The Use of Recurrent Neural Networks (S-RNN, LSTM, GRU) For Flood Forecasting Based on Data Extracted from Classical Hydraulic Modeling

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Multifunctional ZnO Nanoparticles Synthesized Using Spirodela polyrhiza Extract: Characterization, Photocatalytic Activity, Antimicrobial Assessment, and In Silico Modeling

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Monitoring of water volume in a porous reservoir using seismic data: Validation of a numerical model with a field experiment

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Beyond Beer‐Lambert Linear Regression: Multi‐Layer Modeling for Wide‐Range Concentration Quantification Using Ultraviolet‐visible Spectroscopy

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Extrapolating human toxicity data with target organ dose (TOD-Wb) model: A meso-scale allometric analytical approach

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The Apoe-/- Mouse PhysioLab® Platform: A Validated Physiologically-based Mathematical Model of Atherosclerotic Plaque Progression in the Apoe-/- Mouse

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Phylogenetic relationships and modeling distributions of the monotypic genus Dolichopetalum (Apocynaceae): Implications for conservation of unique biodiversity in Asian subtropical karst areas

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High Performance AE-CNN Model Enhanced via Gaussian Augmentation for RSSI-Dependent Indoor Positioning in Wireless Sensor Networks

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Modulatory Effects of Folic Acid and Dental Pulp Stem Cell‐Derived Exosomes on Gene Expression in a Periodontal Injury Model

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Spatial analysis of cultural ecosystem services using data from social media: A guide to model selection for research and practice

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Spatio–temporal modelling of in vitro influenza A virus infection: The impact of defective interfering particles on the type I interferon response

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Evaluating machine learning models for multi‐species wildlife detection and identification on remote sensed nadir imagery in South African savanna

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Non-Destructive Compositional Analysis of Lead Halide Perovskite Films Using THz Spectroscopy and a Three-Oscillator Dielectric Model

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Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

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Marketing traditional textile dyeing in China: A dual-method approach of tie-dye using grounded theory and the Kano model

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Hybrid deep learning models for detecting user datagram protocol-based distributed denial of service attacks in internet of things networks

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Forecasting Reliable Power Supply Capability for Provincial Wind and Photovoltaic Systems Using Asymmetric Loss Functions and Quantitative Shrinkage Model

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Research on Energy Management Decision‐Making Methods for Hydrogen–Electricity Coupling in Multi‐Microgrids Under the Virtual Power Plant Model

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Sensor-error-robust normal-behavior modeling for wind turbine drive train failure prediction using a masked autoencoder

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Comparative Study of Seasonal Autoregressive Integrated Moving Average, Vector Autoregression, and Wavelet-Based Models for Meteorological Forecasting in Sylhet, Bangladesh

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