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Academic Articles & Research Papers
Showing 20 of 46 academic articles
YU Yongtao, SUN Ao, LI Ang, ZHU Linlin • Jisuanji gongcheng
(2025)
In industrial surface Quality Control (QC) scenarios, deep classification neural networks are widely used to classify product images for qualified judgment or quality grading. However, surface QC equipment equipped with deep classification ...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0068395
Aly M. El-naggar • Alexandria Engineering Journal
(2018)
Lately, with progresses in remote sensing information techniques and the growingly and unprecedented uses of its uses, remote sensing became a science that cannot be dispensed with in most fields and ground object extraction has turned out ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.aej.2018.10.001
A Madinu Abd Malik, Jouhary Naufal Amir, Ulfa Aulia, Rahmadhanti Intan Nur et al. • BIO Web of Conferences
(2024)
This study aims to better understand the coastal dynamics along the 6.89 km of Subang shoreline using Landsat data and GIS methods with cloud computing-based analysis. The data is processed using remote sensing techniques, image classificat...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/bioconf/202410604005
ZHOU Zhi-lu, ZHANG Dong-fei, CHEN Jie-min, WANG Ya-hui et al. • Fayixue Zazhi
(2024)
ObjectiveTo investigate the value of wrist MRI in bone age estimation for male adolescents in Shanghai, Zhejiang and Jiangsu.MethodsA total of 124 Han male adolescents aged 6.0 to 18.0 years from Shanghai, Zhejiang and Jiangsu were selected...
DOAJ
Open Access (DOAJ)
DOI: 10.12116/j.issn.1004-5619.2023.231203
Vishwanath C Burkapalli, Priyadarshini C Patil • ICTACT Journal on Image and Video Processing
(2020)
Deep-learning approach has become more popular in the field of image processing. When it is concerned with health issues, there are lots of improvements in the applications of food image classification by deep learning methods. Transfer lea...
DOAJ
Open Access (DOAJ)
DOI: 10.21917/ijivp.2020.0321
Hinako Asaoka, Kazue Kudo • Scientific Reports
(2023)
Abstract Classical computing has borne witness to the development of machine learning. The integration of quantum technology into this mix will lead to unimaginable benefits and be regarded as a giant leap forward in mankind’s ability to co...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-023-43729-z
Frederik F. Flöther • Research Directions Quantum Technologies
(2023)
Abstract Quantum computing hardware and software have made enormous strides over the last years1. Questions around quantum computing’s impact on research and society have changed from “if” to “when/how”. The 2020s have been described as the...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1017/qut.2023.4
Mikhail Yurochkin, Mayank Agarwal, Ghosh, Soumya, Kristjan H. Greenewald et al. • arXiv (Cornell University)
(2019)
In federated learning problems, data is scattered across different servers and exchanging or pooling it is often impractical or prohibited. We develop a Bayesian nonparametric framework for federated learning with neural networks. Each data...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1905.12022
Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele et al. • arXiv (Cornell University)
(2018)
In recent years, deep neural networks have revolutionized many application domains of machine learning and are key components of many critical decision or predictive processes. Therefore, it is crucial that domain specialists can understand...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1808.04260
Saad Albawi, Tareq Abed Mohammed, Saad Al-Azawi (2017)
The term Deep Learning or Deep Neural Network refers to Artificial Neural Networks (ANN) with multi layers. Over the last few decades, it has been considered to be one of the most powerful tools, and has become very popular in the literatur...
OPENALEX
DOI: https://doi.org/10.1109/icengtechnol.2017.8308186
Pratikkumar Chauhan, Munindra Lunagaria, Deepak Kumar Verma, Krunal Vaghela et al. • IEEE Access
(2024)
Classification of brain tumour is critical in medical image analysis and diagnosis as it aids in determining the affinity of cases to select treatment paths. This feature underscores the importance of accurate classification of brain tumour...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3460380
Yumin Zhang, Yanyong Wang • EURASIP Journal on Image and Video Processing
(2025)
Abstract Due to the rapid advances in computer vision and deep learning, human action recognition has become one of the most important representative tasks for video understanding. Especially for human action recognition based on RGB-D data...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13640-025-00677-0
Mrs. Arjoo Pandey • International Journal for Research in Applied Science and Engineering Technology
(2023)
Abstract: Computer vision is a field of artificial intelligence that focuses on enabling computers to understand and interpret visual information from images or videos. It involves developing algorithms and techniques to extract meaningful ...
OPENALEX
Open Access
DOI: https://doi.org/10.22214/ijraset.2023.54701
Donald Shenaj, Giulia Rizzoli, Pietro Zanuttigh • IEEE Access
(2023)
Federated Learning (FL) has recently emerged as a novel machine learning paradigm allowing to preserve privacy and to account for the distributed nature of the learning process in many real-world settings. Computer vision tasks deal with hu...
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cc-by-nc-nd
DOI: https://doi.org/10.1109/access.2023.3310400
Neofytos Dimitriou, Ognjen Arandjelović • Information
(2022)
Normalization as a layer within neural networks has over the years demonstrated its effectiveness in neural network optimization across a wide range of different tasks, with one of the most successful approaches being that of batch normaliz...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info13070337
Xin Feng, Youni Jiang, Xuejiao Yang, Ming Du et al. • Integration
(2019)
The field of computer vision is experiencing a great-leap-forward development today. This paper aims at providing a comprehensive survey of the recent progress on computer vision algorithms and their corresponding hardware implementations. ...
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cc-by
DOI: https://doi.org/10.1016/j.vlsi.2019.07.005
Txomin Hermosilla • ELCVIA Electronic Letters on Computer Vision and Image Analysis
(2014)
Urban areas areimportant environments, accounting for approximately half the population of theworld. Cities attract residents partly because they offer ample opportunitiesfor development, which often results in urban sprawl and its complex ...
DOAJ
Open Access (DOAJ)
DOI: 10.5565/rev/elcvia.584
Paulo Monteiro de Carvalho Monson, Vinicius Augusto Dare de Almeida, Gabriel Augusto David, Pedro Oliveira Conceição Junior et al. • Engineering Proceedings
(2024)
Computer vision applications demand a significant amount of data for effective training and inference in many computer vision tasks. However, data insufficiency situations usually happen due to multiple reasons, resulting in computational m...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/ecsa-11-20476
Dan Wu, Yanzhi Wang, Yuqi Fei, Guowang Gao • IEEE Access
(2025)
Model size and inference speed have brought about major challenges for the deployment of Convolutional Neural Networks (CNNs) in many applications. An effective approach to address this issue is model quantization, which achieves network co...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3551802
Zhouyi Wang, Changcheng Wang • Applied Sciences
(2025)
Super-resolution reconstruction is a critical task in remote sensing image classification, and generative adversarial networks (GANs) have emerged as a dominant approach in this field. Traditional generative networks often produce low-quali...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15031179