Estimation of soil moisture levels at field capacity and wilting point by predictive models on a regional scale by P. Pérez Cutillas, G. González Barberá, Carmelo Conesa García

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Mathematical Evaluation of Classical and Quantum Predictive Models Applied to PM2.5 Forecasting in Urban Environments by Jesús Cáceres-Tello, José Javier Galán-Hernández

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Enhancing Predictive Models in E-Commerce: A Comparative Study Using XGBoost Across Diverse Scenarios by Zhang Jianhao

“…Our strategy involves continuously feeding historical data into selected models to predict future sales volumes. By identifying patterns in the data, we aim to make the predictions more tangible and assess the validity of our approach through a statistical linear regression model. …”
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Advancing Kiwifruit Maturity Assessment: A Comparative Study of Non-Destructive Spectral Techniques and Predictive Models by Michela Palumbo, Bernardo Pace, Antonia Corvino, Francesco Serio, Federico Carotenuto, Alice Cavaliere, Andrea Genangeli, Maria Cefola, Beniamino Gioli

“…Among the different regression models, the GPR-based model showed the best performance in predicting kiwifruit soluble solids content, glucose, and fructose. …”
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Environmental risk of per- and polyfluoroalkyl substances (PFAS) in freshwater ecosystems: Integrating predictive and empirical toxicity models by Muhammad Raznisyafiq Razak, Didi Erwandi Mohamad Haron, Muhammad Qusyairi Jori Roslan, Nawaltul Akma binti Ahmad Sabri, Ahmad Zaharin Aris

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Comparison of Single-Trait and Multi-Trait GBLUP Models for Genomic Prediction in Red Clover by Johanna Osterman, Lucia Gutiérrez, Linda Öhlund, Rodomiro Ortiz, Cecilia Hammenhag, David Parsons, Mulatu Geleta

Subjects: “…longitudinal genomic prediction model…”
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Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models by Xingyu Zhang, Yanshan Wang, Yun Jiang, Charissa B. Pacella, Wenbin Zhang

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Predicting outcomes of expectant and medical management in early pregnancy miscarriage using machine learning to develop and validate multivariable clinical prediction models by Sughashini Murugesu, Kristofer Linton-Reid, Emily Braun, Jennifer Barcroft, Nina Cooper, Margaret Pikovsky, Alex Novak, Nina Parker, Catriona Stalder, Maya Al-Memar, Srdjan Saso, Eric O. Aboagye, Tom Bourne

“…Abstract Objective To determine whether readily available patient, ultrasound and treatment outcome data can be used to develop, validate and externally test two machine learning (ML) models for predicting the success of expectant and medical management of miscarriage respectively. …”
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Predictive value of near-term prediction models for severe immune-related adverse events in malignant tumor PD-1 inhibitor therapy by Yunyi Du, Ying Zhang, Wenqi Zhao, Yuexiang Zhang, Fei Su, Xiaoling Zhang, Weiling Li, Wenqing Hu, Yongai Li, Jun Zhao

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Variability in performance of genetic-enhanced DXA-BMD prediction models across diverse ethnic and geographic populations: A risk prediction study. by Yong Liu, Xiang-He Meng, Chong Wu, Kuan-Jui Su, Anqi Liu, Qing Tian, Lan-Juan Zhao, Chuan Qiu, Zhe Luo, Martha I Gonzalez-Ramirez, Hui Shen, Hong-Mei Xiao, Hong-Wen Deng

“…This study aims to develop BMD prediction models using data from the UK Biobank (UKBB) and test their performance across different ethnic and geographical populations.…”
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Emulsion stability prediction tool by Nor H. Halim, Sai R. Panuganti, Sanjay Misra, Jamal M.B.M. Ibrahim

“…A faster and safer alternative is by running a mathematical model. However, because of the complexity of emulsion system, an equation from first principles for predicting emulsion stability is not available even with such vast work in the literature. …”
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Mapping the Generations of Research Impact Science: A Scoping Review of Metrics, Frameworks, and Predictive Approaches by Mudassar Arsalan, Omar Mubin, Abdullah Al Mahmud

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An XGBoost Approach to Predictive Modelling of Rift Valley Fever Outbreaks in Kenya Using Climatic Factors by Damaris Mulwa, Benedicto Kazuzuru, Gerald Misinzo, Benard Bett

“…Although multiple empirical analyses have shown that machine learning methods outperform time series models in forecasting time series data, there is limited evidence of their application in predicting disease outbreaks in Africa. …”
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Deep learning in time series forecasting with transformer models and RNNs by Rogerio Pereira dos Santos, João P. Matos-Carvalho, Valderi R. Q. Leithardt

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Epidemiological characteristics and prediction model construction of hand, foot and mouth disease in Quzhou City, China, 2005–2023 by Wenjie Xu, Canjie Zheng, Canya Fu, Canya Fu, Xiaoying Gong, Quanjun Fang, Zhiying Yin

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A Gray Predictive Evolutionary Algorithm with Adaptive Threshold Adjustment Strategy for Photovoltaic Model Parameter Estimation by Wencong Wang, Baoduo Su, Quan Zhou, Qinghua Su

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Predictive features analysis and nomogram construction for predicting depression in elderly patients by Wei Lin, Zijun Zhao, Yingshan Yu, Hongbin Chen

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The prediction of the effects of non-isothermal molding/reprocessing on the crystallinity and mechanical properties of PEEK and CF/PEEK by Pingping Xiong, Yangwei Zhou, Laishui Zhou, Zhenchao Qi

“…In addition, mathematical models for predicting the crystallinity and mechanical properties of PEEK and CF/PEEK were established, and the accuracy of the models was verified by a series of experiments. …”
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Construction of a metabolic‐immune model for predicting the risk of diabetic nephropathy and study of gut microbiota by Mengting Dai, Jianbo Wu, Zhaoyang Ji, Ping Chen, Chengchen Yang, Jialu Luo, Pengfei Shan, Mingzhi Xu

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Future Prediction for Tax Complaints to Turkish Ombudsman by Models from Polynomial Regression and Parametric Distribution by Mehmet Niyazi Çankaya, Murat Aydın

“…The maximum values are around $700$ and $800$ which can be regarded as future prediction because the distance among observations is taken into account by models from polynomial regression and parametric distribution. …”
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