Hybrid Machine Learning Model for Predicting Shear Strength of Rock Joints by Daxing Lei, Yaoping Zhang, Zhigang Lu, Hang Lin, Yifan Chen

“…However, traditional machine learning (ML) models often suffer from local optima and limited generalization ability when dealing with complex nonlinear problems, thereby compromising prediction accuracy and stability. …”
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Explainable surrogate modeling for predicting temperature separation performance of the vortex tube by Hyo Beom Heo, Jun Ho Lee, Jeong Won Yoon, Sangseok Yu, Byoung Jae Kim, Seokyeon Im, Seung Hwan Park

“…Numerous studies have proposed a data-driven surrogate model to predict the temperature at an outlet. These data-driven models are a narrow model that is suitable for the specific device. …”
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Artificial neural network model for predicting water inflow into a reservoir by A. N. Shilin, M. A. Bogale, L. A. Konovalova

“…The results obtained show that the models successfully predicted flood runoff over the reservoir.…”
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An interpretable electrocardiogram-based model for predicting arrhythmia and ischemia in cardiovascular disease by Tanjila Alam Sathi, Rafsan Jany, Razia Zaman Ela, AKM Azad, Salem Ali Alyami, Md Azam Hossain, Iqram Hussain

“…We designed a predictive framework utilizing boosting ML algorithms, enhanced by explainable artificial intelligence (XAI) techniques, to ensure high predictive performance in model interpretation. …”
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Predicting flavonoid physicochemical properties using topological indices and regression modeling by Huili Li, Shamaila Yousaf, Komal Shahzadi, Sobhy M. M. Ibrahim, Adnan Aslam, Guoping Zhang, Keneni Abera Tola

“…This study leverages degree-based topological indices (TIs) to predict six physicochemical properties of sixty flavonoids using linear, quadratic, and logarithmic regression models. …”
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A Robust Stacking-Based Ensemble Model for Predicting Cardiovascular Diseases by Hayat Bihri, Lalla Amina Charaf, Salma Azzouzi, My El Hassan Charaf

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Establishment of model predicting early patency rate of forearm arteriovenous fistula by CHEN Yong-ping, LIANG Yu-feng, LIANG Xing-lan, QIU Mei-lan, HUANG Bin-san, LIAO Wei-zeng, ZHANG Gui-rong

“…Using the ROC,the predictive efficacy of the model was evaluated to increase the positive predictive value of the operation. …”
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An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management by Federico Mori, Giuseppe Naso

“…Key input features include Arias Intensity, spectral accelerations at four representative periods (0.15 s, 0.4 s, 0.6 s, and 2 s), and site condition proxies, such as slope and Vs30. The model achieves strong predictive performance (RMSE = 0.73, R² = 0.76), corresponding to a 33% reduction in residual standard deviation compared to traditional GMICE-based regression methods. …”
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Development of a Hybridized Model for Predicting the Life Span of Power Transformers by O.O. Olaluwoye, A.A. Okubanjo, O.K. Oyetola, P.O. Alao, O.G. Olasunkanmi

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Mathematical model for predicting the performance of photovoltaic system with delayed solar irradiance by Siti Nurashiken Md Sabudin, Norazaliza Mohd Jamil

“…The goal of this study was to develop a mathematical model for predicting the performance of a photovoltaic system, which depends on the amount of solar irradiance. …”
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A nomogram model for predicting risk factors and the outcome of skin ulcer by Honglin Jia, Yang Tan, Hong Li, Xiaoqing Bu, Lingfei Li, Xia Lei

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Predicting the Tensile Properties of Carbon FRCM Using a LASSO Model by María Rodríguez-Marcos, Paula Villanueva-Llaurado, Jaime Fernández-Gómez, Joaquín Abellán-García, Augusto Sisa-Camargo

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Development of a Hybridized Model for Predicting the Life Span of Power Transformers by O.O. Olaluwoye, A.A. Okubanjo, O.K. Oyetola, P.O. Alao, O.G. Olasunkanmi

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A logistic regression-based model for predicting heart failure mortality by Krstić Marija, Krstić Lazar

Subjects: “…predictive model…”
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A Fractal Model for Predicting the Relative Permeability of Rough-Walled Fractures by Zuyang Ye, Wang Luo, Shibing Huang, Yuting Chen, Aiping Cheng

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MODEL FOR MONITORING AND PRODUCTION PREDICTING IN SUNFLOWER CROP BASED ON SATELLITE IMAGES by Daniel DICU, Radu BERTICI, Mihai HERBEI, Florin SALA

“…The study provided useful information on the temporal variability of sunflower crop and production prediction in relation to agricultural technology and is the basis of agricultural crop management models.…”
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A Multitask Deep Learning Model for Predicting Myocardial Infarction Complications by Fazliddin Makhmudov, Normakhmad Ravshanov, Dilshot Akhmedov, Oleg Pekos, Dilmurod Turimov, Young-Im Cho

“…Experimental results demonstrate high predictive accuracy and the model’s capacity to capture complex interactions among risk factors, suggesting its potential as a valuable tool for clinical decision support in cardiology. …”
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An Ensemble Model for Predicting Cardiovascular Disease utilizing Nature Inspired Optimization by Annwesha Banerjee Majumder, Somsubhra Gupta, Sourav Majumder, Dharmpal Singh

“… This paper represents an efficient model for heart disease prediction model utilizing an ensemble mechanism optimized through BAT algorithm. …”
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Predicting bitcoin cryptocurrency price behavior based on ARIMA and NNAR modelling by Patricia Virginia de Santana Lima, David Venâncio da Cruz, Albaro Ramon Paiva Sanz

“… The development of models to predict the behavior of the Bitcoin cryptocurrency, using a public database (Yahoo! …”
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Prognostic model for predicting recurrence in breast cancer patients in Saudi Arabia by Ousman Khan, Jimoh Olawale Ajadi, Fahad Almsned, Hani Almohanna, Amjad Alrasheed, Ridwan A. Sanusi, Nurudeen A. Adegoke

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