Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Sabah Jassim"'
Autor:
Jehan Ghafuri, Sabah Jassim
Publikováno v:
Entropy, Vol 26, Iss 8, p 701 (2024)
This paper is motivated by the need to stabilise the impact of deep learning (DL) training for medical image analysis on the conditioning of convolution filters in relation to model overfitting and robustness. We present a simple strategy to reduce s
Externí odkaz:
https://doaj.org/article/f6b161dc48a34a5ea8741c4b603dcdca
Publikováno v:
مجلة الآداب, Vol 2, Iss 132 (2020)
إن الملاحم والاساطير في جميع حضارات الشرق وكل الإلهة العالم السفلي وتسلطها والتي هي اصلا الإلهة شمسيه لها دورها في حفظ التوازن بين العال
Externí odkaz:
https://doaj.org/article/868d37d8c2b5401cb403cf107aef32a3
Autor:
José Martínez-Más, Andrés Bueno-Crespo, Shan Khazendar, Manuel Remezal-Solano, Juan-Pedro Martínez-Cendán, Sabah Jassim, Hongbo Du, Hisham Al Assam, Tom Bourne, Dirk Timmerman
Publikováno v:
PLoS ONE, Vol 14, Iss 7, p e0219388 (2019)
IntroductionOvarian tumors are the most common diagnostic challenge for gynecologists and ultrasound examination has become the main technique for assessment of ovarian pathology and for preoperative distinction between malignant and benign ovarian t
Externí odkaz:
https://doaj.org/article/de4c3fdba1fb4805b269b0ca370b7ae9
Publikováno v:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 5, Iss 16 (2018)
Gaussian Bayes classifiers are widely used in machine learning for various purposes. Its special characteristic has provided a great capacity for estimating the likelihood and reliability of individual classification decision made, which has been use
Externí odkaz:
https://doaj.org/article/d363289982d944479d708e6d09fd1818
Publikováno v:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 5, Iss 16 (2018)
Inpainting techniques are developed to recover missing image information. Existing inpainting approaches are: Partial Differential Equations Based Inpainting (PDE-BI) and Exemplar-Based Inpainting (EBI). PDE-BI methods used to fill in the missing inf
Externí odkaz:
https://doaj.org/article/edc6f2aaaa2b4c81829c38255b3b76ff
Publikováno v:
Biomedicine. 43:317-322
Introduction and Aim: Breast cancer is responsible for more deaths in women than all other types of cancer combined, and it is also responsible for thirty percent of all new cancer diagnoses. FOXP3 is the key transcription factor necessary for the de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5428ffe296effb85259007bc4f119b4
https://doi.org/10.51248/.v43i01.2531
https://doi.org/10.51248/.v43i01.2531
Autor:
Tabarak Sabah Jassim, Rusul Waleed Ali
Publikováno v:
Journal for Research in Applied Sciences and Biotechnology. 1:161-178
Single nucleotides polymorphism is the biological variant that affects people the most frequently (SNPs). Due of the link to hereditary illnesses, Polymorphisms are significant for hereditary investigations. Throughout this article, researchers exami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03781a8f92b9ba96cc5526dfe9d43924
https://doi.org/10.55544/jrasb.1.5.17
https://doi.org/10.55544/jrasb.1.5.17
Autor:
Sherin Sabah Jassim, Alaa Abbas Mahdi
Publikováno v:
Heat Transfer. 52:2207-2230
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36c334133b42c9eeea8b09b38e86511f
https://doi.org/10.1002/htj.22781
https://doi.org/10.1002/htj.22781
Brucella melitensis is a gram-negative coccobacillus that causes brucellosis in humans when they come into contact with infected animal meat or consumed raw milk. The lack of effective treatment and increasing antibiotic resistant patterns shown by B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a69842870b2cf0a1df5cfd712d0f1e42
https://doi.org/10.21203/rs.3.rs-2727459/v1
https://doi.org/10.21203/rs.3.rs-2727459/v1
Autor:
Hisham Al-Assam, Sabah Jassim, Tom Bourne, Hongbo Du, Dirk Timmerman, Dhurgham Al-karawi, Chiara Landolfo, Ahmad Sayasneh
Publikováno v:
Ultrasonic Imaging. 43:124-138
Significant successes in machine learning approaches to image analysis for various applications have energized strong interest in automated diagnostic support systems for medical images. The evolving in-depth understanding of the way carcinogenesis c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::702dbdfa444ee289f8f4ae9b396518a4
https://doi.org/10.1177/0161734621998091
https://doi.org/10.1177/0161734621998091