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Now showing items 1-7 of 7
An Arabic Text-to-Picture Mobile Learning System
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
Handled devices and software applications are susceptible to ameliorate learning strength, awareness, and career development. Many mobile-based learning applications are obtainable from the market but Arabic learning ...
Sparsity-aware Multiple Relay Selection In Large Decode-and-forward Relay Networks
(
Hamad bin Khalifa University Press (HBKU Press)
, 2014 , Conference Paper)
Cooperative communication is a promising technology that has attracted significant attention recently thanks to its ability to achieve spatial diversity in wireless networks with only single-antenna nodes. The different ...
On Dependability Traffic Load and Energy Consumption Tradeoff in Data Center Networks
(
Hamad bin Khalifa University Press (HBKU Press)
, 2018 , Conference Paper)
Mega data centers (DCs) are considered as efficient and promising infrastructures for supporting numerous cloud computing services such as online office, online social networking, Web search and IT infrastructure out-sourcing. ...
Adaptative Network Topology for Data Centers
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
Data centers have an important role in supporting cloud computing services (such as email, social networking, web search, etc.) enterprise computing needs, and infrastructure-based services. Data center networking is a ...
Exploiting Sparsity in Amplify-and-Forward Broadband Multiple Relay Selection
(
IEEE
, 2019 , Article)
Cooperative communication has attracted significant attention in the last decade due to its ability to increase the spatial diversity order with only single-antenna nodes. However, most of the techniques in the literature ...
Towards bandwidth guaranteed energy efficient data center networking
(
Springer
, 2015 , Article)
The data center network connecting the servers in a data center plays a crucial role in orchestrating the infrastructure to deliver peak performance to users. In order to meet high performance and reliability requirements, ...
A survey of clustering algorithms for big data: Taxonomy and empirical analysis
(
IEEE Computer Society
, 2014 , Article)
Clustering algorithms have emerged as an alternative powerful meta-learning tool to accurately analyze the massive volume of data generated by modern applications. In particular, their main goal is to categorize data into ...