Assessment of spatial autocorrelation and scalability in fine-scale wildfire random forest prediction models by Madeleine Pascolini-Campbell, Joshua B. Fisher, Kerry Cawse-Nicholson, Christine M. Lee, Natasha Stavros

“…Abstract Wildfire prediction models that can be applied across diverse regions at fine scales (< 100 m) are critical for wildfire management. …”
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Comparative Study of OLGA and LedaFlow Models for Mechanistic Predictions of Hydrate Transport Dynamics by Anqi Qu, Luiz F. R. Dalla, Luis E. Zerpa, Thierry Palermo, Khalid Mateen, Annie Fidel-Dufour, Carolyn A. Koh

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Predicting the time to get back to work using statistical models and machine learning approaches by George Bouliotis, M. Underwood, R. Froud

“…Objectives To compare model performance and predictive accuracy of classic regressions and machine learning approaches using data from the Inspiring Families programme. …”
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Development and application of advanced learning models for predicting the land subsidence due to coal mining by Shirin Jahanmiri, Majid Noorian-Bidgoli

“…Three hybrid models—BBO-GEP, GWO-GEP, and SSA-GEP—were developed and tested to enhance prediction accuracy and reduce model uncertainty. …”
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Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage by V. Vasic, Milica, Awoyera, Paul O., Fadugba, Oladlu George, Barisic, Ivana, Nettinger Grubeša, Ivanka

“…Among the four ensemble ML models evaluated, CatBoost demonstrated the highest predictive performance. …”
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AI-based nanotoxicity data extraction and prediction of nanotoxicity by Eunyong Ha, Seung Min Ha, Zayakhuu Gerelkhuu, Hyun-Yi Kim, Tae Hyun Yoon

“…Among toxicity assessment methods, computational models for predicting nanotoxicity are emerging as alternatives to traditional in vitro and in vivo assays, which involve high costs and ethical concerns. …”
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Enhancing Supply Chain Efficiency Resilience Using Predictive Analytics and Computational Intelligence Techniques by Lixing Bo, Jie Xu

Subjects: “…Predictive analytics…”
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Development and cross-validation of predictive equations for fat-free mass estimation by bioelectrical impedance analysis in Brazilian subjects with overweight and obesity by Kalina Veruska Da Silva Bezerra Masset, Analiza M. Silva, Analiza M. Silva, Gerson Ferrari, Gerson Ferrari, Breno Guilherme De Araújo Tinoco Cabral, Paulo Moreira Silva Dantas, Roberto Fernandes Da Costa

“…No FFM differences were observed between the new models and the reference method (p &gt; 0.05).ConclusionThe new proposed models provide valid options to estimate FFM in an adult population with overweight/obesity.…”
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Enhanced Model-Free Predictive Current Control for PMSM Based on Ultra-Local Models: An Efficient Approach for Parameter Mismatch Handling by Qihong Wu, Hao Zhang, Xuewei Xiang, Hui Li

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Enhanced predictive modeling framework for multi-objective global optimization of passenger car rear seat using hybrid approximation models by Xuan Zhou, Renjie Zou, Xigui Xie, Yaoqing Liao

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Predictive Modeling the Turbidity Response in Al-Saray Water Distribution Network in Najaf Governorate/Middle of Iraq, Using PODDS Model by Abed Zahraa H., Jasem Hayder M., Mohammed Hayder S.

“…The main objective of this study is to forecast Using the Prediction of Discoloration in Distribution Systems (PODDS model), simulate the turbidity response in the Al-Saray water distribution network caused by higher flow rates and a change in the daily demand pattern for water consumption. …”
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Construction and clinical visualization application of a predictive model for mortality risk in sepsis patients based on an improved machine learning model by Ting Chen, Xuefeng Zhang, Qunfeng Yu, Qin Yang, Lingmin Yuan, Fei Tong

“…ObjectiveTo explore the construction and clinical visualization application of a mortality risk prediction model for sepsis patients based on an improved machine learning model.MethodsThis retrospective study analyzed 1,050 sepsis patients admitted to Longyou County People’s Hospital between January 2010 and August 2023. …”
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How to Choose Suitable Physics‐Based Models Without Tuning and System Identification for Model‐Predictive Control of Open Water Channels? by K. Horváth, B. vanEsch, I. Pothof

Subjects: “…model predictive control…”
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AI enhanced model predictive control for optimizing LPG recovery through integrated computational modeling design of experiments and multivariate regression by Basma Abd El Hakim, Mahmoud Abdel-Halim Abdel-Goad, M. E. Awad, Abeer M. Shoaib

“…This study integrates process modeling and control, using Aspen HYSYS for steady-state simulation and dynamic implementation of model predictive control (MPC). …”
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A Rule-Based Predictive Model for Estimating Human Impact Data in Natural Onset Disasters—The Case of a PRED Model by Sara Rye, Emel Aktas

“…<i>Background:</i> This paper proposes a framework to cope with the lack of data at the time of a disaster by employing predictive models. The framework can be used for disaster human impact assessment based on the socio-economic characteristics of the affected countries. …”
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Developing a comprehensive malnutrition prediction model for the elderly in nursing homes by Yan Wu, Wei Tan, Wenlong Yi, Yujuan Chen

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Analyzing and Predicting the Agronomic Effectiveness of Fertilizers Derived from Food Waste Using Data-Driven Models by Ksawery Kuligowski, Quoc Ba Tran, Chinh Chien Nguyen, Piotr Kaczyński, Izabela Konkol, Lesław Świerczek, Adam Cenian, Xuan Cuong Nguyen

“…Random Forest and Cubist models showed strong generalization with high R² (0.79–0.83) for plant yield, while Cubist predicted IENU well in testing, with RMSE = 3.83 and R² = 0.78. …”
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Comparison and Optimization of Generalized Stamping Machine Fault Diagnosis Models Using Various Transfer Learning Methodologies by Po-Wen Hwang, Yuan-Jen Chang, Hsieh-Chih Tsai, Yu-Ta Tu, Hung-Pin Yang

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Editorial: Novel translational advances in artificial intelligence for diagnosis and treatment of cardiovascular diseases by DeLisa Fairweather, Nay Aung, Rickey E. Carter

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Machine learning based predictive insights into compressive strength and strength retention of magnesium oxychloride cement by Ahmad Nawaz, M. Zohaib Nawaz, Leyang Lv, Yingwu Zhou

“…This study evaluates the performance of various ML models for accurate CS and SR prediction of MOC cement. …”
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