Global Impact Assessment of Internal Climate Variability on Maize Yield Under Climate Change by Guoyong Leng

“…By combining initial condition large ensembles from multiple climate models with machine‐learning based crop model emulators, an ensemble of 2002 global maize yield simulations are conducted. …”
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Improving Regional Dynamic Downscaling with Multiple Linear Regression Model Using Components Principal Analysis: Precipitation over Amazon and Northeast Brazil by Aline Gomes da Silva, Claudio Moises Santos e Silva

“…Therefore, numerous techniques have been tested in order to generate more reliable predictions, and two techniques have excelled in science: dynamic downscaling, through regional models, and ensemble prediction, combining different outputs of climate models through the arithmetic average, in other words, a postprocessing of the output data species. …”
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Initialized Decadal Predictions by LASG/IAP Climate System Model FGOALS-s2: Evaluations of Strengths and Weaknesses by Bo Wu, Xiaolong Chen, Fengfei Song, Yong Sun, Tianjun Zhou

“…The decadal prediction experiment by FGOALS-s2 shows significant high predictive skills in the Indian Ocean, tropical western Pacific, and Atlantic, similar to the results of the CMIP5 multimodel ensemble. The predictive skills in the Indian Ocean and tropical western Pacific are primarily attributed to the model response to the external radiative forcing associated with the change of atmospheric compositions. …”
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Figurines féminines archaïques de terre cuite en contexte funéraire punique dans la Méditerranée centrale et occidentale by Joan Ramon Torres, Chahla Dhahbi

“…Une mentalité nettement antiquaire installée dans la philosophie des fouilles de nécropoles, objectif clé de l’archéologie punique dès les dernières décennies du XIXe au premier tiers du XXe siècle, ensemble à l’analyse des matériaux récupérés selon les conceptions de l’Histoire de l’Art, a comporté des visions nettement partielles, voire déformées, d’une réalité funéraire bien plus vaste et complexe. …”
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Les quais romains d’Aizier (Eure) by Jimmy Mouchard

“…The site has revealed the remains of an ensemble of monumental Roman stone harbor terraces, made of powerful limestone reinforcements. …”
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Politics of Counter-Memory in Turkey: Docudramatizing the Past as a Panacea for Official Discourses? by Nuran E. Işik

“…The past of the Turkish Republic as well as the life of Mustafa Kemal Atatürk (the founder of the Republic) have always been narrated though memory rituals, speeches and official announcements, celebrations, movies and reports which created an ensemble of practices re-dramatizing the historical events and figures. …”
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Uncertainty Quantification of GEKO Model Coefficients on Compressible Flows by Yeong-Ki Jung, Kyoungsik Chang, Jae Hyun Bae

“…The affine invariant ensemble algorithm (AIES) is selected to characterize the posterior distribution via Markov chain Monte Carlo sampling. …”
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Un groupe de travail pluridisciplinaire en primatologie : des neurosciences à l'écologie. by Sébastien Bouret, Shelly Masi, Romain Lacoste, Marie Bourgeade, Cécile Garcia, Adrien Meguerditchian, Helene Meunier, Pau Molina Vila

“…Nous présenterons brièvement le bilan de la première réunion de ce groupe de travail, qui a pour vocation de s’ouvrir à l'ensemble de la communauté des primatologues. Au-delà des divers points d’intérêts communs et des échanges d’expertise technique, nous avons identifié un certain nombre de projets scientifiques soulignant la valeur ajoutée de cette approche pluridisciplinaire.…”
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Content-Based Image Retrieval Using Colour, Gray, Advanced Texture, Shape Features, and Random Forest Classifier with Optimized Particle Swarm Optimization by Manoharan Subramanian, Velmurugan Lingamuthu, Chandran Venkatesan, Sasikumar Perumal

“…The matching accuracy and the speed of image retrieval are improved by an ensemble of machine learning algorithms for the similarity search.…”
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TIE‐GCM ROPE ‐ Dimensionality Reduction: Part I by Piyush M. Mehta, Richard J. Licata

“…The methodology uses an ensemble of temporal dynamic models to provide uncertainty estimates in the prediction. …”
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A CEEMDAN-Based Entropy Approach Measuring Multiscale Information Flow between Macroeconomic Conditions and Stock Returns of BRICS by Emmanuel Asafo-Adjei, Anokye Mohammed Adam, Peterson Owusu Junior, Patrick Kwashie Akorsu, Clement Lamboi Arthur

“…We model a mixture of asymmetric and nonlinear bidirectional and unidirectional causality between four macroeconomic variables (exchange rate, GDP, global economic policy uncertainty, and relative CPI) and stock returns of BRICS economies in the frequency-domain using the information flow theory. The Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN)-based Rényi effective transfer entropy approach is used to establish dynamic flow of information between macroeconomic variables and stock returns of BRICS. …”
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A Novel Method to Forecast Nitrate Concentration Levels in Irrigation Areas for Sustainable Agriculture by Halil Karahan, Müge Erkan Can

“…The proposed model, although based on an artificial neural network (ANN), also has the potential to be adapted for methods used in machine learning and artificial intelligence, such as Support Vector Machines, Decision Trees, Random Forests, and Ensemble Learning Methods.…”
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Electronic Health Record Use Patterns Among Well-Being Survey Responders and Nonresponders: Longitudinal Observational Study by Daniel Tawfik, Tait D Shanafelt, Mohsen Bayati, Jochen Profit

“…We quantified EHR use using vendor-derived and investigator-derived measures, quantified burnout symptoms using emotional exhaustion and interpersonal disengagement subscales of the Stanford Professional Fulfillment Index, and used an ensemble of response propensity-weighted penalized linear regressions to develop a burnout symptom prediction model. …”
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Collecte de sperme by Romain Lacoste, Guillaume Martinez, Christophe Arnoult

“…La constitution d'un réseau de praticiens pouvant collecter du sperme sur l'ensemble du territoire peut permettre la constitution d'une spermothèque. …”
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Short-Term Origin-Destination Based Metro Flow Prediction with Probabilistic Model Selection Approach by Xiaoqing Dai, Lijun Sun, Yanyan Xu

“…., autoregressive-moving-average, neural networks, support vector regression, and averaging ensemble model, as well as the basic models. The results indicate that the proposed approach outperforms the others in most cases. …”
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Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer by Weijie Tang, Jiayan Chen, Dongjiao Chen

“…Then, the autoencoder is utilized to fuse the features of long-term and short-term SOH degradation trends extracted by empirical degradation models and Complete Ensemble Empirical Mode Decomposition with Adaptive Noise to improve the prediction accuracy over different prediction lengths. …”
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Person Reidentification Model Based on Multiattention Modules and Multiscale Residuals by Yongyi Li, Shiqi Wang, Shuang Dong, Xueling Lv, Changzhi Lv, Di Fan

“…Furthermore, a global branch and a local branch are designed and applied to enhance the channel aggregation and position perception ability of the network by utilizing the dual ensemble attention module, as along as the fine-grained feature expression is obtained by using multiproportion block and reorganization. …”
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Model Optimization Analysis of Customer Churn Prediction Using Machine Learning Algorithms with Focus on Feature Reductions by Seyed Mohammad Sina Mirabdolbaghi, Babak Amiri

“…It outperforms other ensemble and ML algorithms like AdaBoost, SVM, and decision tree on over seven evaluation metrics: accuracy, area under the curve (AUC), Kappa, Mathews correlation coefficient (MCC), Brier score, F1 score, and EMPC. …”
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Espace d’assistance, espace de pouvoir : les dispositifs d’accueil et d’hébergements dans quelques monastères bénédictins en Normandie aux XIIe et XIIIe siècles by Mathilde Gardeux

“…Les investigations ont porté sur l’organisation de l’accueil des pauvres comme des hôtes de marque, en joignant l’analyse des sources écrites et des vestiges archéologiques, afin de dessiner une première vue d’ensemble de la topographie de l’accueil et de la place occupée par les laïcs, nobles ou pauvres, à l’intérieur de ces établissements.…”
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Combined Failure Diagnosis of Slewing Bearings Based on MCKD-CEEMD-ApEn by Fengtao Wang, Chenxi Liu, Wensheng Su, Zhigang Xue, Qingkai Han, Hongkun Li

“…The signals were then decomposed into several intrinsic mode functions (IMFs) by complementary ensemble empirical mode decomposition (CEEMD). Appropriate IMFs were selected based on the correlation coefficient and kurtosis. …”
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