Interpretable Machine Learning Techniques for an Advanced Crop Recommendation Model by Mohamed Bouni, Badr Hssina, Khadija Douzi, Samira Douzi

“…Our findings indicate a significant improvement in predictive accuracy over traditional methods. The application of SHAP values offers a groundbreaking analysis of feature importance, enabling a precise quantification of the contributions of factors such as soil quality, climatic variables, and historical crop performance to the predictive outcomes. …”
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The theory of critical distances applied to problems in fracture and fatigue of bone by Emma Brazel, Saeid Kasiri, David Taylor

“…The theory of critical distances (TCD) has been applied to predict notch-based fracture and fatigue in a wide range of materials and components. …”
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The theory of critical distances applied to problems in fracture and<br />fatigue of bone by David Taylor, Saeid Kasiri, Emma Brazel

“…The theory of critical distances (TCD) has been applied to predict notch-based fracture and fatigue in a wide range of materials and components. …”
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Application of the Critical Heat Flux Look-Up Table to Large Diameter Tubes by M. El Nakla, M. Habib, W. Ahmed, A. Al-Sarkhi, R. Ben Mansour, M. Y. Al-Awwad

“…The critical heat flux look-up table was applied to a large diameter tube, namely 67 mm inside diameter tube, to predict the occurrence of the phenomenon for both vertical and horizontal uniformly heated tubes. …”
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Computational frameworks transform antagonism to synergy in optimizing combination therapies by Jinghong Chen, Anqi Lin, Aimin Jiang, Chang Qi, Zaoqu Liu, Quan Cheng, Shuofeng Yuan, Peng Luo

“…Abstract While drug combinations are increasingly important in disease treatment, predicting their therapeutic interactions remains challenging. …”
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Integrating principal component analysis, fuzzy inference systems, and advanced neural networks for enhanced estuarine water quality assessment by Richard O. Usang, Bamidele I. Olu-Owolabi, Kayode O. Adebowale

“…New hydrological insights for the region: The hybrid LSTM-CNN model demonstrated superior predictive performance, achieving RMSE values lower than 10 % and R² values exceeding 0.90 across various predictive tasks, indicating high accuracy in forecasting water quality parameters. …”
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Performance of artificial neural networks and traditional methods in determining selected growth parameters of Alburnus sellal Heckel, 1843 by Ozcan Ebru Ifakat

“…They have been found to be a useful predictive tool. The developed models can be used to predict future sustainable fish management.…”
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Neutron imaging and molecular simulation of systems from methane and p-xylene by Martin Melčák, Tereza-Markéta Durďáková, Štěpán Tvrdý, Jonatan Šercl, Jong Min Lee, Pierre Boillat, Jan Heyda, Pavel Trtik, Ondřej Vopička

“…Abstract Bulk properties of two-phase systems comprising methane and liquid p-xylene were derived experimentally using neutron imaging and theoretically predicted using molecular dynamics (MD). The measured and predicted methane diffusivity in the liquid, Henry’s law constant, apparent molar volume, and surface tension compared well within the experimentally studied conditions (273.15 to 303.15 K, ≤ 100 bar). …”
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Nonconcordance between Clinical and Head CT Findings: The Specter of Overdiagnosis by Kelli N. O'Laughlin, Jerome R. Hoffman, Steven Go, Gelareh Z. Gabayan, Erum Iqbal, Guy Merchant, Roberto A. Lopez-Freeman, Michael I. Zucker, William R. Mower

“…It is unclear whether history and physical examination findings can predict abnormalities on head computed tomography (CT) believed to indicate increased risk of lumbar-puncture- (LP-) induced brain herniation. …”
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Symmetry-Aware 6D Object Pose Estimation via Multitask Learning by Hongjia Zhang, Junwen Huang, Xin Xu, Qiang Fang, Yifei Shi

“…Moreover, we devise an optimization function to refine the predicted 6D object pose by considering the predicted symmetry. …”
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Forecasting trend changes of cement demand in the United States: An exploratory study by Ardavan Yazdanbakhsh

“…This work explores the feasibility of predicting major changes in the trend of cement consumption in the United States based on numerous publicly available economic time series data. …”
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Evaluation of the Impacts of Assimilating the TAMDAR Data on 12/4 km Grid WRF-Based RTFDDA Simulations over the CONUS by Yongxin Zhang, Yubao Liu, Thomas Nipen

“…Assimilating the TAMDAR data improves temperature predictions at middle to high levels and wind speed predictions at all levels especially for the 12 km domain. …”
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Humans rationally balance detailed and temporally abstract world models by Ari E. Kahn, Nathaniel D. Daw

“…The current study extends these ideas from simple habits into usage of more sophisticated approximate predictive models, and demonstrates that individuals dynamically adapt these in response to the predictability of their environment.…”
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PM10 AIR POLLUTION IN MASHAD CITY USING ARTIFICIAL NEURAL NETWORK AND MAKOV CHAIN MODEL

“…The results indicated the optimal performance of these methods in predicting of the amount of pollutants and also the probability of occurrence of hours with different quality of contamination. …”
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Forecasting financial distress for organizational sustainability: An empirical analysis by Soumya Ranjan Sethi, Dushyant Ashok Mahadik

“…Predicting corporate financial distress has always been a key theme in the world's economic and financial development. …”
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Prevalence and predictors of severe Crohn’s disease at a tertiary hospital in South Africa by C Gounden, V Naidoo, Y Moodley

“… Background Predicting severe Crohn's disease (SCD) can assist in planning risk reduction therapy for SCD, thereby improving disease outcomes. …”
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Relationship Between Novel Inflammatory Indices and the Incidence of Postoperative Pneumonia After Endovascular Embolization for Aneurysmal Subarachnoid Hemorrhage by Li S, Li H, Qiu W, Wu B, Wang J, Li Y, Gao H

“…Receiver Operating Characteristic curves (ROC) were used to evaluate the predictive validity of SII and SIRI and to determine their predictive thresholds. …”
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A Novel Nomogram for Early Identification of CFS-Like Symptoms in University Students with Infectious Mononucleosis by Deping Sun, Yanan Liang, Fuwei Yang, Lan Liu, Yuqin Yan

“…This study aims to develop and evaluate a nomogram for predicting the risk of chronic fatigue syndrome (CFS)-like symptoms in university students diagnosed with infectious mononucleosis (IM), using clinical characteristics and laboratory findings as predictive variables. …”
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Study on the correlation of toughness with chemical composition and tensile test results in microalloyed API pipeline steels by Pouraliakbar H., Khalaj G., Jandaghi M.R., Khalaj M.J.

“…Additionally, the model was also employed to predict the toughness of 26 newly tested steels. The predicted values were in very good agreement with the measured ones indicating that the developed model was very accurate and had the great ability for predicting the toughness of pipeline steels.…”
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Application value of different imaging methods in the early diagnosis of small hepatocellular carcinoma: a network meta-analysis by Jian Dong, Zhen Wang, Si-Rui Wang, Huan Zhao, Jun Li, Ting Ma

“…Normal US + CEUS + ultrasonic elastic imaging had the highest specificity (92.9), accuracy (93.6), and positive predictive value (94.4). Unenhanced MRI + Contrast-enhanced MRI had the highest sensitivity (96.6) and negative predictive value (96.6), but specificity (12.5) and positive predictive value (34.4) were extremely poor. …”
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