Stratégies de manipulation d’outils lors de la tâche du labyrinthe chez les gorilles et les orangs-outans by Ameline Bardo, Emmanuelle Pouydebat

“…Une ACP a été réalisée sur l’ensemble des sessions ainsi qu’une ACP sur la session considérée comme la plus performante pour chaque individu, c’est-à-dire celle au cours de laquelle l’individu a effectué le moins de mouvements de la main. …”
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Les ports romains atlantiques et intérieurs en France : équipement, architecture, fonction et environnement by Jimmy Mouchard

“…Today, its spectacular remains invite a re-appraisal of the ensemble of documentation concerning the Roman ports of the Three Gauls, enriched by recent research excavations, as well as by a wave of rescue operations carried out between 2000 and 2010.…”
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Climate variability can outweigh the influence of climate mean changes for extreme precipitation under global warming by K. Nordling, K. Nordling, N. L. S. Fahrenbach, B. H. Samset

“…Our analysis is based on initial-condition large-ensemble simulations from three fully coupled Earth system models (MPI-ESM1-2-LR, CanESM5 and ACCESS-ESM1-5) contributing to the Climate Model Inter-comparison Project Phase 6 (CMIP6). …”
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Impact of Climate Change on the Habitat Distribution of <i>Decapterus macarellus</i> in the South China Sea by Qikun Shen, Peng Zhang, Wenming Yu, Pengli Xiong, Yancong Cai, Jie Li, Zuozhi Chen, Jiangtao Fan

“…This study examines the potential distribution of Mackerel scad (<i>Decapterus macarellus</i>) in the South China Sea under future climate scenarios (SSP 1.26, SSP 2.45, SSP 5.85) using an ensemble species distribution model (SDM). Key environmental variables included sea surface salinity (SSS), sea surface height (SSH), sea surface temperature (SST), mixed-layer depth (MLD), chlorophyll-a concentration (CHL), and sea-bottom temperature (SBT). …”
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Zero-day exploits detection with adaptive WavePCA-Autoencoder (AWPA) adaptive hybrid exploit detection network (AHEDNet) by Ahmed A. Mohamed, Abdullah Al-Saleh, Sunil Kumar Sharma, Ghanshyam G. Tejani

“…Furthermore, a novel “Adaptive Hybrid Exploit Detection Network (AHEDNet)” was introduced which address the dynamic ensemble adaptation issue where the accuracy of anomaly detection is very high with low false positives. …”
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Monitoring Soil Salinity in Arid Areas of Northern Xinjiang Using Multi-Source Satellite Data: A Trusted Deep Learning Framework by Mengli Zhang, Xianglong Fan, Pan Gao, Li Guo, Xuanrong Huang, Xiuwen Gao, Jinpeng Pang, Fei Tan

“…These variables are then integrated into various machine learning models—such as Ensemble Tree (ETree), Random Forest (RF), Extreme Gradient Boosting (XGBoost), and LightBoost—as well as deep learning models, including Convolutional Neural Networks (CNN), Residual Networks (ResNet), Multilayer Perceptrons (MLP), and Kolmogorov–Arnold Networks (KAN), for modeling. …”
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Effect of climate change on potential distribution of Dactylorhiza hatagirea (D. Don) Soó in the twenty-first century across the north-western Himalayas by Dad Javaid M., Rashid Irfan

“…In the present study, the maximum entropy modelling (MaxEnt) was used to quantify the impact of climate change on the distribution of D. hatagirea over the next 50 years under representative concentration pathways (RCP) 4.5 and 8.5, using ensemble mean of four general circulation models, viz. …”
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Integrated CNN‐LSTM for Photovoltaic Power Prediction based on Spatio‐Temporal Feature Fusion by Junwei Ma, Meiru Huo, Jinfeng Han, Yunfeng Liu, Shunfa Lu, Xiaokun Yu

“…When the prediction interval is set to 5 min, the RMSE loss of the integrated model on the test set is reduced by 13.5%, 6.9%, and 5.1% compared to the CNN, LSTM, and CNN‐LSTM models included in the ensemble, respectively.…”
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Long-term tracking of neural and oligodendroglial development in large-scale human cerebral organoids by noninvasive volumetric imaging by Sangjun Park, Cheol Hong Min, Eunjin Choi, Jeong-Sun Choi, Kyungjin Park, Seokyoung Han, Wonjun Choi, Hyun-Jong Jang, Kyung-Ok Cho, Moonseok Kim

“…Addressing these pivotal challenges, our study has pioneered a high-speed scanning microscope, synergistically coupled with advanced computational image processing. This ensemble has empowered us to monitor the intricate dynamics of neuron and oligodendrocyte development within cerebral organoids across a trajectory of approximately two months. …”
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Modeling, evaluation and forecasting of suspended sediment load in Kal-e Shur River, Sabzevar Basin, in northeast of Iran by M. A. Zangeneh Asadi, L. Goli Mokhtari, R. Zandi, M. Naemitabar

“…This research aims to estimate suspended sediment levels in the Kal-e Shur Sabzevar River using various machine learning algorithms, which have gained popularity in recent years due to their high accuracy and reliability. The study employs ensemble Bagging algorithms, the gradient boosting machine (GBM), genetic algorithm, Naïve Bayes algorithm, gradient boosting decision trees, and extremely randomized trees. …”
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Application of Nighttime Light Data Simulation Based on Multi-Indicator System and Machine Learning Model in Predicting Potentially Suitable Economic Development Areas: A Case Stud... by Guangpeng Zhang, Li Zhang, Yiyang Chen, Meng Chen, Jingjing Tian, Yin Wu

“…To address these challenges, this study innovatively combines nighttime light remote sensing data to quantify urban economic development intensity and integrates socioeconomic and natural environment indicators based on previous research. Four tree-based ensemble learning models—Random Forest (RF), Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), and Categorical Boosting (CatBoost)—were employed to predict potential urban economic development suitability zones and their suitability intensity. …”
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Future Climate Change Shifts the Ranges of Major Encroaching Woody Plant Species in the Southern Great Plains, USA by Jia Yang, Rodney Will, Lu Zhai, Chris Zou

“…In this study, we employed an ensemble approach integrating results from multiple Species Distribution Models to project future distribution ranges of four major WPE species (Ashe juniper, honey mesquite, post oak, and eastern redcedar) in the SGP across the 21st century. …”
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Association between chronic pain and physical activity in a Swiss population-based cohort: a cross-sectional study by Pedro Marques-Vidal, Peter Vollenweider, Oriane Aebischer, Marc René Suter

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Coherent Control of Single Molecules via Phase-Shaped Two-Photon Excitation at Room Temperature by Xin-peng Xu, Tobias M. Herkenrath, Ullrich Scherf, Richard Hildner

“…However, for larger functional molecules in condensed phase at room temperature, ensemble measurements do typically not allow exerting full control over competing pathways due to the unavoidable influence of the surrounding (mostly complex) environment. …”
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The Impact of Length-Scale Variation When Diagnosing the Standard Deviations of Background Error in a 4D-Var System and Filtering Method Investigation by Xiang Xing, Bainian Liu, Weimin Zhang, Xiaoqun Cao, Hongze Leng

“…The four-dimensional variational data assimilation (4D-Var) method has been widely employed as an operational scheme in mainstream numerical weather prediction (NWP) centers. In addition to the ensemble data assimilation method, the randomization technique is still used to diagnose the standard deviations of background error in variational data assimilation (VAR) systems; however, such randomization techniques induce sampling noise, which may contaminate the quality of the standard deviations. …”
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Smoothing Photovoltaic Power Fluctuations for Cascade Hydro-PV-Pumped Storage Generation System Based on a Fuzzy CEEMDAN by Lei Chen, Jun Wang, Zhang Sun, Tao Huang, Fan Wu

“…Based on the optimal base power of variable-speed pumped storage station (VSPSS), a smoothing method of fuzzy complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) is proposed in this paper. …”
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Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model by Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao

“…The RFR algorithm integrates Bagging ensemble learning and random subspace theory to construct multiple decision trees and aggregate their predictions, thereby enhancing the model’s prediction accuracy and stability. …”
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Chemistry Combining Elemental Profile, Stable Isotopic Ratios, and Chemometrics for Fine Classification of a Chinese Herb Licorice (Glycyrrhiza uralensis Fisch.) from 37 Producing... by Zhongying Lu, Chengying Hai, Simin Yan, Lu Xu, Daowang Lu, Yixin Sou, Hengye Chen, Xiaolong Yang, Haiyan Fu, Jian Yang

“…For fine classification, three multiclass strategies, including the traditional one-versus-rest (OVR) and one-versus-one (OVO) strategies and a new ensemble strategy (ES), were combined with two binary classifiers, partial least squares discriminant analysis (PLSDA) and least squares support vector machines (LS-SVM). …”
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Breit über mein Haupt dein schwarzes Haar. Vier auktoriale Versionen von Richard Strauss’ Schack-Vertonung op. 19/2, betrachtet unter performativem Aspekt by Kilian Sprau

“…In addition, the two recordings are analyzed with regard to differing characteristics of performance, considering features such as tempo, agogics and ensemble interplay. In summary, the article demonstrates that a crucial difference between the two notated versions consists in how they allow for alternative performances, especially with reference to the interaction of singer and pianist.…”
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Research on the rapid diagnosis method for hunting of high-speed trains by Wanru Xie, Yixin Zhao, Gang Zhao, Fei Yang, Zilong Wei, Jinzhao Liu

“…Design/methodology/approach – First, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) is performed to determine the first characteristic component of the car body’s lateral acceleration. …”
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