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An optimizing and differentially private clustering algorithm for mixed data in SDN-based smart grid
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Software-defined network (SDN) is widely used in smart grid for monitoring and managing the communication network. Big data analytics for SDN-based smart grid has got increasing attention. It is a promising approach to use ...
Multi-layer perceptron model on chip for secure diabetic treatment
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Article)
Diabetic patients use therapy from the insulin pump, a type of implantable medical device, for the infusion of insulin to control blood glucose level. While these devices offer many clinical benefits, there has been a ...
Long-term performance analysis and power prediction of PV technology in the State of Qatar
(
Elsevier Ltd
, 2017 , Article)
?Solar photovoltaic (PV) energy in GCC?- the term seems convincing to many solar PV industries due to high solar exposure in GCC region. However, long-term effects such as dust accumulation and seasonal variation are major ...
A Heuristic Statistical Testing Based Approach for Encrypted Network Traffic Identification
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
In recent years, malware with strong concealment uses encrypted protocol to evade detection. Thus, encrypted traffic identification can help security analysts to be more effective in narrowing down those encrypted network ...
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
Detection and classification of cell nuclei in histopathology images of cancerous tissue stained with the standard hematoxylin and eosin stain is a challenging task due to cellular heterogeneity. Deep learning approaches ...
A Hybrid Feature Selection Method for Complex Diseases SNPs
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
Machine learning techniques have the potential to revolutionize medical diagnosis. Single Nucleotide Polymorphisms (SNPs) are one of the most important sources of human genome variability; thus, they have been implicated ...
Identifying mortality risk factors amongst acute coronary syndrome patients admitted to Arabian Gulf hospitals using machine‐learning methods
(
Wiley
, 2019 , Article)
Acute coronary syndrome (ACS) is a leading cause of mortality and morbidity in the
Arabian Gulf. In this study, the in‐hospital mortality amongst patients admitted with
ACS to Arabian Gulf hospitals is predicted using a ...
A Comparative Study of Machine Learning Approaches for Handwriter Identification
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
During the past few years, writer identification has attracted significant interest due to its real-life applications including document analysis, forensics etc. Machine learning algorithms have played an important role ...
Cost effective assessment of transformers using machine learning approach
(
IEEE Computer Society
, 2014 , Conference Paper)
Furan content in transformer oil is highly correlated with the transformer insulation paper aging. In this paper, the ranges of furan content in power transformer is predicted using measurements of transformer oil tests ...
COLAP: A predictive framework for service function chain placement in a multi-cloud environment
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Network function virtualization (NFV) over multi-cloud promises network service providers amazing flexibility in service deployment and optimizing cost. Telecommunications applications are, however, sensitive to performance ...