Results 11 to 20 of about 288,791 (262)

Image classification of intelligent farm based on convolutional neural network

Dianzi Jishu Yingyong, 2023
In order to solve the problem of perception and no decision-making in the agricultural modernization of Xinjiang Corps, an image classification method (TL-DA-SE-CNN) based on attention mechanism module (SENet) and convolutional neural network hybrid ...
Yang Yibin, Wang Junqiang, Chai Shihao
doaj   +1 more source

Research on Hierarchical Decomposition of Convolutional Neural Network [PDF]

Jisuanji gongcheng, 2019
With the continuous development of deep learning,Convolutional Neural Network(CNN) have received extensive attention from researchers in target detection and image classification.CNN have evolved from LeNet-5 networks to deep residual networks,and the ...
KE Yan, LIN Xiaozhu, LIAO Rui, WEI Zhanhong
doaj   +1 more source

Detecting Distracted Driving with Deep Learning [PDF]

, 2017
© Springer International Publishing AG 2017Driver distraction is the leading factor in most car crashes and near-crashes. This paper discusses the types, causes and impacts of distracted driving.
A Nabo, D Haigney, D Haigney, D Line, GA Peters, I Hajime, J Jo, J Pohl, JC Stutts, M Baumann   +9 more
core   +2 more sources

Emotion Recognition Using Convolutional Neural Network (CNN)

Journal of Physics: Conference Series, 2021
Abstract Emotion is an expression that human use in expressing their feelings. It can be express through facial expression, body language and voice tone. Humans’ facial expression is a major way in conveying emotion since it is the most powerful, natural and universal signal to express humans’ emotion condition.
Nur Alia Syahirah Badrulhisham, Nur Nabilah Abu Mangshor   +1 more
openaire   +1 more source

Simulation research on UAV recognition method based on convolutional neural network

Journal of Hebei University of Science and Technology, 2019
In order to improve the accuracy of identifying the target image while the drone is sailing, a hybrid model combining convolutional neural network (CNN) and probabilistic neural network (PNN) is proposed.
Ran ZHEN, Jiaxing YU, Guohua ZHAO, Xueli WU   +3 more
doaj   +1 more source

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, Ariyo Oluwasanmi, Nasser Yimen, Zhang Qinxiu, Chiagoziem C. Ukwuoma, Benjamin Ezurike, Olusola Bamisile   +6 more
doaj   +1 more source

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
doaj   +1 more source

Deep Learning: Basics and Convolutional Neural Networks (CNNs)

, 2023
AbstractDeep learning belongs to the broader family of machine learning methods and currently provides state-of-the-art performance in a variety of fields, including medical applications. Deep learning architectures can be categorized into different groups depending on their components.
Vakalopoulou, Maria, Christodoulidis, Stergios, Burgos, Ninon, Colliot, Olivier, Lepetit, Vincent   +4 more
openaire   +2 more sources

Effect of neural network structure in accelerating performance and accuracy of a convolutional neural network with GPU/TPU for image analytics [PDF]

PeerJ Computer Science, 2022
Background In deep learning the most significant breakthrough in the field of image recognition, object detection language processing was done by Convolutional Neural Network (CNN).
Aswathy Ravikumar, Harini Sriraman, P. Maruthi Sai Saketh, Saddikuti Lokesh, Abhiram Karanam   +4 more
doaj   +2 more sources