Don’t go chasing waterfalls: Multiple factor prediction of injuries in a performance context by Melanie I. Stuckey, Dean Kriellaars

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Small-grid urban flood prediction model using Twitter data and population GPS data - an example of the 2019 Nagano city flood by Yifan Yang, Naoki Ohira, Hideomi Gokon

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Selection of Failure Data in Software Reliability Modeling Based on RVM by Xiaoming Yang, Jungang Lou, Zhangguo Shen, Wenjun Hu

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Selection of Failure Data in Software Reliability Modeling Based on RVM by Xiaoming Yang, Jungang Lou, Zhangguo Shen, Wenjun Hu

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Advanced day-ahead scheduling of HVAC demand response control using novel strategy of Q-learning, model predictive control, and input convex neural networks by Rahman Heidarykiany, Cristinel Ababei

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Improved LSTM hyperparameters alongside sentiment walk-forward validation for time series prediction by Eko Putra Wahyuddin, Rezzy Eko Caraka, Robert Kurniawan, Wahyu Caesarendra, Prana Ugiana Gio, Bens Pardamean

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Specifics of predicting the profitability of individual bank products based on machine learning by Inna Strelchenko, Dmytro Stognii, Anatolii Strelchenko

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A fair and efficient two-step procedure for sugarcane properties prediction based on near-infrared spectra by Luiz Alexandre Peternelli, Andréa Carla Bastos Andrade, Cristina Silva Dias, Reinaldo Francisco Teófilo

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Estimation of biometric, physiological, and nutritional variables in lettuce seedlings using multispectral images by George D. Martins, Onésio F. da Silva Neto, Glecia J. dos S. Carmo, Renata Castoldi, Ludymilla C. S. Santos, Hamilton C. de O. Charlo

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Influencing factors of IgA nephropathy combined with hyperuricemia and a nomogram to predict the risk of hyperuricemia in IgA nephropathy patients by Zhou Jie, Xian Wei-ying, Li Ji-tian, Zeng Jin-cheng

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Scenario Simulation and Prediction of Land Use Patterns in Guilin City Considering Impact of Scenic Spot Expansion by Wu Zhenhua, Yu Qinping, Wang Yabei, Bai Qingguo

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A Two-Stage Deep Learning Method for Marine Oil Spill Localization and Segmentation From Synthetic Aperture Radar Images by Xudong Huang, Biao Zhang, William Perrie

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Uncertainty Quantification in Shear Wave Velocity Predictions: Integrating Explainable Machine Learning and Bayesian Inference by Ayele Tesema Chala, Richard Ray

“…The results highlight the unique advantages of each model. The XGBoost model demonstrates good predictive performance, achieving high coefficient of determination (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula>), index of agreement (IA), Kling–Gupta efficiency (KGE) values, and low error values while effectively explaining the impact of input parameters on Vs. …”
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Artificial intelligence-based forecasting models for integrated energy system management planning: An exploration of the prospects for South Africa by Senthil Krishnamurthy, Oludamilare Bode Adewuyi, Emmanuel Luwaca, Mukovhe Ratshitanga, Prathaban Moodley

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Construction and evaluation of a predictive model for the degree of coronary artery occlusion based on adaptive weighted multi-modal fusion of traditional Chinese and western medic... by Jiyu ZHANG, Jiatuo XU, Liping TU, Hongyuan FU

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Implementation of a time-temperature-indicator as a shelf life predictive tool for a ready-to-eat salad by Claudia Waldhans, Antonia Albrecht, Rolf Ibald, Dirk Wollenweber, Judith Kreyenschmidt

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Identifying cardiovascular disease risk in the U.S. population using environmental volatile organic compounds exposure: A machine learning predictive model based on the SHAP method... by Qingan Fu, Yanze Wu, Min Zhu, Yunlei Xia, Qingyun Yu, Zhekang Liu, Xiaowei Ma, Renqiang Yang

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A machine learning-driven modeling and optimization approach for enhancing cassava mash production quality in cassava graters by Nana Yaa Serwaah Sarpong, Joseph Oppong Akowuah, Joseph Ofei Darko, Eric Asante Amoah

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Modeling study of the magnetocaloric behavior of La₀.₆₇Ca₀.₃₃Mn₀.₉₈Ni₀.₀₂O₃ alloys using artificial neural networks by Kawther Laajimi, Emna Ammar Elhadjamor, Radhouane Laajimi, Mehdi Rahmani, Mohamed Hichem Gazzah

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A Multiscale CNN-Based Intrinsic Permeability Prediction in Deformable Porous Media by Yousef Heider, Fadi Aldakheel, Wolfgang Ehlers

“…The approach utilizes binarized CT images of porous microstructures to predict the permeability tensor, a crucial parameter in continuum porous media flow modeling. …”
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