Machine learning for predicting severe dengue in Puerto Rico by Zachary J. Madewell, Dania M. Rodriguez, Maile B. Thayer, Vanessa Rivera-Amill, Gabriela Paz-Bailey, Laura E. Adams, Joshua M. Wong

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A novel ensemble model for fall detection: leveraging CNN and BiLSTM with channel and temporal attention by Sarita Sahni, Sweta Jain, Sri Khetwat Saritha

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Enhanced ensemble learning-based uncertainty and sensitivity analysis of ventilation rate in a novel radiative cooling building by Majid Mohsenpour, Mohsen Salimi, Atieh Kermani, Majid Amidpour

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Multi-feature fusion classification method for communication specific emitter identification by Zunwen HE, Shuai HOU, Wancheng ZHANG, Yan ZHANG

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An ensemble prediction approach to weekly Dengue cases forecasting based on climatic and terrain conditions by Sougata Deb, Cleta Milagros Libre Acebedo, Gomathypriya Dhanapal, Chua Matthew Chin Heng

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Feedback control of an HBV model based on ensemble kalman filter and differential evolution by Junyoung Jang, Kihoon Jang, Hee-Dae Kwon, Jeehyun Lee

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Fuzzy Enhanced Kidney Tumor Detection: Integrating Machine Learning Operations for a Fusion of Twin Transferable Network and Weighted Ensemble Machine Learning Classifier by Ananya Ghosh, Jyotismita Chaki

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Increased population exposure to extreme droughts in Iberia due to 0.5 °C additional anthropogenic warming by Ana Russo, Virgílio A Bento, Andreia F S Ribeiro, Daniela C A Lima, João A M Careto, Pedro M M Soares, Renata Libonati, Ricardo M Trigo, Célia M Gouveia

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Artificial intelligence driven cyberattack detection system using integration of deep belief network with convolution neural network on industrial IoT by Mahmoud Ragab, Mohammed Basheri, Nasser N. Albogami, Alanoud Subahi, Omar A. Abdulkader, Hashem Alaidaros, Hassan Mousa, Abdullah AL-Malaise AL-Ghamdi

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Intelligent rockburst level prediction model based on swarm intelligence optimization and multi-strategy learner soft voting hybrid ensemble by Qinghong Wang, Tianxing Ma, Shengqi Yang, Fei Yan, Jiang Zhao

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An effective electrocardiogram segments denoising method combined with ensemble empirical mode decomposition, empirical mode decomposition, and wavelet packet by Yaru Yue, Chengdong Chen, Xiaoyuan Wu, Xiaoguang Zhou

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Advanced Fraud Detection: Leveraging K-SMOTEENN and Stacking Ensemble to Tackle Data Imbalance and Extract Insights by Nurafni Damanik, Chuan-Ming Liu

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A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

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A deep ensemble learning framework for glioma segmentation and grading prediction by Liang Wen, Hui Sun, Guobiao Liang, Yue Yu

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Adaptive Ensemble Learning Model-Based Binary White Shark Optimizer for Software Defect Classification by Jameel Saraireh, Mary Agoyi, Sofian Kassaymeh

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An Innovative Approach to Estimate Chloride Diffusion Coefficient in Submerged Concrete Structures Using Soft Computing by Seyyed Ali Habibi, Ali Hemmati, Hosein Naderpour

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Leveraging Lightweight Hybrid Ensemble Distillation (HED) for Suspect Identification With Face Recognition by Vaishnavi Munusamy, Sudha Senthilkumar

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The Prediction of Storm‐Time Thermospheric Mass Density by LSTM‐Based Ensemble Learning by Peian Wang, Zhou Chen, Xiaohua Deng, Jingsong Wang, Rongxing Tang, Haimeng Li, Sheng Hong, Zhiping Wu

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Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework by Ruize Gao, Shaoze Cui, Yu Wang, Wei Xu

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A Smart Intelligence System for Hen Breed and Disease classification using Extra Tree classifier-based Ensemble Technique by Galib Muhammad Shahriar Himel, Md. Masudul Islam

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