Optimizing machine learning models with multi feature selection for EEG analysis in second language acquisition research

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Measuring accuracy of AI generated definitions using cosine similarity index across select GPT models

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Assimilation of SWOT Reach Water Surface Elevation Product Toward Enhanced Basin‐Scale Discharge Modeling

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High‐Resolution Digital Terrain Model and Land‐Surface Parameters of São Sebastião and Ilhabela, Southeastern Brazil

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A large transient multi-scenario multi-model ensemble of future streamflow and groundwater projections in France

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Centrifuge modeling on seismic response for soil-foundation-building systems supported by shallow foundations and deep basements

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Deep Learning of Systematic Ocean Model Errors in a Coupled GCM From Data Assimilation Increments

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The Influence of Open Boundary Conditions and Model Resolution on Shallow Cloud Organization in Atmospheric Large Eddy Simulations

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ChatMPC: a language-driven model predictive control framework for adaptive and personalized autonomous driving

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Artificial Neural Network Surrogate Modelling for Predicting and Optimising CO2 Conversion to Methanol Under Uncertainty

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Towards Generalisable and Explainable Traffic Signal Control via Deep Reinforcement Learning and Large Language Models

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Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

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Stacking Large Language Models is All You Need: A Case Study on Phishing Url Detection

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The Role of Monetary Evaluation and Social Pressure Within the Residential Rooftop Photovoltaic Systems Diffusion Model PVact

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Form analysis in Baroque music using artificial intelligence: investigation and comparison of three artificial intelligence models

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Feiolix feijoa fruit powder improves metabolic markers in a high fat diet mouse model

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Pasteurized Akkermansia muciniphila AKK ONE improves aging-related phenotypes and increases lifespan in zebrafish models

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Trends of Maize Production in Mozambique: A Fixed Effects Model Analysis of Two Decades (2002-2023)

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DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning

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Integrated groundwater flow modeling and prediction of septic-derived phosphate plume in shallow aquifers of the Niger Delta

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