A Novel Point Cloud Deep Learning Method for Predicting Variable Airfoil Flow Fields Abstract: Airfoil flow field is of great significance to the design optimization of aircraft shape. Convolutional ...

Keywords: urban traffic construction, traffic flow analysis, deep learning, graph, prediction model. Citation: Yao B, Ma A, Feng R, Shen X, Zhang M and Yao Y (2022) A Deep Learning Framework About ...

High-level penetration of intermittent renewable energy sources (RESs) has introduced significant uncertainties into modern power systems. In order to rapidly and economically respond to the ...

3. Solving Mean-Field Control Problems Using Deep Learning Techniques. Due to the non-Markovian structure, the above mean-field optimal control problem (2.3 and 2.4) is difficult to solve either ...

This repository contains the benchmark dataset and code for the paper "FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry" accepted at CHIL@2024, ...