Dust impact on photovoltaic modules: Global data, predictive models, emphasis on chemical composition by Hussam Almukhtar, Tek Tjing Lie, Wisam Al-Shohani

“…Incorporating 690 global datasets and leveraging Artificial Neural Networks (ANN) and Multiple Linear Regression (MLR) in MATLAB, the study integrates key dust chemical components (Si, Fe, Ca, Al) and weight to predict the PV optical properties. This approach enhances models’ predictive accuracy across diverse environmental settings, which in turn enables more accurate forecasting of PV power output and thermal behavior under varying dust conditions, as these optical properties govern the module equations. …”
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Data-driven predictive model of coal permeability based on microscopic fracture structure characterization by Tianhao Yan, Xiaomeng Xu, Jiafeng Liu, Yihuai Zhang, Muhammad Arif, Xiaowei Xu, Qiang Wang

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Predictive modeling of molecular interaction energies using topological and spectral entropies of zeolite AWW by Pancras Peter, Joseph Clement, Micheal Arockiaraj, Kavin Jacob

“…Furthermore, we developed exponential and polynomial regression models using the obtained information entropy and spectral values to predict various potential energies of the framework. …”
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Sequential Model Predictive Torque Control for Six-Phase Machines Without Weighting Factors by Jorge Rodas, Osvaldo Gonzalez, Paola Maidana, Christian Medina, Jesus Doval-Gandoy, Margarita Norambuena, Magno Ayala, Jose Rodriguez

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Establishment of predictive model on patency rate after inferior vena cava filter implantation by GAO Ziyang，ZHU Tao

“…"Objective To explore the factors affecting the patency rate after inferior vena cava filter implantation（IVCFI），and to construct a predictive model. Methods A total of 154 patients who underwent IVCFI in No.2 People's Hospital of Fuyang City from October 2020 to February 2024 were selected as the research objects. …”
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Construction of a predictive model for cervical lymph node metastasis in papillary thyroid carcinoma by YanHong Hao, Yuan Su, Yanan Li, Qiaohong Pan, Liping Liu

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Characteristics and predictive model for diffuse large B-cell lymphoma with early chemoimmunotherapy failure by Ying-Yu Dong, Qing Shi, Wen Wu, Bing-Bing Zhao, Di Fu, Peng-Peng Xu, Shu Cheng, Guilhem Bousquet, Guilhem Bousquet, Guilhem Bousquet, Wei-Li Zhao, Wei-Li Zhao, Li Wang, Li Wang

“…Through multivariate analysis, elderly age, advanced stage, elevated serum LDH, DEL, and mutations of TP53 or FOXO1 were independent predictors of ECF.DiscussionBased on these predictors, a nomogram of ECF was established, and the straining cohort of our Chinese patients as well as the external cohort from Western countries showed a good predictive power of the ECF model, indicating the efficiency of our ECF predicting model, regardless of patients' race. …”
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Robust Model Predictive Control for AFE-Inverter Drives With Common Mode Voltage Elimination by S.M. Muslem Uddin, Galina Mirzaeva, Graham C. Goodwin

“…This paper proposes a novel and robust version of Model Predictive Control scheme for AC drives based on Voltage Source Inverter (VSI) with Active Front End (AFE). …”
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Development and validation of predictive models for meige syndrome patients based on oxidative stress markers by Yingjie Zhu, Runing Fu, Ziang Wang, Xinjie Zhu, Pengbo Feng, Xinyu Feng, Wenping Lian

“…The cross-validation confirmed the model’s reliability. The model demonstrated high predictive accuracy, with an area under the curve (AUC) of 0.930 for the training set and 0.914 for the validation set. …”
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Predictive model for recurrence of incisional hernia constructed by CT abdominal wall imaging features by Qi He, Yunhua Wu, Gexin Xu, Zhixing Zhang, Dejan Gao, Lingzhi Nie, Qingguo Du

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A predictive healthcare model using machine learning and psychological factors for medication adherence by Junwu Dong, Minyi Chu, Yirou Xu

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Establishing a predictive model for ectopic pregnancy risk following assisted reproductive technology by Jie Li, Tiantian Dai, Yang Liu, Yuanyi Li, Tailin Chen, Xiaojun Chen, Li Jin

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Model Predictive Control With Reinforcement Learning-Based Speed Profile Generation in Racing Simulator by Min-Seong Kim, Tae-Hyoung Park

Subjects: “…Model predictive control…”
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Predictive modeling of mechanical properties in cold recycled asphalt mixtures enhanced with industrial byproducts by Mohsen Amouzadeh Omrani, Rezvan Babagoli, Mehraveh Hasirchian

“…Mechanical tests, including Marshall stability, indirect tensile strength, moisture susceptibility were conducted at 25°C, 5°C, and −5°C, with fatigue performance assessed at 25°C after 7 and 42 days. Machine learning models specifically Random Forest and XGBoost, were employed to predicte tensile strength and fatigue life, with XGBoost achieved an R² of approximately 0.95 and RMSE of approximately 0.02 for the tensile strength ratio, and R² of approximately 0.95 with MSE of approximately 15,000 for fatigue life. …”
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Early Detection and Management of Cognitive Impairment in Parkinson's Disease: A Predictive Model Approach by Li Li, Shan Tang, Bin Hao, Xiaoqin Gao, Haiyan Liu, Bo Wang, Hui Qi

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Predictive Modeling and Experimental Analysis of Cyclic Shear Behavior in Sand–Fly Ash Mixtures by Özgür Yıldız, Ali Fırat Çabalar

“…Using data from the loading cycles as input, the NARX model was trained to predict the final shear response under cyclic conditions. …”
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Embedded Model Predictive Control for Enhancing Tracking Performance of a Ball-and-Plate System by Heeseung Bang, Young Sam Lee

Subjects: “…Model predictive control…”
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Integrating radiomics into predictive models for low nuclear grade DCIS using machine learning by Yimin Wu, Daojing Xu, Zongyu Zha, Li Gu, Jieqing Chen, Jiagui Fang, Ziyang Dou, Pingyang Zhang, Chaoxue Zhang, Junli Wang

“…Our findings emphasize the importance of integrating Radiomic into DCIS prediction models, offering fresh perspectives for personalized treatment and clinical management of DCIS.…”
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IMMERSIVE TECHNOLOGIES IN ITALIAN CULTURAL TOURISM: AN EXPLORATORY ANALYSIS OF VISITOR SATISFACTION AND PREDICTIVE MODELING by Assia LIBERATORE, Ana Elisa SOUSA, Paula CARDOSO, Sónia PAIS

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A systematic literature review of forecasting and predictive models for enterococci intrusion in aquatic ecosystems by Philomina Onyedikachi Peter, Edoardo Bertone, Rodney A. Stewart

“…Furthermore, it offers evidence-based recommendations for selecting appropriate models to predict ENT levels, empowering researchers and water resource managers to design more effective water quality management strategies. …”
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