Solar Irradiance Prediction for Zaria Town Using Different Machine Learning Models by Ibrahim Abdulwahab, Sulaiman Haruna Sulaiman, Umar Musa, Ibrahim Abdullahi Shehu, Abdullahi Kakumi Musa, Ismaila Mahmud, Mohammed Musa, Abdullahi Abubakar, Abdulrahman Olaniyan

“…In the prediction of daily solar irradiation, the ensemble learning models of random forest and gradient boost tree outperformed the other models. …”
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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…Hybrid models (RBCO, RBSO, and RFNG) are developed by integrating these optimization techniques, which refine critical RBF parameters, such as spread and center selection, through iterative optimization. Furthermore, an ensemble framework (RSNC) combines all three optimizers with RBF to achieve superior performance. …”
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A Preliminary Assessment of the Impact of Assimilating Satellite Soil Moisture Data Products on NCEP Global Forecast System by Weizhong Zheng, Xiwu Zhan, Jicheng Liu, Michael Ek

“…In this study, a preliminary test of assimilating satellite soil moisture data products from the NOAA-NESDIS Soil Moisture Operational Product System (SMOPS) into the NOAA-NCEP Global Forecast System (GFS) is conducted. Using the ensemble Kalman filter (EnKF) introduced in recent year publications and implemented in the GFS, the multiple satellite blended daily global soil moisture data from SMOPS for the month of April 2012 are assimilated into the GFS. …”
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Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

“…Based on this，a comprehensive energy system short-term load forecasting model is proposed，which combines complete ensemble empirical mode decomposition with adaptive noise （CEEMDAN），cross optimization algorithm （CSO），long short term memory （LSTM） network，and multi task learning （MTL）. …”
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A SuperLearner-based pipeline for the development of DNA methylation-derived predictors of phenotypic traits. by Dennis Khodasevich, Nina Holland, Lars van der Laan, Andres Cardenas

“…<h4>Conclusions</h4>We introduce a novel method for the development of DNAm-based predictors that combines the improved reliability conferred by training on principal components with advanced ensemble-based machine learning. Coupling SuperLearner with PCA in the predictor development process may be especially relevant for studies with longitudinal designs utilizing multiple array types, as well as for the development of predictors of more complex phenotypic traits.…”
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Feature Extraction Strategy with Improved Permutation Entropy and Its Application in Fault Diagnosis of Bearings by Fan Jiang, Zhencai Zhu, Wei Li, Bo Wu, Zhe Tong, Mingquan Qiu

“…In this study, improved permutation entropy (IPE) is defined as the feature for bearing fault diagnosis. In this method, ensemble empirical mode decomposition (EEMD), a self-adaptive time-frequency analysis method, is used to process the vibration signals, and a set of intrinsic mode functions (IMFs) can thus be obtained. …”
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De l’hygiène verbale dans le sud de la France ou Occitanie by James Costa

“…Nous analyserons la place dévolue à la langue dans ces questions, et nous chercherons à savoir en quoi cet ensemble de problématiques est un héritage des querelles des décennies passées, ou au contraire en quoi elle s’inscrit dans ce que Li (2000) et Geschiere (2009) ont nommé « une conjoncture globale de l’appartenance ». …”
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Chronique d’un non-lieu: le marxisme en Grande-Bretagne by Emmanuel Jousse

“…Un examen plus approfondi de la question permet en réalité de mesurer l’importance de chronologies différenciées qui, toutes ensemble, empêchent le marxisme de devenir le discours commun du socialisme anglais. …”
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The Behavioral Mechanism and Forecasting of Beijing Housing Prices from a Multiscale Perspective by Yan Li, Zhaoyang Xiang, Tao Xiong

“…According to the complex features of house price, including nonlinear, nonstationary, and multiscale, and considering the remarkable time and frequency discrimination capability of multiscale analysis in dealing with house price problems, we develop an ensemble empirical mode decomposition- (EEMD-) based multiscale analysis paradigm to investigate the behavioral mechanism and then obtain accurate forecasts of house prices. …”
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Pre-trained artificial intelligence-aided analysis of nanoparticles using the segment anything model by Gabriel A. A. Monteiro, Bruno A. A. Monteiro, Jefersson A. dos Santos, Alexander Wittemann

“…These sets collate data derived from a large ensemble of specific particle domains indicating to which particle each subdomain belongs. …”
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How exchange symmetry impacts performance of collective quantum heat engines by Julia Boeyens, Benjamin Yadin, Stefan Nimmrichter

“…We study ergotropy and emitted power as the figures of merit and show which of the known results applicable to a single three-level engine carry over to an engine made up of a collectively coupled ensemble. We do this using results from representation theory to characterise the full basis of the Hilbert space and provide general tools for the description of the dynamics of such systems. …”
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Wall Pressure and Blade Surface Pressure in a Side Channel Blower by Sven Münsterjohann, Stefan Becker

“…As a result, we show the time-resolved pressure distribution as well as its phase-locked ensemble average. The variations of the pressure field are related to the integral pressure difference across the turbomachine and to its rotational speed. …”
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Assessing the Impact of Climate Change on Intensity-Duration-Frequency (IDF) Curves for the Qassim Region, Saudi Arabia by Mohammed ALRakathi, Abdullah Alodah

“…The nonparametric quantile mapping method was employed to adjust the outputs of eight Regional Climate Models (RCMs) within the CMIP6 ensemble. These models were evaluated under four Shared Socioeconomic Pathways (SSPs), ranging from a stringent mitigation scenario to one with very high greenhouse gas emissions. …”
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Preliminary Analysis on the Global Features of the NCEP CFSv2 Seasonal Hindcasts by Gyrlene A. M. Silva, Lívia M. M. Dutra, Rosmeri P. da Rocha, Tércio Ambrizzi, Érico Leiva

“…The representation of the CFSv2 ocean-atmosphere ensemble hindcasts is investigated during Dec-Jan-Feb (DJF) and Jun-Jul-Aug (JJA) from 1983 to 2010. …”
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Global foot-and-mouth disease risk assessment based on multiple spatial analysis and ecological niche model by Qi An, Yiyang Lv, Yuepeng Li, Zhuo Sun, Xiang Gao, Hongbin Wang

“…This study utilized multi-distance spatial cluster analysis, kernel density analysis, directional distribution analysis to investigate the spatial distribution patterns of historical FMD epidemics. A multi-algorithm ensemble model considering climatic, geographic, and social factors was developed to predict the suitability area for FMDV, and then risk maps of FMD for each species of livestock were generated in combination with the distribution of livestock. …”
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Food Sales Prediction Using MLP, RANSAC, and Bagging by Hussam Mezher Merdas, Ayad Hameed Mousa

“…Some studies used classical machine learning algorithms, some used deep learning algorithms, and others used ensemble techniques. To achieve a comprehensive comparison, one algorithm was chosen from each of the above. …”
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An Efficient Traffic Incident Detection and Classification Framework by Leveraging the Efficacy of Model Stacking by Zafar Iqbal, Majid I. Khan, Shahid Hussain, Asad Habib

“…Moreover, it has been observed that the proposed E-IDC framework outperforms the existing ensemble technique, such as XGBoost used for the classification of incidents.…”
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Les initiatives touristiques comme levier de la réinsertion des anciens combattants des FARC en Colombie by Anne Marie Van Broeck, Monica Guasca, Dominique Vanneste

“…Certains ont également considéré le tourisme comme une voie entrepreneuriale attrayante.Le document offre une vue d'ensemble des initiatives liées au tourisme entreprises par les ex-combattants des différents ETCR en analysant le contenu de plus de 100 publications en ligne relatives à ces initiatives. …”
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Les orangs-outans aiment-ils peindre ? Étude préliminaire des variations du stress en captivité par dosage du cortisol et observation comportementale lors de l'enrichissement du mi... by Baptiste Sadoughi, Victor Narat, Morgane Debuigne, Michel Saint Jalme, Sabrina Krief

“…Les expériences ont été conduites du 30 juin au 22 aout 2014 à la Ménagerie du Jardin des Plantes du Museum National d’Histoire Naturelle, à Paris, avec trois orangs-outans femelles (45, 26 et 9 ans) hébergées ensemble. Le niveau de stress est évalué en combinant étude comportementale et dosage du cortisol salivaire. …”
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El Ekhtiyar ou la mise en martyr des policiers égyptiens. La construction d’un « grand récit » sur petit écran ? by Sixtine Deroure

“…Cette opération passe par le développement d’un deuil public inédit qui célèbre ensemble les morts de la police et de l’armée, désormais désignés sous le terme de « martyrs du devoir » (Deroure, 2022). …”
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