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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 ...
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 ...
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 ...
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 ...
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 ...
A Novel Deep Learning Strategy for Classifying Different Attack Patterns for Deep Brain Implants
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Deep brain stimulators (DBSs), a widely used and comprehensively acknowledged restorative methodology, are a type of implantable medical device which uses electrical stimulation to treat neurological disorders. These devices ...
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 ...
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 ...
Risk prediction of early decline in renal function in diabetic kidney disease with algorithm including fractional excretion of glycated amino acids
(
Qatar University Press
, 2021 , Poster)
Background and aims: Diabetic kidney disease occurs in ca. 40% patients with diabetes. Approximately 1 in 5 patients with type 1 diabetes mellitus (T1DM) and 1 in 3 patients with type 2 diabetes mellitus (T2DM) develop ...
Can AI Help in Screening Viral and COVID-19 Pneumonia?
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool enabling rapid screening of the COVID-19 ...