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pro vyhledávání: '"Ayaz ul Hassan Khan"'
Autor:
Ayaz ul Hassan Khan Khan, Mayez Al-Mouhamed, Allam Fatayer, Anas Almousa, Abdulrahman Baqais, Mohammed Assayony
Publikováno v:
International Journal of Networked and Distributed Computing (IJNDC), Vol 2, Iss 3 (2014)
The advances of Graphic Processing Units (GPU) technology and the introduction of CUDA programming model facilitates developing new solutions for sparse and dense linear algebra solvers. Matrix Transpose is an important linear algebra procedure that
Externí odkaz:
https://doaj.org/article/d76328d98721498d926c338a2f44a1ca
Publikováno v:
Indian Journal of Science and Technology. 13:3586-3599
Cricket is the second most popular game around the globe, particularly it breeds a high level of enthusiasm in Asia, Australia and UK. However, it is generally known and globally mentioned that Pakistan is an “unpredictable” cricket team, which l
Autor:
Muhammad Zubair, Ayaz ul Hassan Khan
Publikováno v:
Multimedia Tools and Applications. 79:32749-32767
Twitter is a social media platform which has been proven to be a great tool for insights of emotions about products, policies etc. through a 280-character message called tweet, containing direct and unfiltered emotions by a large amount of user popul
Autor:
Sadeeq Jan, Ali Mustafa Qamar, Ayaz ul Hassan Khan, Rehan Ullah Khan, Tariq Mahmood, Uzma Afzal, Raihan Ur Rasool
Publikováno v:
IEEE Access, Vol 8, Pp 160231-160250 (2020)
Feature modeling is a common approach for configuring and capturing commonalities and variations among different Software Product Lines (SPL) products. This process is carried out by a set of SPL design teams, each working on a different configuratio
Autor:
Ayaz ul Hassan Khan, Tariq Mahmood, Ali Mustafa Qamar, Uzma Afzal, Rehan Ullah Khan, Raihan Ur Rasool
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 14, Iss 1 (2021)
A Software Product Line (SPL) is a collection of software for configuring software products in which sets of features are configured by different teams of product developers. This process often leads to inconsistencies (or dissatisfaction of constrai
Publikováno v:
Computing. 102:977-1003
Recent advances in GPUs opened a new opportunity in harnessing their computing power for general purpose computing. CUDA, an extension to C programming, is developed for programming NVIDIA GPUs. However, efficiently programming GPUs using CUDA is ver
Autor:
Ayaz ul Hassan Khan
Publikováno v:
2019 International Symposium on Recent Advances in Electrical Engineering (RAEE).
RNA secondary structure prediction is a core task to find out the relationship between it’s structure and function. Methods based on grammars, dynamic programming, matching and evolutionary algorithms have been developed for modeling and analysis o
Publikováno v:
GREDOS: Repositorio Institucional de la Universidad de Salamanca
Universidad de Salamanca (USAL)
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 8, Iss 3, Pp 67-77 (2020)
GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname
Universidad de Salamanca (USAL)
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 8, Iss 3, Pp 67-77 (2020)
GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname
k-Nearest Neighbor (k-NN) is a non-parametric algorithm widely used for the estimation and classification of data points especially when the dataset is distributed in several classes. It is considered to be a lazy machine learning algorithm as most o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f528db1e305da363bfa8c2d4c4097cf
http://hdl.handle.net/10366/143315
http://hdl.handle.net/10366/143315
Publikováno v:
International Journal of Advanced Computer Science and Applications. 10
The goal of big data analytics is to analyze datasets with a higher amount of volume, velocity, and variety for large-scale business intelligence problems. These workloads are normally processed with the distribution on massively parallel analytical
Publikováno v:
International Journal of Parallel Programming. 45:551-594
Recent development in graphic processing units (GPUs) has opened a new challenge in harnessing their computing power as a new general purpose computing paradigm. However, porting applications to CUDA remains a challenge to average programmers, which