A Comparative Study of VMD-Based Hybrid Forecasting Model for Nonstationary Daily Streamflow Time Series by Hui Hu, Jianfeng Zhang, Tao Li

“…The latest decomposition model, the VMD algorithm, was first applied to extract the multiscale features from the entire time series and to decompose them into several subseries, which were predicted after that using forecast models. The ensemble forecast was finally reconstructed by summing. …”
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Villes durables : leviers de nouveaux modèles économiques et de développement? by Jean-Christophe Lipovac, Antoine Boutonné

“…Toutefois, les villes, en Europe en particulier, sont confrontées à un ensemble de mutations sociales et économiques profondes. …”
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A comparative performance analysis of machine learning models for compressive strength prediction in fly ash-based geopolymers concrete using reference data by Muhammad Kashif Anwar, Muhammad Ahmed Qurashi, Xingyi Zhu, Syyed Adnan Raheel Shah, Muhammad Usman Siddiq

“…The findings indicate that ensemble methods and ANNs deliver superior accuracy, with R² values ranging from 0.88 to 0.92 and minimal errors. …”
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Retrospectively understanding the multifaceted interplay of COVID-19 outbreak, air pollution, and sociodemographic factors through explainable AI by Mohmmed Talib, Kripabandhu Ghosh, Gopala Krishna Darbha

“…We utilized a Negative Binomial model for interpretability and implemented a stacked ensemble framework to enhance predictive performance. …”
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Present-day mass loss rates are a precursor for West Antarctic Ice Sheet collapse by T. van den Akker, W. H. Lipscomb, G. R. Leguy, J. Bernales, C. J. Berends, W. J. van de Berg, R. S. W. van de Wal, R. S. W. van de Wal

“…We find that, for all ensemble members, the Thwaites Glacier and Pine Island Glacier collapse. …”
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Le respect de l’animal inscrit pour la première fois dans les programmes scolaires français à la rentrée 2024 : une avancée à encourager pour une protection interspécifique... by Aloïse Quesne

“…Il a en effet pour conséquence d’interroger et de renouveler la notion de « vivre ensemble », en promouvant la cohabitation harmonieuse du Vivant (homme, animal, nature). …”
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Isospin-symmetry breaking in kaon production: The role of charge-symmetry by Giacosa Francesco

“…In particular, we show that the ensemble of the initial colliding nuclei being charge-symmetric is sufficient for producing an equal number of charged and neutral kaons in the isospin-symmetry exact limit.…”
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INTEGRATING NEURAL NETWORKS INTO SHEET METAL FORMING: A REVIEW OF RECENT ADVANCES AND APPLICATIONS by COSMIN - CONSTANTIN GRIGORAȘ, ȘTEFAN COȘA, VALENTIN ZICHIL

“…Exploring datasets from a variety of sheet metal forming processes, numerous machine learning models, including ensemble and single learning techniques are investigated. …”
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Le voyage au centre de l’Europe : l’avant-garde parisienne dans la collection internationale d’art moderne à Łódź by Matylda Taszycka

“…Constituted thanks to the generosity of the authors solicited, local and foreign, this exceptional ensemble is similar to an artist’s collection whose study enables the international relations of the Polish avant-garde in the interwar period to be retraced. …”
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BERCEUSES DU CHAT BY IGOR STRAVINSKY by Răzvan METEA

“…The timbral balance achieved between the voice and the instrumental ensemble, the lyrical manner of musical expression, the specific rhythmic-melodic typologies of writing, the chromatic versus diatonic dichotomy, the affiliation of the opuses to the comic aesthetic category are characteristics of this series of four micro-art-songs, cradle songs, dedicated to and apparently describing the characteristics of a cat. …”
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Biosensor response to multi-component mixtures statistical analysis and forecasting by Romas Baronas, Sigitas Būda, Feliksas Ivanauskas, Pranas Vaitkus

“…Finally a concentration estimation model based on ensemble of neural networks is presented. …”
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The first-layer frescoes in the dome of the Rotunda of Saint George in Sofia by Zakharova Anna

“…This motif can be traced in the churches of the Archbishopric of Ohrid starting from Saint Sophia Cathedral (ca. 1052-56). It is to that ensemble that the Rotunda frescoes are closest in style as well. …”
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Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches by Kamal Hossain Nahin, Jamal Hossain Nirob, Akil Ahmad Taki, Md Ashraful Haque, Narinderjit Sawaran SinghSingh, Liton Chandra Paul, Reem Ibrahim Alkanhel, Hanaa A. Abdallah, Abdelhamied A. Ateya, Ahmed A. Abd El-Latif

“…Leveraging a meta learner-based stacked generalization ensemble strategy, this study integrates classical machine learning techniques with an optimized multi-feature stacked ensemble to predict antenna properties with greater accuracy. …”
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Potential Impacts of Future Climate Changes on Crop Productivity of Cereals and Legumes in Tamil Nadu, India: A Mid-Century Time Slice Approach by Vellingiri Geethalakshmi, Ramasamy Gowtham, Radhakrishnan Gopinath, Shanmugavel Priyanka, Marimuthu Rajavel, Kandasamy Senthilraja, Manickam Dhasarathan, Raj Rengalakshmi, Kulanthaivel Bhuvaneswari

“…Future climate projections made through multi-climate model ensemble could increase the plausibility of future climate change impact assessment on crop productivity. …”
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Model analysis of biases in the satellite-diagnosed aerosol effect on the cloud liquid water path by H. Kokkola, H. Kokkola, J. Tonttila, S. M. Calderón, S. Romakkaniemi, A. Lipponen, A. Peräkorpi, T. Mielonen, E. Gryspeerdt, T. H. Virtanen, P. Kolmonen, A. Arola

“…In this study, we used an ensemble of large eddy simulations of marine stratocumulus clouds to investigate the correlation between cloud liquid water path (LWP) and the amount of cloud condensation nuclei. …”
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Virtual choir as a kind of digital musical art by Xinbin Fu

“…A virtual choir does not require many purely choral skills to achieve a result (ensemble, tuning, responding to the conductor’s gesture and singing by colleagues in the part), but requires significant technical knowledge and skills (video and audio recording, editing, correction, etc.). …”
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Exploring Machine Learning Classification of Movement Phases in Hemiparetic Stroke Patients: A Controlled EEG-tDCS Study by Rishishankar E. Suresh, M S Zobaer, Matthew J. Triano, Brian F. Saway, Parneet Grewal, Nathan C. Rowland

“…Eight machine learning algorithms and five ensemble methods were used to classify two movement phases (hold posture and reaching) during each of these periods. …”
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Using computer modeling to find new LRRK2 inhibitors for parkinson’s disease by María C. García, Sebastián A. Cuesta, José R. Mora, Jose L. Paz, Yovani Marrero-Ponce, Frank Alexis, Edgar A. Márquez

“…This study aims to create a detailed dataset to build strong predictive models with various machine learning algorithms. An ensemble modeling approach was employed to screen the DrugBank database, aiming to repurpose approved medications as potential treatments for Parkinson’s disease (PD). …”
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Identification of Parkinson’s disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach by Yifeng Yang, Liangyun Hu, Yang Chen, Weidong Gu, Guangwu Lin, YuanZhong Xie, Shengdong Nie

“…Two multi-modal fusion strategies were used: feature-level fusion, where we employed a hybrid feature selection algorithm combining Fisher discriminant analysis, an ensemble Lasso (EnLasso) method, and partial least squares (PLS) regression to identify and integrate the most informative features from neuroimaging and genetic data; and decision-level fusion, where we developed an adaptive ensemble stacking (AE_Stacking) model to synergistically integrate the predictions from multiple base classifiers trained on individual modalities.ResultsThe AE_Stacking model achieving the highest average balanced accuracy of 95.36% and an area under the receiver operating characteristic curve (AUC) of 0.974, significantly outperforming feature-level fusion and single-modal models (p < 0.05). …”
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Spin Polarization Oscillations and Coherence Time in the Random Interaction Approach by P. Pereyra

“…We apply the Extended Gaussian Orthogonal Ensemble approach to model the stochastic system-environment interaction and calculate the survival and spin polarization to first and second order of the interaction picture. …”
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