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Semantic metrics for software products
(
Springer-Verlag London Ltd
, 2014 , Article)
Like all engineering disciplines, software engineering relies on quantitative analysis to support rationalized decision making. Software engineering researchers and practitioners have traditionally relied on software metrics ...
An arabic ontology-based learning system for children with intellectual challenges
(
IEEE
, 2014 , Conference Paper)
Children with intellectual challenges (IC) are growing up with extensive exposure to computer technology. Computer software and assistive devices have the potential to help these children in education, career development, ...
A finite state hidden markov model for predicting multistage attacks in cloud systems
(
IEEE
, 2014 , Conference Paper)
Cloud computing significantly increased the security threats because intruders can exploit the large amount of cloud resources for their attacks. However, most of the current security technologies do not provide early ...
Secure and efficient data transmission for cluster-based wireless sensor networks
(
IEEE
, 2014 , Article)
Secure data transmission is a critical issue for wireless sensor networks (WSNs). Clustering is an effective and practical way to enhance the system performance of WSNs. In this paper, we study a secure data transmission ...
Energy-efficient cloud resource management
(
IEEE
, 2014 , Conference Paper)
We propose a resource management framework that reduces energy consumption in cloud data centers. The proposed framework predicts the number of virtual machine requests along with their amounts of CPU and memory resources, ...
Limited feedback unitary precoding for MIMO full stream transmission
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Article)
Limited feedback precoding (LFP) significantly improves multiple-input-multiple-output (MIMO) spatial multiplexing link reliability with a small amount of feedback from the receiver back to the transmitter. One of the key ...
Using minimal generators for composite isolated point extraction and conceptual binary relation coverage: Application for extracting relevant textual features
(
Elsevier
, 2016 , Article)
In recent years, several mathematical concepts have been successfully explored in the computer science domain as a basis for finding original solutions for complex problems related to knowledge engineering, data mining, ...
A novel approach to assess the products' global environmental impacts by considering pollution transfer phenomena
(
Inderscience Enterprises Ltd.
, 2014 , Article)
As environmental issues become more serious, governments and customers are more sensitive about the environmental impacts which are produced by products. Many methods have been proposed to assess environmental impacts. The ...
A Bi-layered parallel training architecture for large-scale convolutional neural networks
(
IEEE Computer Society
, 2019 , Article)
Benefitting from large-scale training datasets and the complex training network, Convolutional Neural Networks (CNNs) are widely applied in various fields with high accuracy. However, the training process of CNNs is very ...
Bayesian Hierarchical Clustering for Studying Cancer Gene Expression Data with Unknown Statistics
(
Public Library of Science
, 2013 , Article)
Clustering analysis is an important tool in studying gene expression data. The Bayesian hierarchical clustering (BHC) algorithm can automatically infer the number of clusters and uses Bayesian model selection to improve ...