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17 papers · ranked by Valyu relevance

01
PPubMed31 Mar 2021
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, Ayad Al-Dujaili + 6 more
In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard in the machine learning (ML) community. Moreover, it has gradually become the most widely used computational approach in the field of ML, thus achieving outstanding results on several complex cognitive tasks, matching or…
97relevance
02
PPubMed28 Feb 2020
An Introductory Review of Deep Learning for Prediction Models With Big Data
Frank Emmert-Streib, Zhen Yang, Han Feng, Shailesh Tripathi + 1 more
'Matthias Dehmer'] Deep learning models stand for a new learning paradigm in artificial intelligence (AI) and machine learning. Recent breakthrough results in image analysis and speech recognition have generated a massive interest in this field because also applications in many other domains providing big data seem…
97relevance
03
PPubMed12 Jun 2020
Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN)
Savita Ahlawat, Amit Choudhary, Anand Nayyar, Saurabh Singh + 1 more
'Byungun Yoon'] Traditional systems of handwriting recognition have relied on handcrafted features and a large amount of prior knowledge. Training an Optical character recognition (OCR) system based on these prerequisites is a challenging task. Research in the handwriting recognition field is focused around deep…
97relevance
04
PPubMed11 Dec 2021
Comparative Analysis of Skin Cancer (Benign vs. Malignant) Detection Using Convolutional Neural Networks
Mohammed Rakeibul Hasan, Mohammed Ishraaf Fatemi, Mohammad Monirujjaman Khan, Manjit Kaur + 1 more
'Mohammad Monirujjaman Khan' 'Manjit Kaur' 'Atef Zaguia'] We live in a world where people are suffering from many diseases. Cancer is the most threatening of them all. Among all the variants of cancer, skin cancer is spreading rapidly. It happens because of the abnormal growth of skin cells. The increase in ultraviolet…
92relevance
05
PPubMed22 Oct 2021
A Survey of Computer-Aided Tumor Diagnosis Based on Convolutional Neural Network
Yan Yan, Xu-Jing Yao, Shui-Hua Wang, Yu-Dong Zhang + 1 more
'Jacques Demongeot'] Simple Summary One of the hottest areas in deep learning is computerized tumor diagnosis and treatment. The identification of tumor markers, the outline of tumor growth activity, and the staging of various tumor kinds are frequently included. There are several deep learning models based on…
92relevance
06
PPubMed18 Sep 2023
Using Different Types of Artificial Neural Networks to Classify 2D Matrix Codes and Their Rotations—A Comparative Study
Ladislav Karrach, Elena Pivarčiová, Hocine Cherifi
Artificial neural networks can solve various tasks in computer vision, such as image classification, object detection, and general recognition. Our comparative study deals with four types of artificial neural networks-multilayer perceptrons, probabilistic neural networks, radial basis function neural networks, and…
92relevance
07
PPubMed19 Dec 2023
An improved human activity recognition technique based on convolutional neural network
Ravi Raj, Andrzej Kos
A convolutional neural network (CNN) is an important and widely utilized part of the artificial neural network (ANN) for computer vision, mostly used in the pattern recognition system. The most important applications of CNN are medical image analysis, image classification, object recognition from videos, recommender…
92relevance
08
PPubMed9 Feb 2025
An Extensive Study of Convolutional Neural Networks: Applications in Computer Vision for Improved Robotics Perceptions
Ravi Raj, Andrzej Kos, Stefanos Kollias
Convolutional neural networks (CNNs), a type of artificial neural network (ANN) in the deep learning (DL) domain, have gained popularity in several computer vision applications and are attracting research in other fields, including robotic perception. CNNs are developed to autonomously and effectively acquire spatial…
92relevance
09
PPubMed2 May 2023
Vehicle detection systems for intelligent driving using deep convolutional neural networks
Rahib Abiyev, Murat Arslan
In the paper, a vision-based vehicle identification system is proposed for autonomous intelligent car driving. The accurate detection of obstacles (vehicles) during intelligent car driving allows avoiding crashes, preventing accidents, saving people’s lives and reducing harm. The vehicle detection system, which uses…
91relevance
10
PPubMed17 Oct 2022
Acceleration of Deep Neural Network Training Using Field Programmable Gate Arrays
Guta Tesema Tufa, Fitsum Assamnew Andargie, Anchit Bijalwan
Convolutional neural network (CNN) training often necessitates a considerable amount of computational resources. In recent years, several studies have proposed for CNN inference and training accelerators in which the FPGAs have previously demonstrated good performance and energy efficiency. To speed up the processing…
91relevance
11
PPubMed1 Apr 2021
L2MXception: an improved Xception network for classification of peach diseases
Na Yao, Fuchuan Ni, Ziyan Wang, Jun Luo + 3 more
Background Peach diseases can cause severe yield reduction and decreased quality for peach production. Rapid and accurate detection and identification of peach diseases is of great importance. Deep learning has been applied to detect peach diseases using imaging data. However, peach disease image data is difficult to…
90relevance
12
PPubMed8 Aug 2023
Convolutional Neural Networks to Assess Steno-Occlusive Disease Using Cerebrovascular Reactivity
Yashesh Dasari, James Duffin, Ece Su Sayin, Harrison T. Levine + 7 more
'Julien Poublanc' 'Andrea E. Para' 'David J. Mikulis' 'Joseph A. Fisher' 'Olivia Sobczyk' 'Mir Behrad Khamesee' 'Joaquim Carreras'] Cerebrovascular Reactivity (CVR) is a provocative test used with Blood oxygenation level-dependent (BOLD) Magnetic Resonance Imaging (MRI) studies, where a vasoactive stimulus is applied…
90relevance
13
PPubMed21 Jul 2023
Few-Shot Learning-Based Light-Weight WDCNN Model for Bearing Fault Diagnosis in Siamese Network
Daehwan Lee, Jongpil Jeong, Baoping Cai
In this study, bearing fault diagnosis is performed with a small amount of data through few-shot learning. Recently, a fault diagnosis method based on deep learning has achieved promising results. Most studies required numerous training samples for fault diagnosis. However, at manufacturing sites, it is impossible to…
90relevance
14
PPubMed27 Apr 2021
Hybrid Convolutional Neural Network for Localization of Epileptic Focus Based on iEEG
Linfeng Sui, Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka + 1 more
Epileptic focus localization by analysing intracranial electroencephalogram (iEEG) plays a critical role in successful surgical therapy of resection of the epileptogenic lesion. However, manual analysis and classification of the iEEG signal by clinicians are arduous and time-consuming and excessively depend on the…
89relevance
15
PPubMed27 Nov 2024
Machine vision-based recognition of safety signs in work environments
Jesús-Ángel Román-Gallego, María-Luisa Pérez-Delgado, Miguel A. Conde, Marcos Luengo Viñuela
'Marcos Luengo Viñuela'] The field of image recognition is extensively researched, with applications addressing numerous challenges posed by the scientific community. Notably among these challenges are those related to individual safety. This article presents a system designed for the application of image recognition…
88relevance
16
PPubMed10 Oct 2022
Encoding the Photoreceptors of the Human Eye
Alexander Muacevic, John R Adler, Shreya Roy, Prachi Nagrale
This review aims to assess the anatomy of the human eye with a focus on exploring opportunities to mimic certain functionalities of photoreceptors in the optical system. This can help restore vision issues in people who had normal vision earlier, but their vision was impaired due to reasons that damaged parts of the…
87relevance
17
PPubMed10 May 2022
Image Sensing and Processing with Convolutional Neural Networks
Sonya Coleman, Dermot Kerr, Yunzhou Zhang
Convolutional neural networks are a class of deep neural networks that leverage spatial information, and they are therefore well suited to classifying images for a range of applications. These networks use an ad hoc architecture inspired by our understanding of processing within the visual cortex. Convolutional neural…
87relevance

Results for Convolutional Neural Network

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

An Introductory Review of Deep Learning for Prediction Models With Big Data

Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN)

Comparative Analysis of Skin Cancer (Benign vs. Malignant) Detection Using Convolutional Neural Networks

A Survey of Computer-Aided Tumor Diagnosis Based on Convolutional Neural Network

Using Different Types of Artificial Neural Networks to Classify 2D Matrix Codes and Their Rotations—A Comparative Study

An improved human activity recognition technique based on convolutional neural network

An Extensive Study of Convolutional Neural Networks: Applications in Computer Vision for Improved Robotics Perceptions

Vehicle detection systems for intelligent driving using deep convolutional neural networks

Acceleration of Deep Neural Network Training Using Field Programmable Gate Arrays

L2MXception: an improved Xception network for classification of peach diseases

Convolutional Neural Networks to Assess Steno-Occlusive Disease Using Cerebrovascular Reactivity

Few-Shot Learning-Based Light-Weight WDCNN Model for Bearing Fault Diagnosis in Siamese Network

Hybrid Convolutional Neural Network for Localization of Epileptic Focus Based on iEEG

Machine vision-based recognition of safety signs in work environments

Encoding the Photoreceptors of the Human Eye

Image Sensing and Processing with Convolutional Neural Networks

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

An Introductory Review of Deep Learning for Prediction Models With Big Data

Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN)

Comparative Analysis of Skin Cancer (Benign vs. Malignant) Detection Using Convolutional Neural Networks

A Survey of Computer-Aided Tumor Diagnosis Based on Convolutional Neural Network

Using Different Types of Artificial Neural Networks to Classify 2D Matrix Codes and Their Rotations—A Comparative Study

An improved human activity recognition technique based on convolutional neural network

An Extensive Study of Convolutional Neural Networks: Applications in Computer Vision for Improved Robotics Perceptions

Vehicle detection systems for intelligent driving using deep convolutional neural networks

Acceleration of Deep Neural Network Training Using Field Programmable Gate Arrays

L2MXception: an improved Xception network for classification of peach diseases

Convolutional Neural Networks to Assess Steno-Occlusive Disease Using Cerebrovascular Reactivity

Few-Shot Learning-Based Light-Weight WDCNN Model for Bearing Fault Diagnosis in Siamese Network

Hybrid Convolutional Neural Network for Localization of Epileptic Focus Based on iEEG

Machine vision-based recognition of safety signs in work environments

Encoding the Photoreceptors of the Human Eye

Image Sensing and Processing with Convolutional Neural Networks