Data-Driven Pavement Performance: Machine Learning-Based Predictive Models by Mohammad Fahad, Nurullah Bektas

“…However, machine learning models offer a time-efficient solution for predicting pavement performance. …”
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Robust Cross-Validation of Predictive Models Used in Credit Default Risk by Jose Vicente Alonso, Lorenzo Escot

“…While many methodologies have been developed, cross-validation is perhaps the most widely accepted, often being part of the model development process by optimizing the hyperparameters of predictive algorithms. …”
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Machine Learning Models and Mathematical Approaches for Predictive IoT Smart Parking by Vesna Knights, Olivera Petrovska, Jasmina Bunevska-Talevska, Marija Prchkovska

“…The lagged features were able to capture the temporal dependencies more effectively than the other models, resulting in lower RMSE values. The LightGBM model with lagged data produced an R² of 0.9742 and an RMSE of 0.1580, making it the best model for time series prediction. …”
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Artificial Intelligence in Financial Trading Predictive Models and Risk Management Strategies by Basha Shaik Asif, Zia Amir, B Kirankumar, S Chandra Sekhar, S Sumithra, R Monisha Jothi

“…Therefore, this research is focused on establishing new AI-based models to tackle this problem in predictive models, risk management strategies in financial trading domain. …”
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Development and validation of predictive models for diabetic retinopathy using machine learning. by Penglu Yang, Bin Yang

“…Significant predictors were identified, and four predictive models were developed. Model performance was assessed using accuracy, precision, recall, F1-score, and area under the curve (AUC).…”
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Recurrent predictive coding models for associative memory employing covariance learning. by Mufeng Tang, Tommaso Salvatori, Beren Millidge, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz

“…We further show that our models can be combined with hierarchical predictive coding networks to model the hippocampo-neocortical interactions. …”
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Facebook Reactions as Controversy Proxies: Predictive Models over Italian News by Angelo Basile, Tommaso Caselli, Flavio Merenda, Malvina Nissim

“…We develop a battery of distant supervised models that use Facebook reactions as proxies for predicting news controversy, building on the idea that controversy can be modeled via the entropy of the reaction distribution to a post. …”
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New Predictive Models for the Computation of Reinforced Concrete Columns Shear Strength by Anthos I. Ioannou, David Galbraith, Nikolaos Bakas, George Markou, John Bellos

“…Three ML models, LREGR, POLYREG-HYT, and XGBoost-HYT-CV, were used to develop different predictive models that were able to compute the shear strength of RC columns. …”
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Genomic and algorithm-based predictive risk assessment models for benzene exposure by Minyun Jiang, Minyun Jiang, Na Cai, Na Cai, Juan Hu, Lei Han, Lei Han, Fanwei Xu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Boshen Wang

“…AimIn this research, we leveraged bioinformatics and machine learning to pinpoint key risk genes associated with occupational benzene exposure and to construct genomic and algorithm-based predictive risk assessment models.Subject and methodsWe sourced GSE9569 and GSE21862 microarray data from the Gene Expression Omnibus. …”
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Predictive Models of Current, Voltage, and Power Losses on Electric Transmission Lines by O. M. Bamigbola, M. M. Ali, K. O. Awodele

“…The predictive models evolved as explicit expressions of the space variable and they are in close agreement with empirical data and reality.…”
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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

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High-risk factors and predictive models for hemorrhagic chronic radiation proctitis by Zhongli Liao, Xiaogang Hu, Liuling Hu, Jian Yang

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Predictive models for chemotherapy-induced oral mucositis: a systematic review by Yan Tao, Xiang Zeng, Hua Mao

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Predictive Analytics in Agriculture: Machine Learning Models for Coconut Tree Health by Goswami Anjali, Kirit Dhablia Dharmesh

“…Active machine learning (ML) models have started replacing the conventional methods of crops health management and farm productivity with predictive analytics. …”
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Practitioner perspectives on informing decisions in One Health sectors with predictive models by Kim M. Pepin, Keith Carlisle, Richard B. Chipman, Dana Cole, Dean P. Anderson, Michael G. Baker, Jackie Benschop, Michael Bunce, Rachelle N. Binny, Nigel French, Suzie Greenhalgh, Dion RJ O’Neale, Scott McDougall, Fraser J. Morgan, Petra Muellner, Emil Murphy, Michael J. Plank, Daniel M. Tompkins, David TS Hayman

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Application of machine learning models in predictive maintenance of Francis hydraulic turbines by Júlio César Silva de Souza, Oswaldo Honorato Júnior, Geraldo Lúcio Tiago Filho, Otávio Augusto Salgado Carpinteiro, Hailton Silveira Domingues Biancardine Júnior, Ivan Felipe Silva dos Santos

Subjects: “…Machine Learning Model, Multilayer Perceptron (MLP)…”
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Development and evaluation of predictive models for pregnancy risk in UK dairy cows by Matthew Barden, Robert Hyde, Martin Green, Andrew Bradley, Edna Can, Rachel Clifton, Katharine Lewis, Al Manning, Luke O'Grady

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Risk-Predictive Models for Adverse Events in Cardiac Surgery: A Review by Huan Luo

“…Risk prediction models are an important part of assessing operative mortality and postoperative complication rates in current cardiac surgery practice. …”
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Comparative Analysis of Predictive Models for Individual Cancer Risk: Approaches and Applications by Philippe Westerlinck

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Applications and challenges of biomarker-based predictive models in proactive health management by Qiming Zhao, Qiming Zhao, Chen Zhang, Chen Zhang, Wanxin Zhang, Shengchuan Zhang, Qiyuan Liu, You Guo, You Guo, You Guo

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