Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Omran Salih"'
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e19685- (2023)
In light of the technological advancements that require faster data speeds, there has been an increasing demand for higher frequency bands. Consequently, numerous path loss prediction models have been developed for 5G and beyond communication network
Externí odkaz:
https://doaj.org/article/cb1d48edc621494c9e754d6c8bdb99f7
Autor:
Omran Salih, Kevin Jan Duffy
Publikováno v:
IET Image Processing, Vol 16, Iss 6, Pp 1520-1530 (2022)
Abstract Recent advances in medical imaging analyses, especially the use of deep learning, are helping to identify, detect, classify, and quantify patterns in radiographs. At the centre of these advances is the ability to explore hierarchical feature
Externí odkaz:
https://doaj.org/article/7c49d36b53e944a58fb8dea9db850b97
Publikováno v:
IEEE Access, Vol 10, Pp 91840-91854 (2022)
The recent advancement and enhancement that optimized uncoded space-time labelling diversity (USTLD) have provided significant diversity gains. By adopting the use of evolutionary algorithms, labelling diversity (LD) mapper designs produced are near-
Externí odkaz:
https://doaj.org/article/c9a5e36388be499c90140d3d7d9149cd
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0293005 (2023)
BackgroundThe study aimed to estimate the burden of ticks and tick-borne diseases (TBDs) among rural cattle-keeping households of the Eastern Cape province of South Africa using Productivity Adjusted Life Years (PALYs). We modified Disability Adjuste
Externí odkaz:
https://doaj.org/article/2ae79481deab4db6ae2183fcd1625b41
Autor:
Omran Salih, Kevin Jan Duffy
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 3248 (2023)
Examining and predicting skin cancer from skin lesion images is challenging due to the complexity of the images. Early detection and treatment of skin lesion disease can prevent mortality as it can be curable. Computer-aided diagnosis (CAD) provides
Externí odkaz:
https://doaj.org/article/a7702f68dc504a32a3eb0084eabfdaa0
Autor:
Omran Salih, Serestina Viriri
Publikováno v:
Image Analysis and Stereology, Vol 39, Iss 3, Pp 169-185 (2020)
Deep learning techniques such as Deep Convolutional Networks have achieved great success in skin lesion segmentation towards melanoma detection. The performance is however restrained by distinctive and challenging features of skin lesions such as irr
Externí odkaz:
https://doaj.org/article/8c13bb36c94c41e4ba053512f739bdd9
Publikováno v:
Sensors, Vol 22, Iss 13, p 4967 (2022)
Unlimited access to information and data sharing wherever and at any time for anyone and anything is a fundamental component of fifth-generation (5G) wireless communication and beyond. Therefore, it has become inevitable to exploit the super-high fre
Externí odkaz:
https://doaj.org/article/146507658b5f4fc0888626d1811330ee
Autor:
Omran Salih, Serestina Viriri
Publikováno v:
Symmetry, Vol 12, Iss 8, p 1224 (2020)
Markov random field (MRF) theory has achieved great success in image segmentation. Researchers have developed various methods based on MRF theory to solve skin lesions segmentation problems such as pixel-based MRF model, stochastic region-merging app
Externí odkaz:
https://doaj.org/article/0987928611034bb895f4c243996e25e2
Publikováno v:
2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA).
Publikováno v:
2022 IEEE 2nd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA).