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https://doi.org/10.2139/ssrn.4642564
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Deep Learning-Based Numerical Methods for High-Dimensional Parabolic Partial Differential Equations and Backward Stochastic Differential Equations
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Performance prediction of proton-exchange membrane fuel cell based on convolutional neural network and random forest feature selection
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Object detection in optical remote sensing images: A survey and a new benchmark
inferredcites →https://doi.org/10.1016/j.jclepro.2020.121285openalex-extracted
Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2.5 forecasting
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Prediction of SOx–NOx emission from a coal-fired CFB power plant with machine learning: Plant data learned by deep neural network and least square support vector machine
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Application of novel hybrid deep leaning model for cleaner production in a paper industrial wastewater treatment system
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NOx emission prediction using a lightweight convolutional neural network for cleaner production in a down-fired boiler
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Deep learning observables in computational fluid dynamics
inferredcites →https://doi.org/10.1016/j.neunet.2014.09.003openalex-extracted
Deep learning in neural networks: An overview
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Recycling strategies of spent V2O5-WO3/TiO2 catalyst: A review
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Enhanced adsorption of gaseous mercury on activated carbon by a novel clean modification method
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Simultaneous oxidation absorption of NO and Hg0 using biomass carbon-activated Oxone system under synergism of high temperature
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Alkali Metal Poisoning and Regeneration of Selective Catalytic Reduction Denitration Catalysts: Recent Advances and Future Perspectives
inferredcites →https://doi.org/10.1080/19942060.2011.11015380openalex-extracted
Numerical Analysis and Prediction of the Velocity Field in Curved Open Channel Using Artificial Neural Network and Genetic Algorithm
inferredcites →https://doi.org/10.1109/72.712178openalex-extracted
Artificial neural networks for solving ordinary and partial differential equations
inferredcites →https://doi.org/10.1109/tmi.2016.2528162openalex-extracted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
inferredcites →https://doi.org/10.1109/tnnls.2020.2995800openalex-extracted
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey
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A robotic platform for flow synthesis of organic compounds informed by AI planning
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Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
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Utilization of artificial neural networks to resolve chemical kinetics in turbulent fine structures of an advanced CFD combustion model
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Artificial Intelligence for Computer-Aided Synthesis In Flow: Analysis and Selection of Reaction Components
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Accelerating Eulerian Fluid Simulation With Convolutional Networks
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Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data
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