Multiobjective Network Optimization for Soil Monitoring of the Loess Hilly Region in China by Dianfeng Liu, Yaolin Liu, Mingze Wang, Xiang Zhao

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Assessing Water Resource Planning Policies in the Sefidroud Irrigation and Drainage Network Using the Water-Land-Food Nexus Approach by S. Ashkevari, S. Janatrostami, A. Ashrafzadeh

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Differential Diagnosis Model of Hypocellular Myelodysplastic Syndrome and Aplastic Anemia Based on the Medical Big Data Platform by Jianhui Wu, Lu Zhang, Sufeng Yin, Haidong Wang, Guoli Wang, Juxiang Yuan

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Distributed Optimization for VPP and Distribution Network Operation Considering Uncertainty and Green Certificate Market by Jinfeng WANG, Jinpeng LI, Yinliang XU, Haitao LIU, Jinxiong HE, Jianyuan XU

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Clustering approach for crack detection in GPR data: Influence of infilling material on detectability by Mercedes Solla, Norberto Fernández, Ahmed Elseicy, Jorge Pais

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Cumulative confidence-driven task offloading for object detection in maritime Internet of Things by Yanglong Sun, Wenqian Luo, Weijian Xu, Qiang Mei, Haixia Peng, Linhai Wei

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Machine Learning Ensemble Classifiers for Feature Selection in Rice Cultivars by Chandrakumar Thangavel, D Sakthipriya

“…The variance inflation factor (VIF) of the wrapper feature selection approach with decision tree classification algorithm yields 99.63% accuracy and 4.3% error rate compared to other classification algorithms and wrapper feature selection techniques.…”
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Eulerian Oil Spills Model Using Finite-Volume Method with Moving Boundary and Wet-Dry Fronts by Ehsan Sarhadi Zadeh, Kourosh Hejazi

“…The world production of crude oil is about 3 billion tons per year. The overall objective of the model in present study is supporting the decision makers in planning and conducting preventive and emergency interventions. …”
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A multitask framework based on CA-EfficientNetV2 for the prediction of glioma molecular biomarkers by Qian Xu, Feng Ning Liang, Ya Ru Cao, Jin Duan, Teng Cui, Teng Zhao, Hong Zhu

“…Then, the Fruit Fly Optimization Algorithm (FOA) was employed to assign optimal weights to the pseudolabeled data. …”
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Development of a predictive model for risk factors of multidrug-resistant bacterial pneumonia in critically ill post-neurosurgical patients by Aixiang Hu, Dayan Ma, Yanni Lei, Fangqiang Li, Xi Wang, Yuewei Zhang

“…However, existing prediction frameworks exhibit limitations in elucidating the relative importance of risk factors, thereby impeding precise clinical decision-making and individualized patient management.ObjectiveTo evaluate the performance of six ensemble classification algorithms and three single classification algorithms in predicting MDR-BP risk factors among neurosurgical postoperative critically ill patients, identify the optimal predictive model, and determine key influential factors.MethodsWe conducted a retrospective study involving 750 neurosurgical patients admitted to a neurosurgery center at a tertiary hospital in Beijing between January 2020 and December 2023. …”
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Enhancing stroke-associated pneumonia prediction in ischemic stroke: An interpretable Bayesian network approach by Xingyu Liu, Jiali Mo, Zuting Liu, Yanqiu Ge, Tian Luo, Jie Kuang

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Applying machine learning to predict bowel preparation adequacy in elderly patients for colonoscopy: development and validation of a web-based prediction tool by Jianying Liu, Wei Jiang, Yahong Yu, Jiali Gong, Guie Chen, Yuxing Yang, Chao Wang, Dalong Sun, Xuefeng Lu

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Priority Selection Within National Innovation Strategy in Global Context by Prokopenko Olha, Omelyanenko Vitaliy

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Modelling Enterprise’s Coordinated Development Strategy with a Soft Fuzzy Rough Set by Tongtong Wang, Jianing Cui

“…Furthermore, we use training methods and soft fuzzy rough sets’ learning algorithm to calculate, and the evaluating indicator rough set is constructed with a three-tier model structure. …”
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An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance by Abhijeet Das

“…In addition, the study area's hydro-chemical facies were examined, and machine learning models’ hyperparameters such as Random Forest (RF), Borda Scoring Algorithm (BSA), Decision Tree (DT), Multilayer Perception (MLP), and Naïve Bayes (NB), were executed before, to training and testing the samples of surface water. …”
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Evaluation of Machine Learning Models for Enhancing Sustainability in Additive Manufacturing by Waqar Shehbaz, Qingjin Peng

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Dynamic Capacitated Arc Routing Problem in E-Bike Sharing System: A Monte Carlo Tree Search Approach by Shiqi Tan, Zhiheng Li, Na Xie

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A clustering-based co-allocation of battery swapping stations and wind-photovoltaic plants in radial distribution systems by Hamed Shams, Naghi Rostami, Behnam Mohammadi Ivatloo

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Robust Switching Control and Subspace Identification for Flutter of Flexible Wing by Yizhe Wang, Zhiwei Xu, Wei Li

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Efficient and Stable Learning for Distribution Network Operation: A Model-Based Reinforcement Learning Approach by Dong Yan, Zhan Shi, Xinying Wang, Yiying Gao, Tianjiao Pu, Jiye Wang

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