Angle-controlled strong and weak coupling in photon molecules by Feng Xiao, Xiaoqiuyan Zhang, Yueying Wang, Xingxing Xu, Tianyu Zhang, Min Hu

“…Abstract Strong light-matter coupling occurs when the rate of energy exchange between the electromagnetic mode and the molecular ensemble exceeds the competitive dissipation process. …”
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Accurate assembly of full-length consensus for viral quasispecies by Jia Tian, Ziyu Gao, Minghao Li, Ergude Bao, Jin Zhao

“…Abstract Background Viruses can inhabit their hosts in the form of an ensemble of various mutant strains. Reconstructing a robust consensus representation for these diverse mutant strains is essential for recognizing the genetic variations among strains and delving into aspects like virulence, pathogenesis, and selecting therapies. …”
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Data Checking of Asymmetric Catalysis Literature Using a Graph Neural Network Approach by Eduardo Aguilar-Bejarano, Viraj Deorukhkar, Simon Woodward

“…Our method relies on the use of an ensemble of GNN models to predict the expected stereoselectivity of exemplars for a particular asymmetric reaction. …”
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An Accurate Integral Method for Vibration Signal Based on Feature Information Extraction by Yong Zhu, Wanlu Jiang, Xiangdong Kong, Zhi Zheng, Haosong Hu

“…This method took full advantage of the self-adaptive filter characteristic and waveform correction feature of ensemble empirical mode decomposition in dealing with nonlinear and nonstationary signals. …”
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A Comprehensive Methodological Review of Major Developments in Bioinformatics Pipelines for Transcriptomic Data Analysis by Awais ALi, Syed Luqman Ali, Abdelkarem Omneya

“…A novel approach is also introduced: an ensemble learning-based deconvolution method combining multiple techniques to improve accuracy, mitigate data contamination, and reduce errors. …”
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Load Forecasting in Electrical Grids: Analysis of Methods and their Trends by Kyryk V.V., Shatalov Y.O.

“…This analysis evaluates various forecasting approaches, including statistical methods, artificial intelligence, fuzzy logic, ensemble methods, and hybrid systems, to understand their evolution and current state. …”
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The status of when- and where- clauses without an overt antecedent by Bénédicte Guillaume

“…Lorsqu’il s’agit de déterminer à quel type de subordonnée on a affaire, il est également essentiel de se demander si cette dernière peut remplir la fonction de complément circonstanciel, en gardant en mémoire le fait que certains circonstants jouent le rôle de repère énonciatif pour l’ensemble d’un énoncé donné. Le cadre théorique auquel il est fait référence est celui de la Théories des Opérations Enonciatives (TOE) d’A. …”
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Cloud-Based Transaction Fraud Detection: An In-depth Analysis of ML Algorithms by Ali Alhchaimi

“…Conclusion: ML, especially ensemble and boosting models like XGBoost and Random Forest, offers a strong approach to detecting transaction fraud in cloud-based financial systems. …”
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Research on Fault Feature Extraction Method of Rolling Bearing Based on NMD and Wavelet Threshold Denoising by Maohua Xiao, Kai Wen, Cunyi Zhang, Xiao Zhao, Weihua Wei, Dan Wu

“…At present, the proposed methods include wavelet transform, morphological filtering, empirical mode decomposition (EMD), and ensemble empirical mode decomposition (EEMD), which have obvious shortcomings. …”
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Future Changes in Human-Biometeorological Index Classes in Three Regions of Luxembourg, Western-Central Europe by Hanna Leona Lokys, Jürgen Junk, Andreas Krein

“…To account for uncertainties, we used a multimodel ensemble of 12 transient simulations (1971–2098) with a spatial resolution of 25 km. …”
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Functional Connectivity Pattern Analysis Underlying Neural Oscillation Synchronization during Deception by Peng Liu, Hongkui Shen, Shumei Ji

“…These data indicated that the active cognitive processes during deception include changes in ensemble activities between the frontal and parietal/temporal regions.…”
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ESA CCI Soil Moisture Assimilation in SWAT for Improved Hydrological Simulation in Upper Huai River Basin by Yongwei Liu, Wen Wang, Yuanbo Liu

“…In this assimilation, the ensemble Kalman filter (EnKF) is adopted with full consideration of the model and observation error, the rescaling technique for satellite SM, and the regional applicability of the hydrological model. …”
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AI-driven prediction of drug activity against Toxoplasma gondii: Data augmentation and deep neural networks for limited datasets by Natalia V. Karimova, Ravithree D. Senanayake

“…To address training data limitations, we introduced a novel methodology combining targeted descriptor selection, Gaussian noise-based data augmentation, and an ensemble of DNNs. This approach significantly enhanced model performance, increasing the R² from 0.75 with the original dataset to 0.85. …”
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Robust adaptive optimization for sustainable water demand prediction in water distribution systems by Ke Wang, Jiayang Meng, Zhangquan Wang, Kehua Zhao, Banteng Liu

“…The RAOD strategy leverages the Complete Ensemble Empirical Mode Decomposition (CEEMD) to preprocess the water demand series, mitigating the effects of non-stationarity and non-linearity. …”
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Modelling the Impacts of the Changing Climate on Streamflow in Didesa Catchment, Abay Basin, Ethiopia by Amsalu Gudeta Awetu, Tadesse Tujuba Kenea

“…We select three RCMs and their ensemble’s mean by evaluating their performance with respect to observations. …”
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Identification of Vibration Signal for Residual Pressure Utilization Hydraulic Unit Using MRFO-BP Neural Network by Qingjiao Cao, Liying Wang, Jiajie Zhang, Tengfei Guo, Xiyuan Liu

“…Combined with wavelet threshold denoising and Ensemble Empirical Mode Decomposition (EEMD) decomposition, an identification method based on Manta Ray Foraging Optimization-BP (MRFO-BP) neural network for vibration signals of residual pressure utilization hydraulic units is proposed to distinguish the vibration signal of each unit. …”
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Towards Transparent Diabetes Prediction: Combining AutoML and Explainable AI for Improved Clinical Insights by Raza Hasan, Vishal Dattana, Salman Mahmood, Saqib Hussain

“…Using the Pima Indian Diabetes dataset, we developed an ensemble model with 85.01% accuracy leveraging AutoGluon’s AutoML framework. …”
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La momie de Thèbes au musée Redpath? by Loïc Lefebvre

“…L’institution souligne notamment l’ensemble du processus de recherche entourant son joyau, une démarche qui a été grandement médiatisée. …”
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Etudes menées sur les sculptures d'Auvergne en bois polychromé by Marie-Blanche Potte, Dominique Faunières, Agnès Blossier, Lucretia Kargère

“…En France, la région d’Auvergne conserve un important ensemble de sculptures en bois polychromées datées, pour le moment entre le 11eme et le début du 13eme siècle, notamment une vingtaine de Crucifix, une soixantaine de Vierge en majesté et diverses figures de saints. …”
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A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges by Zongxu Liu, Hui Guo, Yingshuai Zhang, Zongliang Zuo

“…Machine learning methods, especially deep learning approaches such as Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs), and ensemble learning techniques like XGBoost, excel in addressing the nonlinearity and complexity of wind power data. …”
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