Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Amel H. Abbas"'
Publikováno v:
Iraqi Journal for Computers and Informatics, Vol 50, Iss 1, Pp 105-122 (2024)
This study describes a lightweight deep learning model trained on a self-made image dataset taken inside farms and open areas of the Holy Shrine of Al-Hussainiya in the City of Karbala, Iraq. This dataset includes fire and smoke images taken using a
Externí odkaz:
https://doaj.org/article/d6e33ed03c054d2fbb28730740dab98f
Publikováno v:
Al-Mustansiriyah Journal of Science, Vol 32, Iss 5, Pp 1-4 (2021)
The proposed method is based on classifying 15 types of plant leaf disease. Hue saturation value was used to delete the background and the healthy areas to show only the affected area in the image. Texture analyses adopted in image features extractio
Externí odkaz:
https://doaj.org/article/b018ed99781042e18f523ff36a5d9c96
Autor:
mohammed hussein, Amel H. Abbas
Publikováno v:
Al-Mustansiriyah Journal of Science, Vol 30, Iss 1, Pp 105-110 (2019)
Abstract Agriculture has special importance in that it is a major source of food and clothing and is an important economic source for countries. Agriculture is affected by a variety of factors, biotic such as diseases resulting from bacteria, fungi,
Externí odkaz:
https://doaj.org/article/dc62456c9836443bb183075a6d3e7054
Autor:
Amel H. Abbas, Marwa A. Shamel
Publikováno v:
Kurdistan Journal of Applied Research, Vol 2, Iss 3, Pp 1-6 (2017)
The Prunus_armeniaca fruit is classified manually in wholesale markets, supermarkets and food processing plants on a normal or defects basis. The aim of this research is to replace the manual sorting techniques using computer vision techniques and ap
Externí odkaz:
https://doaj.org/article/1ccdc34a6037435a84534c3ddd56357d
Autor:
Mohammed A. Hussein, Amel H. Abbas
Publikováno v:
Ibn Al-Haitham Journal for Pure and Applied Sciences, Vol 2017, Iss IHSCICONF (2018)
The detection of diseases affecting plant is very important as it relates to the issue of food security, which is a very serious threat to human life. The system of diagnosis of diseases involves a series of steps starting with the acquisition of ima
Externí odkaz:
https://doaj.org/article/6913d6132b7d4e2fa8594673f78ff845
Autor:
Basim K.M.A. Al-windi, Amel H. Abbas
Publikováno v:
Materials Today: Proceedings. 80:3161-3166
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0fa33e467a9339eb82f13be958df8e6
https://doi.org/10.1016/j.matpr.2021.07.183
https://doi.org/10.1016/j.matpr.2021.07.183
Publikováno v:
Materials Today: Proceedings. 80:3346-3350
New method for Detection wheat stem rust disease using Image processing methods, Converting RGB image To Hue Saturation Value then setting HSV parameters for background deleting. Texture analyses used for feature extractions. Feature selections where
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26ca7443f29841326450caef57c2c43a
https://doi.org/10.1016/j.matpr.2021.07.251
https://doi.org/10.1016/j.matpr.2021.07.251
Publikováno v:
Iraqi Journal of Science. :2408-2417
The detection of diseases affecting wheat is very important as it relates to the issue of food security, which poses a serious threat to human life. Recently, farmers have heavily relied on modern systems and techniques for the control of the vast ag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c4562ea4f6bae98565cbb0046cd4b4f
https://doi.org/10.24996/ijs.2020.61.9.27
https://doi.org/10.24996/ijs.2020.61.9.27
Autor:
Zaid T. Omer, Amel H. Abbas
Publikováno v:
Micro-Electronics and Telecommunication Engineering ISBN: 9789811687204
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95eb0875649714ac589c6090c961e03b
https://doi.org/10.1007/978-981-16-8721-1_36
https://doi.org/10.1007/978-981-16-8721-1_36
Publikováno v:
TELKOMNIKA (Telecommunication Computing Electronics and Control). 20:1288
Strabismus is one of the widespread vision disorders in which the eyes are misaligned and asymmetric. Convolutional neural networks (CNNs) are properly designed for analyzing images and detecting texture patterns. In this paper, we proposed a system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52d92231f4010f04f0d8330f0f2e5800
https://doi.org/10.12928/telkomnika.v20i6.24232
https://doi.org/10.12928/telkomnika.v20i6.24232