Zobrazeno 1 - 10
of 1 140
pro vyhledávání: '"fully convolutional networks"'
Publikováno v:
Ecological Indicators, Vol 167, Iss , Pp 112697- (2024)
Estimating forest stand carbon stock (SCS) is crucial for forest management and achieving carbon neutrality. However, traditional forest surveys are time-consuming, laborious and may posing the additional risk of harming the forest habitats. Remote s
Externí odkaz:
https://doaj.org/article/216be5c154aa430fb9be0d49ec195cf1
Autor:
Ching-Lung Fan
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e38104- (2024)
Significant strides in deep learning for image recognition have expanded the potential of visual data in assessing damage to reinforced concrete (RC) structures. Our study proposes an automated technique, merging convolutional neural networks (CNNs)
Externí odkaz:
https://doaj.org/article/5967a927d03a4e95a29f6667d47a4283
Autor:
Áttila Leães Rodrigues, Fernanda Gontijo Fernandes Niquini, Sandro Pinzon, João Felipe Coimbra Leite Costa
Publikováno v:
REM: International Engineering Journal, Vol 77, Iss 3 (2024)
Abstract In the past decade, machine learning techniques were responsible for a revolution in classification and regression tasks, making it possible to automate some laborious activities, saving time and reducing errors. It is known that the geologi
Externí odkaz:
https://doaj.org/article/2573d668691f4b0e898fbd50058aaa0a
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 2753-2767 (2024)
Medical image segmentation has an important application value in the modern medical field, it can help doctors accurately locate and analyze the tissue structure, lesion areas, and organ boundaries in the image, which provides key information support
Externí odkaz:
https://doaj.org/article/c02a1bd9f06f41bdb61cbd94b5ea9dd4
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 18, Iss 6, Pp 197-207 (2023)
ObjectivesThe springback is the main factor affecting the forming quality of hull plates in the cold forming process. To improve the forming quality, it is necessary to investigate springback prediction, obtain the appropriate springback control meth
Externí odkaz:
https://doaj.org/article/be5731236c174131aadeffc247012d63
Publikováno v:
International Journal of Information Management Data Insights, Vol 4, Iss 1, Pp 100216- (2024)
Depth estimation is one of the crucial tasks for autonomous systems, which provides important information about the distance between the system and its surroundings. Traditionally, Light Detection and Ranging and stereo cameras have been used for dis
Externí odkaz:
https://doaj.org/article/8aae43a96fc64cec9edfefd67318a327
Autor:
Italo Francyles Santos da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass, António Manuel Cunha
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7352 (2024)
Magnetic resonance imaging (MRI) is a non-invasive technique used in cardiac diagnosis. Using it, specialists can measure the masses and volumes of the right ventricle (RV), left ventricular cavity (LVC), and myocardium (MYO). Segmenting these struct
Externí odkaz:
https://doaj.org/article/37e36707c502468cbe7b16c2a677a831
Publikováno v:
Atmosphere, Vol 15, Iss 8, p 873 (2024)
We present a novel deep learning approach to a unique image processing application: high-speed (>1000 fps) video footage of lightning. High-speed cameras enable us to observe lightning with microsecond resolution, characterizing key processes previou
Externí odkaz:
https://doaj.org/article/29fbc0df7dd54485b0e137b0bcb5afa6
Autor:
Yana dos Santos Pereira, Davi Guimarães da Silva, Regina Cely Barroso, Anderson Alvarenga de Moura Meneses
Publikováno v:
Latin-American Journal of Computing, Vol 10, Iss 2, Pp 84-95 (2023)
Image segmentation is one of the main resources in computer vision. Nowadays, this procedure can be made with high precision using Deep Learning, and this fact is important to applications of several research areas including medical image analysis. I
Externí odkaz:
https://doaj.org/article/87f0c61a728f4624b48153375e8ec7cb
Autor:
Ioanna Miliaresi, Aggelos Pikrakis
Publikováno v:
IEEE Access, Vol 11, Pp 80465-80478 (2023)
The development of methods that combine different sources of information for medical diagnosis is an essential challenge in the field of medical informatics. In this context, we introduce a machine-learning framework for automatic voice pathology cla
Externí odkaz:
https://doaj.org/article/24dda841371c469894dfaabca8944a8f