Zobrazeno 1 - 10
of 605
pro vyhledávání: '"gray level co-occurrence matrix (glcm)"'
Publikováno v:
BioMedInformatics, Vol 4, Iss 2, Pp 1202-1224 (2024)
Mammogram exam images are useful in identifying diseases, such as breast cancer, which is one of the deadliest cancers, affecting adult women around the world. Computational image analysis and machine learning techniques can help experts identify abn
Externí odkaz:
https://doaj.org/article/aa2c23d0015e4feb87a0900c844b0461
Autor:
Sateesh Amarneni, Dr. R.S. Valarmathi
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 9, Iss , Pp 100723- (2024)
According to the World Health Organization, cancer is the second most common cause of death worldwide (WHO). Death from cancer may sometimes be avoided through early diagnosis, although this is not always practicable. A tumour, unlike cancer, may be
Externí odkaz:
https://doaj.org/article/621933059d1d417d95ebebdb78445aca
Publikováno v:
Ecological Indicators, Vol 162, Iss , Pp 112002- (2024)
Landscape temporal dynamics are a crucial concern in ecology to understand current biodiversity. But historical environmental data are often not easily available. This study assesses for the first time the potential of historical orthophotographs to
Externí odkaz:
https://doaj.org/article/2d210c81474643d8b2b0ec9e7616d2fb
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10006-10012 (2024)
Typhoon Hagibis (No. 19, in Japan) made landfall in Koriyama City in Fukushima Prefecture, Japan, on October 13, 2019. The consequent floods damaged built-up areas in the city center. Furthermore, rice production was affected because the flood occurr
Externí odkaz:
https://doaj.org/article/49511aaa80aa4ab0a7b75a9799277abc
Autor:
Jiaxiang Zhai, Nan Wang, Bifeng Hu, Jianwen Han, Chunhui Feng, Jie Peng, Defang Luo, Zhou Shi
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3671 (2024)
Texture features have been consistently overlooked in digital soil mapping, especially in soil salinization mapping. This study aims to clarify how to leverage texture information for monitoring soil salinization through remote sensing techniques. We
Externí odkaz:
https://doaj.org/article/f6cc3b24cc20414f9480d0011d126396
Publikováno v:
Shipin yu jixie, Vol 39, Iss 7, Pp 111-118 (2023)
Objective: To solve the problems caused by the manual sampling inspection in the field of food packaging, such as difficult to operate continuously for a long time, easy to miss and wrong detection, and unreliable detection accuracy and stability. Me
Externí odkaz:
https://doaj.org/article/e25607c2621c4a86acb917b8c296cc6a
Publikováno v:
Measurement: Sensors, Vol 31, Iss , Pp 101026- (2024)
The development of aberrant brain cells, some of which may become cancerous, is known as a brain tumour. The quality of life and life expectancy of patients are enhanced by early and timely illness identification and treatment plans. Magnetic Resonan
Externí odkaz:
https://doaj.org/article/e00f2f5dc9ab4f38bca60de2127a2d88
Publikováno v:
Applied System Innovation, Vol 7, Iss 3, p 49 (2024)
This research aims to examine the use of image processing and texture analysis to find a more reliable and efficient solution for identifying and classifying types of meat, based on their texture. The method used involves the use of feature extractio
Externí odkaz:
https://doaj.org/article/135290bd30394b77b79b2af7839b98eb
Autor:
Krzysztof Przybył
Publikováno v:
Sensors, Vol 24, Iss 10, p 3198 (2024)
Recently, explainability in machine and deep learning has become an important area in the field of research as well as interest, both due to the increasing use of artificial intelligence (AI) methods and understanding of the decisions made by models.
Externí odkaz:
https://doaj.org/article/3195c5076e3449d9b0cc0371c11055dd
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 1, Pp 449-461 (2023)
Image forensic analysis becomes a major role in the field of digital image security due to tampering and forgery. The image forgery violates the authenticity and ownership of digital images. Copy-move forgery considers a significant kind of image for
Externí odkaz:
https://doaj.org/article/5d607c863a574b0aa081560e23d83a5e