Review of deep convolution neural network in image classification

QR Code

Review of deep convolution neural network in image classification

With the development of large data age, Convolutional neural networks (CNNs) with more hidden layers have more complex network structure and more powerful feature learning and feature expression abilities than traditional machine learning methods. The convolution neural network model trained by the...

Full description

Bibliographic Details
Main Authors:	Al-Saffar, Ahmed Ali Mohammed, Tao, Hai, Mohammed, Ahmed Talab
Format:	Article
Language:	English
Published:	IEEE 2017
Subjects:	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/25484/ http://umpir.ump.edu.my/id/eprint/25484/1/UMP%20IR%202%20MOHAMMED.PCC15015.FSKKP.pdf

Similar Items

Review on Deep Learning-Based Face Analysis
by: Talab, Mohammed Ahmed, et al.
Published: (2018)

Image Splicing Detection With Constrained Convolutional Neural Network
by: Lee, Yang Yang
Published: (2019)

Investigation And Development Of Convolutional Neural Network Based Image Splicing Detection
by: Md Hasim, Siti Mastura
Published: (2017)

Deep learning faster region-based convolutional neural network technique for oil palm tree counting
by: Xinni, Liu, et al.
Published: (2020)

Investigation And Development Of Convolutional Neural Network Based Image Splicing Detection
by: Hasim, Siti Mastura Binti Md
Published: (2017)

Multiple convolutional neural network training for Bangla handwritten numeral recognition
by: Akhand, M. A. H, et al.
Published: (2016)

Super-low resolution face recognition using integrated Efficient Sub-Pixel Convolutional Neural Network (ESPCN) and Convolutional Neural Network (CNN)
by: Talab, Mohammed Ahmed, et al.
Published: (2019)

Bangla handwritten numeral recognition using convolutional neural network
by: Akhand, M. A. H, et al.
Published: (2015)

Bangla handwritten character recognition using convolutional neural network
by: Rahman, Md. Mahbubar, et al.
Published: (2015)

Bleeding classification of enhanced wireless capsule endoscopy images using deep convolutional neural network
by: Rosdiana, Shahril, et al.
Published: (2020)

An attention-augmented convolutional neural network with focal loss for mixed-type wafer defect classification
by: Batool, Uzma, et al.
Published: (2023)

An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network
by: Al-Batah, Mohammad Subhi Mohammad
Published: (2009)

Using convolution neural networks for improving customer requirements classification performance of autonomous vehicle
by: Hao, Wang, et al.

Iris recognition using convolutional neural network / Zhuang Yuan
by: Zhuang, Yuan
Published: (2018)

Fish species recognition using convolutional neural network / Tan Ying Ying
by: Tan, Ying Ying
Published: (2018)

Oil palm unstripped bunch detector using modified faster regional convolutional neural network
by: Wahyu, Sapto Aji, et al.
Published: (2022)

Defect And Components Recognition In Printed Circuit Boards Using Convolution Neural Network
by: Cheong, Leong Kean
Published: (2018)

Analyzing the resilience of convolutional neural networks implemented on GPUs: Alexnet as a case study
by: Khalid Adam, Ismail Hammad, et al.
Published: (2021)

A sequential handwriting recognition model based on a dynamically configurable convolution recurrent neural network and hybrid salp swarm algorithm
by: Ahmed Ali Mohammed, Al-saffar
Published: (2024)

Neural network paradigm for classification of defects on PCB
by: Heriansyah, Rudi, et al.
Published: (2003)

Analyzing the reliability of convolutional neural networks on GPUs : GoogLeNet as a case study
by: Ibrahim, Younis Mohammed, et al.
Published: (2020)

Universiti malaysia pahang autonomous shuttle Development : Lane classiﬁcation analysis using convolutional neural network (CNN)
by: Yee, Lee Yin, et al.
Published: (2022)

Face recognition using the convolutional neural network for barrier gate system
by: Mochammad Langgeng, Prasetyo, et al.
Published: (2021)

Universiti Malaysia Pahang autonomous shuttle development : Lane classification analysis using Convolutional Neural Network (CNN)
by: Yee, Lee Yin, et al.
Published: (2022)

Integrated Generative Adversarial Networks and Deep Convolutional Neural Networks for Image Data Classification A Case Study for COVID-19
by: Ku Muhammad Naim, Ku Khalif, et al.
Published: (2024)

Intelligent motion planning of a mobile robot by using convolutional neural network / Siti Asmah Abdullah
by: Siti Asmah, Abdullah
Published: (2019)

Deep learning-based classification model for botnet attack detection
by: Ahmed, Abdulghani Ali, et al.
Published: (2020)

Analysis of convolutional neural networks for facial expression recognition on GPU, TPU and CPU
by: Anbananthan Pillai, Munanday, et al.
Published: (2023)

Application Of Neural Network In Malaria Parasites Classification
by: Lim, Chia Li
Published: (2006)

Mammogram breast mass classification using deep convolutional neural network / Mohd Nafie Maslan
by: Mohd Nafie, Maslan
Published: (2022)

Classification of corals in reflectance and fluorescence images using convolutional neural network representations
by: Xu, L., et al.
Published: (2018)

Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks
by: F. M., Mohammed
Published: (2014)

A review of Convolutional Neural Networks in Remote Sensing Image
by: Liu, Xinni, et al.
Published: (2019)

Classification of control measures for asthma using artificial neural network
by: N.H.H.M., Hanif, et al.
Published: (2009)

Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects
by: Zuwairie, Ibrahim, et al.
Published: (2014)

Enhanced faster region-based convolutional neural network for oil palm tree detection
by: Liu, Xinni
Published: (2021)

Transfer learning and hybrid deep convolutional neural networks models for autism spectrum disorder classification from EEG signals
by: Al-Qazzaz, Noor Kamal, et al.
Published: (2024)

An enhanced classification of bacteria pathogen on microscopy images using deep learning
by: Son Ali, Akbar, et al.
Published: (2021)

A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption
by: Nurnajmin Qasrina Ann, Ayop Azmi
Published: (2023)

CS-based lung covid-affected x-ray image disorders classification using convolutional neural network
by: Triasari, Biyantika Emili, et al.
Published: (2024)