients by Huasheng Lv, Xuehua Bi, Shuai Shang, Meng Wei, Xianhui Zhou, Kai Wang, Baopeng Tang, Yanmei Lu

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Construction of a risk prediction model for falls in elderly lung cancer patients with sarcopenia by Qing Wang, Qing Wang, Xiao Han, Jun Zhang, Jun Zhang, Mengying Hu, Mengying Hu, Jiaojiao Xu, Qiongqiong Ai, Hequn Wei, Jiao Yu, Haiping Ma

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Development and validation of a mortality predictive model for ICU patients with primary pulmonary hypertension by Chao-Yong Zhang, Yao-Shi Hu, Zhong-Yuan Meng, Chuang-Hong Lu, Yu-Fei Xie, Qin Yu, Lan-Xian Mai, Zhi-Yu Zeng

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Development and validation of a depression risk prediction model for rural elderly living alone by Shasha Gao, Huijun Zhang

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Automatic prediction for IP backbone network traffic by Xuan WEI, Ke RUAN, Xiaoying HUANG, Xun CHEN, Cancan HUANG

Subjects: “…time series;traffic forecast;prediction model…”
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Automatic prediction for IP backbone network traffic by Xuan WEI, Ke RUAN, Xiaoying HUANG, Xun CHEN, Cancan HUANG

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