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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 ...
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 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 ...
Continuous monitoring of power consumption in urban buildings based on Internet of Things
(
Taylor and Francis Ltd.
, 2021 , Article)
Buildings consume a large portion of energy; the major consumption is due to improper use of electrical equipment. Thus, energy efficiency in buildings has become a priority at every level within the building. Previous ...
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 ...
Predicting carbonate formation permeability using machine learning
(
Elsevier B.V.
, 2020 , Article)
It is imperative to characterize the formation permeability to simulate the flow behavior at subsurface conditions. An accurate characterization at the core scale is possible when large samples are available, but often ...
Self-organized Operational Neural Networks with Generative Neurons
(
Elsevier Ltd
, 2021 , Article)
Operational Neural Networks (ONNs) have recently been proposed to address the well-known limitations and drawbacks of conventional Convolutional Neural Networks (CNNs) such as network homogeneity with the sole linear neuron ...
Mortality prediction utilizing blood biomarkers to predict the severity of COVID-19 using machine learning technique
(
MDPI
, 2021 , Article)
Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity will assist in the allocation and ...