Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Irfan Younas"'
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0278560 (2022)
BackgroundStudies on genome-wide associations help to determine the cause of many genetic diseases. Genome-wide associations typically focus on associations between single-nucleotide polymorphisms (SNPs). Genotyping every SNP in a chromosomal region
Externí odkaz:
https://doaj.org/article/559e39a3a6824addbfa24d3d4b3df82a
Publikováno v:
IEEE Access, Vol 8, Pp 222684-222699 (2020)
Designing reliable sequences of DNA (Deoxyribonucleic Acid) is a critical task in the fields of DNA computing, and nanotechnology. The quality and reliability of the DNA sequence can directly affect the accuracy of the processing of information store
Externí odkaz:
https://doaj.org/article/5fd0b020aa25490793fa7aba4091cbf5
Publikováno v:
PLoS ONE, Vol 15, Iss 6, p e0234625 (2020)
In many objective optimization problems (MaOPs), more than three distinct objectives are optimized. The challenging part in MaOPs is to get the Pareto approximation (PA) with high diversity and good convergence. In Literature, in order to solve the i
Externí odkaz:
https://doaj.org/article/3e738e31675141b3a3a97fa871efb5c8
Autor:
Irfan Younas, Majid Khan
Publikováno v:
Entropy, Vol 20, Iss 12, p 913 (2018)
In this research article, we propose a new structure namely inverse left almost semigroup (LA-semigroup) by adding confusion in our proposed image encryption scheme along with discrete and continuous chaotic systems in order to complement the diffusi
Externí odkaz:
https://doaj.org/article/a885903868eb4f03987706cc185ac0b0
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 43:5023-5034
Coronary artery disease (CAD) is a common heart disease that causes the blockage of coronary arteries. To reduce fatality, an accurate diagnosis of this disease is very important. Angiography is one of the most trustworthy and conventional methods fo
Publikováno v:
Soft Computing. 25:14209-14225
To solve global optimization problems, nature-inspired metaheuristics have emerged as the best option in many cases. The researchers have mimicked or mapped the optimal behaviors of living organisms, natural phenomena and human behaviors to solve opt
Publikováno v:
Multimedia Tools and Applications. 80:32245-32271
Segmentation of the endocardial and epicardial boundaries on 3D cardiac magnetic resonance images plays a vital role in the assessment of ejection fraction, wall thickness, end-diastolic volume, end-systolic volume, and stroke volume. Accurate segmen
Autor:
Irfan Younas, Maria Tamoor
Publikováno v:
Journal of X-Ray Science and Technology. 29:721-739
Medical image segmentation is a key step to assist diagnosis of several diseases, and accuracy of a segmentation method is important for further treatments of different diseases. Different medical imaging modalities have different challenges such as
Publikováno v:
Multimedia Tools and Applications. 80:28857-28877
The present article introduced a novel idea for information hiding namely steganography. We have used new notions for the construction of the nonlinear component for block cipher based on inverse LA-semigroups. This nonlinear component fundamentally
Autor:
Irfan Younas, Qamar Askari
Publikováno v:
Neural Processing Letters. 53:429-458
Political optimizer (PO) is a recently proposed human-behavior inspired meta-heuristic, which has shown tremendous performance on complex multimodal functions as well as engineering optimization problems. Good convergence speed and well-balanced expl