Correlation Study and Predictive Modelling of Ergonomic Parameters in Robotic-Assisted Laparoscopic Surgery by Manuel J. Pérez-Salazar, Daniel Caballero, Juan A. Sánchez-Margallo, Francisco M. Sánchez-Margallo

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Model Predictive Control for Three-Phase, Four-Leg Dynamic Voltage Restorer by Decan Liu, Huaying Zhang, Xiaorui Liang, Shicong Deng

“…A two-step predictive method is proposed for the prediction of the output voltage in each switching state by the established voltage prediction model. …”
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Development and validation of a predictive model for acute kidney injury in patients with ureterolithiasis by Yufeng Jiang, Jingcheng Zhang, Ailiyaer Ainiwaer, Yuchao Liu, Jing Li, Liuliu Zhou, Yang Yan, Haimin Zhang

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Predictive Modeling of the Softness of Facial Tissue Products: A Spectral Analysis Approach by Yong Ju Lee, Ji Eun Cha, Geon-Woo Kim, Tai-Ju Lee, Hyoung Jin Kim

“…Using seven commercial samples and an optimized multilayer perceptron model, a achieved high predictive performance (R² = 0.860) was achieved without additional measurements such as tensile modulus or surface friction. …”
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Acoustic signatures of bulbar ALS: Predictive modeling with sustained vowels and LightGBM by Zahra Farrokhi, Seyed Amirali Zakavi, Arian Sarafraz, Maryam Valifard, Salar Yousefzadeh, Zahra Mashhadi Tafreshi, Omid Anbiyaee, Navid Rostami, Mahsa Asadi Anar, Niloofar Deravi

“…Results: The model performed well with high predictability, yielding an RMSLE of 0.162 and most predictions closely correlating with actual diagnoses. …”
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Optimal Operation of High-Speed Trains Using Hybrid Model Predictive Control by Yingze Yang, Zheng Xu, Weirong Liu, Heng Li, Rui Zhang, Zhiwu Huang

“…In this paper, a hybrid model predictive control (MPC) framework is proposed for the controller design of the ATO system. …”
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Predictive model to differentiate chronic histaminergic angioedema and chronic spontaneous urticaria with angioedema by Torsten Zuberbier, MD, Ana M. Giménez-Arnau, MD, Marcus Maurer, MD

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Inflammation‐Derived and Clinical Indicator‐Based Predictive Model for Ischemic Stroke Recovery by Jiao Luo, You Cai, Peng Xiao, Changchun Cao, Meiling Huang, Xiaohua Zhang, Jie Guo, Yongyang Huo, Qiaoyan Tang, Liuyang Zhao, Jiabang Liu, Yaqi Ma, Anqun Yang, Mingchao Zhou, Yulong Wang

“…This study aimed to develop a predictive model, combining inflammation‐derived markers and clinical indicators, for distinguishing functional outcomes in patients with subacute ischemic stroke. …”
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Analysis of the dynamics of changes in factor load models for predicting failures of a spacecraft by Kraev Konstantin, Zaitsev Pavel, Kazakovtsev Vladimir

“…The structure of the methodology for preparing data and creating factor load models is described. A methodology for analyzing the dynamics of changes in factor load models is proposed. …”
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Development of Concentration-Prediction Models in Multiple Manufacturing Environments Using NIR Spectroscopy by Yusuke Hayashi, Saho Okazaki, Kazuya Tanabe, Takuya Nagato, Hirokazu Sugiyama

“…This work presents development of concentration-prediction models applicable to multiple work environments using near-infrared (NIR) spectroscopy. …”
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Construction and validation of risk prediction models for different subtypes of retinal vein occlusion by Chunlan Liang, Lian Liu, Wenjuan Yu, Qi Shi, Jiang Zheng, Jun Lyu, Jingxiang Zhong

“…Purpose: While prognostic models for retinal vein occlusion (RVO) exist, subtype-specific risk prediction tools for central retinal vein occlusion (CRVO) and branch retinal vein occlusion (BRVO) remain limited. …”
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Prediction of thermodynamic properties of aqueous carbohydrates solution using the PHSC and ANN models by Soud Khalil Ibrahim, Rafid Jihad Albadr, Dharmesh Sur, Anupam Yadav, Soumya V. Menon, Debasish Shit, S. Supriya, Rajashree Panigrahi, Waam Mohammed Taher, Mariem Alwan, Mahmood Jasem Jawad, Hiba Mushtaq

“…The model’s performance has been evaluated using the prediction of sugar solubilities in water. …”
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Parameter-Efficient Adaptation of Large Vision—Language Models for Video Memorability Prediction by Iván Martín-Fernández, Sergio Esteban-Romero, Fernando Fernández-Martínez, Manuel Gil-Martín

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Recent development of risk-prediction models for incident hypertension: An updated systematic review. by Dongdong Sun, Jielin Liu, Lei Xiao, Ya Liu, Zuoguang Wang, Chuang Li, Yongxin Jin, Qiong Zhao, Shaojun Wen

“…<h4>Conclusions</h4>The traditional models are still the predominant risk prediction models for hypertension, but recently, more models have begun to incorporate genetic factors as part of their model predictors. …”
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Performance of machine learning models for predicting high-severity symptoms in multiple sclerosis by Subhrajit Roy, Diana Mincu, Lev Proleev, Chintan Ghate, Jennifer S. Graves, David F. Steiner, Fletcher Lee Hartsell, Katherine Heller

“…Finally, we retrospectively developed three classical ML methods and two deep learning models to accurately and continually predict the incidence of five high-severity symptoms (fatigue, sensory disturbance, walking instability, depression or anxiety and cramps/spasms) three months in advance.…”
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Penalized Logistic Regression Models for Phenotype Prediction Based on Single Nucleotide Polymorphisms by seyedeh rezwan Hosseini, Farnaz Ghassemi, Mohammad Hasan Moradi

“…Some SNPs alone and some by interacting with others, play an important role in any phenotype or specific disease. Various models, including the regression models, are designed and implemented for the prediction of these diseases. …”
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Fast and effective assessment for individuals with special needs form optimization and prediction models by Bilal Baris Alkan, Muhammet Kumartas, Serafettin Kuzucuk, Nesrin Alkan

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Prediction models for intraventricular hemorrhage in very preterm infants: a systematic review by Ping Xiong, Yonggang Wei, Lei Li, Houxin Kang, Zhangbin Yu, Hong Tang, Yuanlin Pu

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Coupling Deep Learning and Physically Based Hydrological Models for Monthly Streamflow Predictions by Wenxin Xu, Jie Chen, Gerald Corzo, Chong‐Yu Xu, Xunchang John Zhang, Lihua Xiong, Dedi Liu, Jun Xia

Subjects: “…monthly streamflow prediction…”
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Dynamic in-context learning with conversational models for data extraction and materials property prediction by Chinedu E. Ekuma

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