Tsunami numerical modeling and mitigation by Abdoullah Namdar, Asima Nusrath

“…The numerical modeling and wave theory are used in tsunami mitigation analysis. It is assumed sea forest is simulating offshore structure submitted to wave loads. …”
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Fine-scale retrieval of leaf chlorophyll content using a semi-empirically accelerated 3D radiative transfer model by Xun Zhao, Jianbo Qi, Jingyi Jiang, Shangbo Liu, Haifeng Xu, Simei Lin, Zhexiu Yu, Linyuan Li, Huaguo Huang

“…The results show that estimation model trained with Semi-LESS surpasses PROSAIL in retrieving LCC from both simulation datasets and field measurements of two forest plots. …”
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Exploring the Controlling Factors of Watershed Streamflow Variability Using Hydrological and Machine Learning Models by Bingbing Ding, Xinxiao Yu, Guodong Jia

“…This study demonstrated the potential of integrating hydrological models with machine learning by constructing two machine learning methods, Extreme Gradient Boosting (XGBoost) and Random Forest (RF), based on the input and output data from the Soil and Water Assessment Tool (SWAT) and comparing their streamflow simulation performances. …”
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Optimal Land Use for Rainfall-Runoff Transformation in Wae Ruhu Watershed by Aly Laturua, . Hendrayanto, Nining Puspaningsih

“…The result<br />shows that the land cover has changed about 90 ha, with the higher rainfall intensity is 2.118 in 2013. The result of simulation indicated that to<br />change of shrub and bare land, mix dryland forest, and secondary dryland forest with agroforestry. …”
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Coarse Woody Debris Decomposition Assessment Tool: Model validation and application. by Zhaohua Dai, Carl C Trettin, Andrew J Burton, Martin F Jurgensen, Deborah S Page-Dumroese, Brian T Forschler, Jonathan S Schilling, Daniel L Lindner

“…The model was also used to assess the decomposition of mixed pine-hardwood CWD produced by Hurricane Hugo in 1989 on the Santee Experimental Forest in South Carolina, USA. The simulation reflected rapid CWD decomposition of the forest in this subtropical setting. …”
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Applying Probability Theory for the Quality Assessment of a Wildfire Spread Prediction Framework Based on Genetic Algorithms by Andrés Cencerrado, Ana Cortés, Tomàs Margalef

“…This work presents a framework for assessing how the existing constraints at the time of attending an ongoing forest fire affect simulation results, both in terms of quality (accuracy) obtained and the time needed to make a decision. …”
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Leveraging Artificial Intelligence for Smart Healthcare Management: Predicting and Reducing Patient Waiting Times with Machine Learning by Kristijan CINCAR, Todor IVAŞCU

“… The paper focuses on a machine-learning-based methodology for predictive modelling and simulation enhancement of hospital resource management. …”
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Complexation process and binding parameters of curcumin and short amylose with V7-type helix structure by Xiaojing Li, Lei Dai, Jie Zhong, Tingting Li, Gongjian Fan, Dandan Zhou, Caie Wu

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Inhibitory effect and molecular mechanism on polyphenol oxidase by ultraviolet-C and L-cysteine treatment by Le Cheng, Haoyue Bai, Mingfang Zhang, Fengping Yang, Difeng Ren, Yunpeng Du

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Life cycle assessment of emerging mass timber product: Cross-laminated bamboo by Yinqiao Wang, Kai Lan

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Medical students value advocacy and health policy training in undergraduate medical education: A mixed methods study by Caroline Minnick, Kevin Alexander Soltany, Sudarshan Krishnamurthy, Maeve Murray, Roy Strowd, Kimberly Montez

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Research on Support Vector Regression Short-Time Traffic Flow Prediction Model for Secondary Roads Based on Associated Road Analysis by Ganglong Duan, Yutong Du, Yanying Shang, Hongquan Xue, Ruochen Zhang

“…The model parameters are optimized using grid search and cross-validation to ensure the best performance. Simulation and Evaluation: Third, we conduct simulation experiments using real traffic data from Xi’an city. …”
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Line-Source Based X-Ray Tomography by Deepak Bharkhada, Hengyong Yu, Hong Liu, Robert Plemmons, Ge Wang

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Assessing a Bayesian Approach for Detecting Exotic Hybrids between Plantation and Native Eucalypts by Matthew J. Larcombe, René E. Vaillancourt, Rebecca C. Jones, Brad M. Potts

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Occurrence Data Sources Matter for Species Distribution Modeling: A Case Study of Quercus variabilis Based on Biomod2 by Yipei Zhao, Jianfeng Liu, Qi Wang, Ruizhi Huang, Wen Nie, Shaowei Yang, Xiangfen Cheng, Maihe Li

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OpenClustered: an R package with a benchmark suite of clustered datasets for methodological evaluation and comparison by Nathaniel Sean O’Connell, Jaime Lynn Speiser

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Predicting Heat Treatment Duration for Pest Control Using Machine Learning on a Large-Scale Dataset by Stavros Rossos, Paraskevi Agrafioti, Vasilis Sotiroudas, Christos G. Athanassiou, Efstathios Kaloudis

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A Comparative Analysis of Buckling Pressure Prediction in Composite Cylindrical Shells Under External Loads Using Machine Learning by Hyung Gi Lee, Jung Min Sohn

“…</b> The results demonstrated that the random forest model and XGBoost regression achieved superior accuracy with minimal prediction errors. …”
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SART-Type Image Reconstruction from Overlapped Projections by Hengyong Yu, Changguo Ji, Ge Wang

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Random Algorithm and Skill Evaluation System Based on the Combing of Construction Mechanism of Higher Vocational Professional Group by Wei Jia

“…The simulation results show that the random forest algorithm is applied to skill evaluation with high accuracy, small error, and better generalization ability.…”
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