Interpretable machine learning and radiomics in hip MRI diagnostics: comparing ONFH and OA predictions to experts by Tariq Alkhatatbeh, Ahmad Alkhatatbeh, Qin Guo, Jiechen Chen, Jidong Song, Xingru Qin, Wang Wei

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Burden, Positive Aspects, and Predictive Variables of Caregiving: A Study of Caregivers of Patients with Pediatric Glaucoma by Yingting Zhu, Jinyun Gao, Xinyan Li, Qiongman Yang, Yu Lian, Huiming Xiao, Wenmin Huang

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Fault Prediction and Recovery Using Machine Learning Techniques and the HTM Algorithm in Vehicular Network Environment by Salah Zidi, Bechir Alaya, Tarek Moulahi, Amal Al-Shargabi, Salim El Khediri

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A comparative study of turbulence models for predicting the aerodynamic drag of a spin-stabilized projectile by Quang Tuan Nguyen

“…Introduction/purpose: In this research, the influence of different turbulence models on the aerodynamic drag prediction of a generic spin-stabilized projectile was analyzed. …”
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A A three-phase induction motor dynamic framework regulated by predictive and intelligent optimizations. by Shaswat Chirantan, Bibhuti Bhusan Pati

“… The role of Model Predictive Control (MPC) as a fundamental optimization tool in modern control systems is increasingly emphasized. …”
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Machine Learning-Driven Resilient Modulus Prediction for Flexible Pavements Across Mountainous and Other Regions by Rauf Ayesha, Asif Usama, Javed Muhammad Faisal

“…This study collects 2813 data points from pre- vious research results to create an accurate prediction model. The gradient boosted (GB) machine learning (ML) approach is selected to predict the Mr of the compacted subgrade soil. …”
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Posttreatment Blood Pressure as a Key Predictor in a 5‐Year Stroke Prediction Model by Nan Zhang, Jiarong Mei, Fangfang Fan, Yan Zhang, Ziyi Zhou, Jianping Li

“…ABSTRACT Evidence suggests that approximately 63.0%–84.2% of stroke survivors have hypertension, yet there is currently no stroke prediction tool specifically designed for individuals with hypertension. …”
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Prediction of Current and Future Distributions of Chalcophora detrita (Coleoptera: Buprestidae) Under Climate Change Scenarios by Arif Duyar, Muhammed Arif Demir, Mahmut Kabalak

“…ABSTRACT The consequences of climate change, accelerated by anthropogenic activities, have different effects on different ecosystems, and the severity of these effects is predicted to increase in the near future. The number of studies investigating how forest ecosystems respond to these changes is increasing. …”
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Proposition for Path Loss Prediction Models with the Inclusion of Altitude Parameter and Optimization Through Evolutionary Algorithms by Evandro M. Jorge Júnior, Antônio C. P. Veiga

“…Abstract In this paper, it is presented a general optimization methodology for improving empirical models predicting Okumura-Hata, Cost-231, ECC-33, and Egli using Genetic and Differential Evolution Algorithms. …”
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Numerical Modeling and Analysis of Shadow Flicker Using Solar Path Functions for Enhanced Predictive Accuracy by Nicolai Radke, Patrick E. M. De Smet, Erika Ábrahám

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Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data. by Tian Xia, Lanju Zhou, Khalil Ahmad

“…The 93% precision demonstrated an excellent match for the most effective prediction model, linear dipole testing. Furthermore, the "good fit" of the model was verified by its achieved area-under-the-curve ratios of 0.97 for abnormal identification and 0.96 for daily detection.…”
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A Sustained Reduction in Serum Cholinesterase Enzyme Activity Predicts Patient Outcome following Sepsis by Aleksandar R. Zivkovic, Sebastian O. Decker, Anne C. Zirnstein, Annette Sigl, Karsten Schmidt, Markus A. Weigand, Stefan Hofer, Thorsten Brenner

“…We estimated a critical BChE level of 1.661 kU/L (CI 0.5–0.8, 94% sensitivity, 48% specificity, AUC 0.7) to best predict patient outcome providing a benchmark criterion for early detection of potentially fatal sepsis measured at the admission. …”
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Model Predictive Current Control with Asymmetric Stacked Multilevel Inverter and LCL-Filter Based STATCOM by Mostafa Q. Kasim, Raaed Faleh Hassan

Subjects: “…Predictive control…”
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Short-term photovoltaic power prediction combination model considering seasonal characteristic and data window by ZHANG Jing, XIONG Guojiang

Subjects: “…short-term photovoltaic power prediction…”
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Machine Learning-Based Prediction of Ecosystem-Scale CO₂ Flux Measurements by Jeffrey Uyekawa, John Leland, Darby Bergl, Yujie Liu, Andrew D. Richardson, Benjamin Lucas

“…We found that Extreme Gradient Boosting (XGBoost) consistently produced the most accurate predictions (Root Mean Squared Error of 1.81 μmolm⁻²s⁻¹, R² of 0.86). …”
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Prediction and Analysis of PDC Bit Wear in Conglomerate Layer with Machine Learning and Finite-Element Method by Li-qiang Wang, Ming-ji Shao, Wei Zhang, Zhi-peng Xiao, Shuo Yang, Ming-he Yang

“…Through comparison with the EP-GEP prediction results, it was verified that the prediction accuracy of this method meets actual engineering needs. …”
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Barlow Twins deep neural network for advanced 1D drug–target interaction prediction by Maximilian G. Schuh, Davide Boldini, Annkathrin I. Bohne, Stephan A. Sieber

“…Abstract Accurate prediction of drug–target interactions is critical for advancing drug discovery. …”
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Reliability Prediction of Ontology-Based Service Compositions Using Petri Net and Time Series Models by Jia Li, Yunni Xia, Xin Luo

“…In the case study, a comparison between the static model and our approach based on experimental data is presented and it is shown that our approach achieves higher prediction accuracy.…”
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An ENSO-Forecast Independent Statistical Model for the Prediction of Annual Atlantic Tropical Cyclone Frequency in April by Kenny Xie, Bin Liu

“…As a result, the predictions from such models are often contaminated by the errors in ENSO forecasts. …”
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A Two-Pathway Mathematical Model of the LH Response to GnRH that Predicts Self-Priming by J. J. Evans, T. M. Wilkinson, D. J. N. Wall

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