Convolutional neural network cnn

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Development and Comparison of Two Novel Hybrid Neural Network Models for Hourly Solar Radiation Prediction

Applied Sciences, 2022
There are a lot of developing countries with inadequate meteorological stations to measure solar radiation. This has been a major drawback for solar power applications in these countries as the performance of the solar-powered system cannot be accurately
Mustapha Mukhtar +6 more
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A finite element-convolutional neural network model (FE-CNN) for stress field analysis around arbitrary inclusions

, 2023
This study presents a data-driven finite element-machine learning surrogate model for predicting the end-to-end full-field stress distribution and stress concentration around an arbitrary-shaped inclusion.
Rezasefat, Mohammad, Hogan, James D.
core +1 more source

Convolutional Neural Network (CNN): A comprehensive overview

International Journal of Multidisciplinary Research and Growth Evaluation, 2022
Convolutional neural network (CNN), a class of artificial neural network (ANN) is attracting interests of researchers in all research domain. CNN was invented for computer vision. They have also shown to be useful for semantic parsing, sentence modeling and other natural language processing related tasks. Here in this paper we discuss the basics of CNN
openaire +1 more source

A-CNN: Annularly Convolutional Neural Networks on Point Clouds [PDF]

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Analyzing the geometric and semantic properties of 3D point clouds through the deep networks is still challenging due to the irregularity and sparsity of samplings of their geometric structures. This paper presents a new method to define and compute convolution directly on 3D point clouds by the proposed annular convolution.
Artem Komarichev, Zichun Zhong, Jing Hua 0001 +2 more
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Controlled Cooling Temperature Prediction of Hot-Rolled Steel Plate Based on Multi-Scale Convolutional Neural Network

Metals, 2022
Controlled cooling technology is widely used in hot-rolled steel plate production lines. The final cooling temperature directly affects the microstructure and properties of steel plates, but cooling and heat transfer constitutes a nonlinear process ...
Xiao Hu, Daheng Zhang, Ruijun Tan, Qian Xie +3 more
doaj +1 more source

Histopathological Breast-Image Classification Using Local and Frequency Domains by Convolutional Neural Network

Information, 2018
Identification of the malignancy of tissues from Histopathological images has always been an issue of concern to doctors and radiologists. This task is time-consuming, tedious and moreover very challenging.
Abdullah-Al Nahid, Yinan Kong
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MostafaNabieh/Convolutional-Neural-Network-CNN: CNN Project

, 2020
Cnn project by Tensorflow ...
Mostafa Nabieh, Mostafa Nabieh (8597619)
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Inference time for each Convolutional Neural Network (CNN) model.

, 2022
Inference time for each Convolutional Neural Network (CNN) model.
Min-Chang Jang (12133336) +8 more
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Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model

, 2022
Optimal utilisation of the sun's freely available energy to generate electricity requires efficient predictive models of global solar radiation (GSR). These are necessary to provide solar energy companies an early and effective market entry to support ...
Sujan Ghimire +9 more
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RL-CNN: Reinforcement Learning-designed Convolutional Neural Network for Urban Traffic Flow Estimation

, 2021
Accurate prediction of urban traffic flows brings enormous advantages to big cities. Therefore, many urban traffic flow predictors have been developed in recent years.
Susana Sargento +9 more
core +1 more source

convolutional neural network
deep learning
cnn