A Hybrid Domain Degradation Feature Extraction Method for Motor Bearing Based on Distance Evaluation Technique by Baiyan Chen, Hongru Li, He Yu, Yukui Wang

“…Firstly, the vibration signal of the motor bearing is decomposed by ensemble empirical mode decomposition (EEMD). The proper intrinsic mode function (IMF) component that is the most sensitive to the degradation of the motor bearing is selected according to the sensitive IMF selection algorithm based on the similarity evaluation. …”
Get full text

The Group-Algebraic Formalism of Quantum Probability and Its Applications in Quantum Statistical Mechanics by Yan Gu, Jiao Wang

“…Indeed, on the quantum side, this group-theoretical characteristic function is equivalent to the density matrix; hence, it can be adopted to represent the state of a quantum ensemble. It is also found that this new representation may have significant advantages in applications. …”
Get full text

International Gold Price Forecast Based on CEEMDAN and Support Vector Regression with Grey Wolf Algorithm by Wanbo Lu, Tingting Qiu, Wenhui Shi, Xiaojun Sun

“…The original gold price data are decomposed into 12 intrinsic mode functions and a residual by the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) method, and then the 13 sequences are reconstructed into a high-frequency subsequence (IMFH), a low-frequency subsequence (IMFL), and the residual (Res). …”
Get full text

Seismic Response Reduction of Structures Equipped with a Voided Biaxial Slab-Based Tuned Rolling Mass Damper by Shujin Li, Liming Fu, Fan Kong

“…In this regard, a tuned rolling mass damper system (“TRoMaDaS”) is newly proposed, in combination with hollow slabs, to act as an ensemble passive damping device mitigating structural responses. …”
Get full text

El Niño-like tropical Pacific ocean cooling pattern during the Last Glacial Maximum by A. Hou, L. Jonkers, H. L. Ford, S. L. Ho

“…Here, we examine past changes in the tropical Pacific upper ocean spatial pattern using paleoclimate reconstructions from proxies and simulations from a multi-model ensemble. The proxy results demonstrate that during the Last Glacial Maximum, when atmospheric carbon dioxide concentrations were lower than present, temperatures in the western tropical Pacific Ocean decreased more than in the east, leading to an El Niño-like cooling pattern. …”
Get full text

Une base de données sur les Primates du Miocène by Daria Petruso, Luca Sineo

“…Nos recherches se sont portées sur la question complexe de la cohérence des évaluations quantitatives de données anciennes sur des fossiles des primates du Miocène. L'ensemble de données présenté ici a été compilé avec les informations et le format de la base de données propre à NOW (Néogène mammifères de l'Ancien Monde), complété par des informations obtenues auprès de sources diverses. …”
Get full text

Effectiveness Evaluation of Random Forest, Naive Bayes, and Support Vector Machine Models for KDDCUP99 Anomaly Detection Based on K-means Clustering by Zhang Majun

“…The paper concludes by highlighting the value of ensemble approaches, in particular Random Forest, for tackling anomaly detection and network security issues, particularly hi light of the expanding significance of social networks and the internet.…”
Get full text

La personnification de la France dans la littérature de la fin du Moyen-Âge by Thierry Lassabatère

“…Signe d’une fécondité littéraire qui refléterait – voire inspirerait – celle du droit, l’œuvre de ces deux auteurs offre, dans une profusion rare et selon un remarquable principe d’enrichissement poétique, l’ensemble des procédés rhétoriques qui créent la personnification : des plus simples, qui limitent la personne France à une voix désincarnée, aux plus complexes, qui dressent le tableau d’une belle femme désolée, abandonnée, allant jusqu’à l’insérer dans une trame relationnelle qui achève de l’instituer comme personne réelle et indépendante.…”
Get full text

On the Difference between Self-Assembling Process of Monomeric and Dimeric Surfactants with the Same Head to Tail Ratio: A Lattice Monte Carlo Simulation by Reza Behjatmanesh-Ardakani, Maryam Farsad

“…To do this, lattice Monte Carlo simulation in canonical ensemble has been used. Results show that without introducing extra beads as spacer group, the CMC of (H3T3)2 as a dimeric surfactant is much lower than the CMC of its similar single chain, H3T3. …”
Get full text

Mykonos : Lieu remarquable de rencontre et de confrontation entre les habitants permanents et les touristes by Olivier Etcheverria

“…C’est une île « gastronomique », au sens de gastronomie entendu comme l’ensemble des règles, des discours et des imaginaires liés au bien boire et au bien manger, dans lequel peuvent se projeter les touristes. …”
Get full text

Tree-Based Algorithms and Incremental Feature Optimization for Fault Detection and Diagnosis in Photovoltaic Systems by Khaled Chahine

“…By introducing novel feature importance averaging techniques, a two-phase fault detection and diagnosis framework employing tree-based models is proposed to identify faults from normal cases and diagnose the fault type. An ensemble of six tree-based classifiers, including decision trees, random forest, Stochastic Gradient Boosting, LightGBM, CatBoost, and Extra Trees, is trained in both phases. …”
Get full text

Voyage à travers un baril de poudre : Guerre et imaginaire touristique à Sarajevo by Patrick Naef

“…Cette ville, ainsi que l’ensemble de la région des Balkans, a souvent été assimilée à un baril de poudre, notamment à travers la couverture médiatique du conflit qui a embrasé les Balkans dans les années 90. …”
Get full text

Analysis of drought and extreme precipitation events in Thailand: trends, climate modeling, and implications for climate change adaptation by José Francisco de Oliveira-Júnior, David Mendes, Helder Dutra Porto, Kelvy Rosalvo Alencar Cardoso, José Augusto Ferreira Neto, Emannuel Bezerra Cavalcante da Silva, Marlúcia de Aquino Pereira, Monica Cristina Damião Mendes, Bernardo Bruno Dias Baracho, Punyawi Jamjareegulgarn

“…The objective is to assess extreme drought and rainfall events in Thailand based on climate modeling through an ensemble for future projections of extreme climate indices. …”
Get full text

Modelling the seasonal dynamics of Aedes albopictus populations using a spatio-temporal stacked machine learning model by Daniele Da Re, Giovanni Marini, Carmelo Bonannella, Fabrizio Laurini, Mattia Manica, Nikoleta Anicic, Alessandro Albieri, Paola Angelini, Daniele Arnoldi, Federica Bertola, Beniamino Caputo, Claudio De Liberato, Alessandra della Torre, Eleonora Flacio, Alessandra Franceschini, Francesco Gradoni, Përparim Kadriaj, Valeria Lencioni, Irene Del Lesto, Francesco La Russa, Riccardo Paolo Lia, Fabrizio Montarsi, Domenico Otranto, Gregory L’Ambert, Annapaola Rizzoli, Pasquale Rombolà, Federico Romiti, Gionata Stancher, Alessandra Torina, Enkelejda Velo, Chiara Virgillito, Fabiana Zandonai, Roberto Rosà

“…Stacked ensemble modelling incorporates predictions from multiple base learners or models as inputs for a meta-learner. …”
Get full text

Evaluation of CORDEX ERA5-forced NARCliM2.0 regional climate models over Australia using the Weather Research and Forecasting (WRF) model version 4.1.2 by G. Di Virgilio, G. Di Virgilio, F. Ji, F. Ji, E. Tam, J. P. Evans, J. P. Evans, J. Kala, J. Andrys, C. Thomas, D. Choudhury, C. Rocha, Y. Li, M. L. Riley

“…At convection-permitting scale over southeastern Australia, mean absolute biases for mean precipitation for the ERA5 RCM ensemble are around 79 % smaller versus the ERA-Interim RCMs that simulate for this region. …”
Get full text

dyphAI dynamic pharmacophore modeling with AI: a tool for efficient screening of new acetylcholinesterase inhibitors by Yasser Hayek-Orduz, Dorian Armando Acevedo-Castro, Dorian Armando Acevedo-Castro, Juan Sebastián Saldarriaga Escobar, Brandon Eli Ortiz-Domínguez, María Francisca Villegas-Torres, Paola A. Caicedo, Álvaro Barrera-Ocampo, Natalie Cortes, Edison H. Osorio, Andrés Fernando González Barrios

“…In this study, we developed and employed dyphAI, an innovative approach integrating machine learning models, ligand-based pharmacophore models, and complex-based pharmacophore models into a pharmacophore model ensemble. This ensemble captures key protein-ligand interactions, including π-cation interactions with Trp-86 and several π-π interactions with residues Tyr-341, Tyr-337, Tyr-124, and Tyr-72. …”
Get full text

Comparative Analysis of Machine Learning Models for Predicting Interfacial Bond Strength of Fiber-Reinforced Polymer-Concrete by Miljan Kovačević, Marijana Hadzima-Nyarko, Predrag Petronijević, Tatijana Vasiljević, Miroslav Radomirović

“…This study presents a detailed analysis of various machine learning models for predicting the interfacial bond strength of fiber-reinforced polymer (FRP) concrete, including multiple linear regression, Multigene Genetic Programming (MGGP), an ensemble of regression trees, Gaussian Process Regression (GPR), Support Vector Regression (SVR), and neural networks. …”
Get full text

Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction. by Muhammad Rizwan Khurshid, Sadaf Manzoor, Touseef Sadiq, Lal Hussain, Mohammed Shahbaz Khan, Ashit Kumar Dutta

“…This study focused on optimizing the hyperparameters of an XGBoost ensemble machine learning model using Bayesian optimization. …”
Get full text

The Sensitivity of Heavy Precipitation to Horizontal Resolution, Domain Size, and Rain Rate Assimilation: Case Studies with a Convection-Permitting Model by Xingbao Wang, Peter Steinle, Alan Seed, Yi Xiao

“…The result indicates that model resolution and domain size should be considered as part of probabilistic precipitation forecasts and ensemble prediction system design besides the model initial field uncertainty.…”
Get full text

Simulation of global sea surface temperature maps using Pix2Pix GAN by Deepayan Chakraborty, Adway Mitra

“…Notably, we trained and validated our cGAN model on completely distinct time periods across all ensemble members of the EC-Earth3-CC and CMCC-CM2-SR5 CMIP6 models, demonstrating satisfactory results and confirming the generalizability of our proposed model.…”
Get full text