Search
Now showing items 1-10 of 25
A survey on recent approaches in intrusion detection system in IoTs
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Internet of Things (IoTs) are Internet-connected devices that integrate physical objects and internet in diverse areas of life like industries, home automation, hospitals and environment monitoring. Although IoTs ease daily ...
Audio based drone detection and identification using deep learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
In recent years, unmanned aerial vehicles (UAVs) have become increasingly accessible to the public due to their high availability with affordable prices while being equipped with better technology. However, this raises a ...
HYPER-VINES: A HYbrid Learning Fault and Performance Issues ERadicator for Virtual NEtwork Services over Multi-Cloud Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Fault and performance management systems, in the traditional carrier networks, are based on rule-based diagnostics that correlate alarms and other markers to detect and localize faults and performance issues. As carriers ...
PV power prediction in Qatar based on machine learning approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
PV output power is highly sensitive to many environmental parameters, hence, power available from plants based on this technology will be affected, especially in harsh environments such that of Gulf countries. In order to ...
Feasibility of Supervised Machine Learning for Cloud Security
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Cloud computing is gaining significant attention, however, security is the biggest hurdle in its wide acceptance. Users of cloud services are under constant fear of data loss, security threats and availability issues. ...
Predicting hypertension using machine learning: Findings from Qatar Biobank Study
(
PLoS ONE
, 2020 , Article)
Hypertension, a global burden, is associated with several risk factors and can be treated by lifestyle modifications and medications. Prediction and early diagnosis is important to prevent related health complications. The ...
Predictive Auto-scaling of Multi-tier Applications Using Performance Varying Cloud Resources
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
The performance of the same type of cloud resources, such as virtual machines (VMs), varies over time mainly due to hardware heterogeneity, resource contention among co-located VMs, and virtualization overhead. The performance ...
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 ...
Machine learning techniques for predicting depression and anxiety in pregnant and postpartum women during the COVID-19 pandemic: a cross-sectional regional study
(
F1000Research
, 2022 , Article)
Background : Maternal depression and anxiety are significant public health concerns that play an important role in the health and well-being of mothers and children. The COVID-19 pandemic, the consequential lockdowns and ...
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 ...