WCN24-2388 Prediction model for early-stage CKD using the Naples prognostic score and plasma indoleamine 2,3-dioxygenase activity by Hao Hong

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Assessing past, present, and simulated future prediction of land use land cover changes using CA-Markov chain models with Satellite data by Sajjad Hussain, Saeed Ahmad Qaisrani, Aqil Tariq, Muhammad Mubeen, Sajid Ullah

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Wavelet Multiresolution Analysis-Based Takagi–Sugeno–Kang Model, with a Projection Step and Surrogate Feature Selection for Spectral Wave Height Prediction by Panagiotis Korkidis, Anastasios Dounis

“…We explore the development of a comprehensive predictive methodology for wave height prediction by integrating novel Takagi–Sugeno–Kang fuzzy models within a multiresolution analysis framework. …”
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Feasible Time Evolution Model That Predicts Breakdown in Thin SiO2 Films within Unstressed Interval after Constant-Current Stress by Yasuhisa Omura

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Use of Artificial Intelligence–Generated Synthetic Data to Augment and Enhance the Performance of Clinical Prediction Models in Patients With Alcohol-Associated Hepatitis and Acute... by Joseph C. Ahn, Yung-Kyun Noh, Mingzhao Hu, Xiaotong Shen, Vijay H. Shah, Patrick S. Kamath

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Modelling of Hybrid Materials and Interface Defects through Homogenization Approach for the Prediction of Effective Thermal Conductivity of FRP Composites Using Finite Element Meth... by C. Mahesh, K. Govindarajulu, V. Balakrishna Murthy

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Combination of the Improved Diffraction Nonlocal Boundary Condition and Three-Dimensional Wide-Angle Parabolic Equation Decomposition Model for Predicting Radio Wave Propagation by Ruidong Wang, Guizhen Lu, Rongshu Zhang, Weizhang Xu

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Difference Equation Model-Based PM2.5 Prediction considering the Spatiotemporal Propagation: A Case Study of Bohai Rim Region, China by Ceyu Lei, Xiaoling Han, Chenghua Gao

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Performance, emissions, and combustion analysis of catalytic hydrothermal liquefaction derived fuel from Arthrospira platensis in IC engines: A predictive approach using least squa... by Mozas Santhose Kumar J, Prakash Ramakrishnan, Padmanathan Panneerselvam

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Prediction of Remaining Useful Life of Packing Sets in a Plunger-Type High-Pressure Compressor Based on the PCA/SVD Analysis and NN Model by Jin-Wei Liang, Shyh-Chin Huang, Chun-Ling Lin

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Cutting Force Prediction of Ti6Al4V using a Machine Learning Model of SPH Orthogonal Cutting Process Simulations by Hagen Klippel, Eduardo Gonzalez Sanchez, Margolis Isabel, Matthias Röthlin, Mohamadreza Afrasiabi, Kuffa Michal, Konrad Wegener

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Future habitat suitability and population status of two critically endangered resident Gyps vultures in a northern Indian state predicted through modelling by Radhika Jha, Kaushalendra Kumar Jha

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A hybrid deep learning model for predicting atmospheric corrosion in steel energy structures under maritime conditions based on time-series data by Mohamed El Amine Seghier Ben, Tam T. Truong, Christian Feiler, Daniel Höche

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Compressive Strength Prediction Using Coupled Deep Learning Model with Extreme Gradient Boosting Algorithm: Environmentally Friendly Concrete Incorporating Recycled Aggregate by Mayadah W. Falah, Sadaam Hadee Hussein, Mohammed Ayad Saad, Zainab Hasan Ali, Tan Huy Tran, Rania M. Ghoniem, Ahmed A. Ewees

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Intelligent Prediction Model of the Triaxial Compressive Strength of Rock Subjected to Freeze-Thaw Cycles Based on a Genetic Algorithm and Artificial Neural Network by Xin Xiong, Feng Gao, Keping Zhou, Yuxu Gao, Chun Yang

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Deep learning models for enhanced forest-fire prediction at Mount Kilimanjaro, Tanzania: Integrating satellite images, weather data and human activities data by Cesilia Mambile, Shubi Kaijage, Judith Leo

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Mechanobiological cues to bone cells during early metastasis drive later osteolysis: A computational mechanoregulation framework prediction by Anneke S.K. Verbruggen, Elan C. McCarthy, Roisin M. Dwyer, Laoise M. McNamara

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Two-Stage Global Biomass Pyrolysis Model for Combustion Applications: Predicting Product Composition with a Focus on Kinetics, Energy, and Mass Balances Consistency by Germán Navarrete Cereijo, Pedro Galione Klot, Pedro Curto-Risso

“…Secondly, kinetic parameters for primary and secondary reactions are determined following a Shafizadeh and Chin scheme but with a modified Arrhenius form dependent on <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>T</mi><mi>n</mi></msup></semantics></math></inline-formula>, significantly enhancing the accuracy of product composition prediction. …”
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Machine learning-based hydrogen recycling model for predicting rovibrational distributions of released molecular hydrogen on tungsten materials via molecular dynamics simulations by Seiki Saito, Masato Iida, Hiroaki Nakamura, Keiji Sawada, Kazuo Hoshino, Masahiro Kobayashi, Masahiro Hasuo, Yuki Homma, Shohei Yamoto

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Seasonal Prediction of Surface Air Temperature across Vietnam Using the Regional Climate Model Version 4.2 (RegCM4.2) by Tan Phan Van, Hiep Van Nguyen, Long Trinh Tuan, Trung Nguyen Quang, Thanh Ngo-Duc, Patrick Laux, Thanh Nguyen Xuan

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