Comparison of Three Statistical Downscaling Methods and Ensemble Downscaling Method Based on Bayesian Model Averaging in Upper Hanjiang River Basin, China by Jiaming Liu, Di Yuan, Liping Zhang, Xia Zou, Xingyuan Song

“…The ensemble downscaling technology based on BMA can provide scientific basis for the study of runoff response to climate change.…”
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Application Of ArtifiCial Intelligence in E-Governance: A Comparative Study of Supervised Machine Learning and Ensemble Learning Algorithms on Crime Prediction. by Niyonzima, Ivan, Muhaise, Hussein, Akankwasa, Aureri

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Intracranial aneurysm instability prediction model based on 4D-Flow MRI and HR-MRI by Fei Peng, Jiaxiang Xia, Fandong Zhang, Shiyu Lu, Hao Wang, Jiashu Li, Xinmin Liu, Yao Zhong, Jiahuan Guo, Yonghong Duan, Binbin Sui, Chuyang Ye, Yi Ju, Shuai Kang, Yizhou Yu, Xin Feng, Xingquan Zhao, Rui Li, Aihua Liu

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Image Quality Assessments by Leveraging Diverse Visual Tasks by Joonhee Lee, Dongwon Park, Se Young Chun

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NEUVAC: Nonlinear Extreme Ultraviolet Irradiance Model for Aeronomic Calculations by Daniel A. Brandt, Aaron J. Ridley

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Decent Estimate of CME Arrival Time From a Data‐Assimilated Ensemble in the Alfvén Wave Solar Atmosphere Model (DECADE‐AWSoM) by Hongfan Chen, Nishtha Sachdeva, Zhenguang Huang, Bart van derHolst, Ward Manchester IV, Aniket Jivani, Shasha Zou, Yang Chen, Xun Huan, Gabor Toth

“…The results show the potential of assimilating readily available L1 and WL observations within hours of the CME eruption to construct optimal ensembles of Sun‐to‐Earth CME simulations.…”
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A Data-Driven Approach to Improve Cocoa Crop Establishment in Colombia: Insights and Agricultural Practice Recommendations from an Ensemble Machine Learning Model by Leonardo Talero-Sarmiento, Sebastian Roa-Prada, Luz Caicedo-Chacon, Oscar Gavanzo-Cardenas

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Ensemble Methods with Voting Protocols Exhibit Superior Performance for Predicting Cancer Clinical Endpoints and Providing More Complete Coverage of Disease-Related Genes by Runyu Jing, Yu Liang, Yi Ran, Shengzhong Feng, Yanjie Wei, Li He

“…As a result, we proposed a relatively stable scheme that used a set of methods with an ensemble algorithm. Our findings indicated that the ensemble methodologies are more reliable for predicting cancer prognoses than single machine learning algorithms as well as for gene function evaluating. …”
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Desain Penilaian Risiko Privasi pada Aplikasi Seluler Melalui Model Machine Learning Berbasis Ensemble Learning dan Multiple Application Attributes by R. Ahmad Imanullah Zakariya, Kalamullah Ramli

“…Sebuah matriks risiko dibentuk untuk menghitung nilai risiko privasi aplikasi dan dataset CIC-AndMal2017 digunakan untuk mengevaluasi model ensemble learning dan desain penilaian risiko privasi. …”
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eNSMBL-PASD: Spearheading early autism spectrum disorder detection through advanced genomic computational frameworks utilizing ensemble learning models by Ayesha Karim, Nashwan Alromema, Sharaf J Malebary, Faisal Binzagr, Amir Ahmed, Yaser Daanial Khan

“…Methods This study utilized a benchmark genomic dataset, which was processed using feature extraction techniques to identify relevant genetic patterns. Several ensemble classification methods, including Extreme Gradient Boosting, Random Forest, Light Gradient Boosting Machine, ExtraTrees, and a stacked ensemble of classifiers, were applied to assess the predictive power of the genomic features. …”
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Assessing climate sensitivity of the Upper Indus Basin using fully distributed, physically-based hydrologic modeling and multi-model climate ensemble approach by Hamna Hasan, Muhammad Zia ur Rahman Hashmi, Syed Imran Ahmed, Muneer Anees

“…The bias-corrected multi-model ensemble dataset accessed from the coordinated regional climate downscaling experiment (CORDEX) for two scenarios RCP 4.5 and RCP 8.5 were used up to the end of twenty-first century for the projection of stream flow. …”
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Démolition controversée, entre revendication et droit d’auteur. L’histoire d’un ensemble de logements sociaux à Bollate (Milan) by Chiara Merlini

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A Framework for Early Detection of Acute Lymphoblastic Leukemia and Its Subtypes From Peripheral Blood Smear Images Using Deep Ensemble Learning Technique by Sajida Perveen, Abdullah Alourani, Muhammad Shahbaz, M. Usman Ashraf, Isma Hamid

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Magnetic noise detection and imaging from a superparamagnetic core-shell particle via an ensemble of nitrogen-vacancy centers in a thin diamond chip by Thitinun Gas-osoth, Kunitaka Hayashi, Dwi Prananto, Toshu An

“…We describe a local fluctuating magnetic field detection of Fe _3 O _4 superparamagnetic core–shell particles via relaxometry of an ensemble of NV centers in a diamond. A thin diamond chip enables optical access to the contact position of the magnetic particle through the backside. …”
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Retracted: Anomaly detection with ensemble empirical mode decomposition and approximate entropy for quick user datagram protocol internet connection‐based distributed Blockchain systems by Yuanlong Cao, Keyang Gu, Junyi Wu, Xiang Zou, Lei Tao, Xin Huang, Changgen Jiang

“…Abstract Retraction: [Yuanlong Cao, Keyang Gu, Junyi Wu, Xiang Zou, Lei Tao, Xin Huang, Changgen Jiang, Anomaly detection with ensemble empirical mode decomposition and approximate entropy for quick user datagram protocol internet connection‐based distributed Blockchain systems, IET Software 2023 (https://doi.org/10.1049/sfw2.12096)]. …”
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Petrophysical Regression regarding Porosity, Permeability, and Water Saturation Driven by Logging-Based Ensemble and Transfer Learnings: A Case Study of Sandy-Mud Reservoirs by Shenghan Zhang, Yufeng Gu, Yinshan Gao, Xinxing Wang, Daoyong Zhang, Liming Zhou

“…Based on this knowledge, ensemble learning technique, partially developed for fitting problems, can be regarded as a solution. …”
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Le paysage dans la fabrique de la ville réunionnaise : le défi d’une coconstruction pour un mieux-vivre ensemble by Angélique Begue, Esméralda Longépée, Gilbert David

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Information-theoretic bounds for accuracy of letter encoding and pattern recognition via ensembles of datasets M.M. Lange 1, A.M. Lange 1 by M.M. Lange, A.M. Lange

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L’élaboration collective de cartes mentales, une démarche didactique structurante pour l’apprentissage du vivre-ensemble à l’école by Christophe Marsollier

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Analisis Sentimen Pada Sosial Media Twitter Terhadap Kualitas Jaringan Internet Telkomsel Menggunakan Ensemble K-Nearest Neighbour -Support Vector Machine by Muchammad Farchan Fachrudin, Cucun Very Angkoso, Doni Abdul Fatah

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