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Smart neuropathy detection using machine intelligence: Filling the void between clinical practice and early diagnosis
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
An important aspect of Smart healthcare involves the development of innovative non-intrusive procedures for early detection and diagnosis of specific illnesses. Essentially, diseases for which very complicated and invasive ...
Design and implementation of programmable multi-parametric 4-degrees of freedom seismic waves ground motion simulation IoT platform
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
The early warning and disaster management agencies spend billions of dollars to counter and cater earthquakes but it has always been unique accident. In this work, a programmable four degrees of freedom electromechanical ...
A machine learning approach of load balance routing to support next-generation wireless networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
With the development of Next-generation Wireless Networks (NWNs), delay-sensitive traffic triggered by mobile applications (such as video stream and online games) will become an important part of the NWNs. With the increasing ...
QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Driven by the tremendous technological advancement of personal devices and the prevalence of wireless mobile network accesses, the world has witnessed an explosion in crowdsourced live streaming. Ensuring a better viewers ...
Transcoding resources forecasting and reservation for crowdsourced live streaming
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
During the last decade, empowered by the technological advances of mobile devices and the revolution of wireless mobile network access, crowdsourced live streaming has become more popular. Ensuring a stable high-quality ...
RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
(
Elsevier B.V.
, 2019 , Article)
The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to technical, security, and public safety issues that need to be addressed, regulated and prevented. Security agencies are in continuous ...
Fault and performance management in multi-cloud virtual network services using AI: A tutorial and a case study
(
Elsevier B.V.
, 2019 , Article)
Carriers find Network Function Virtualization (NFV) and multi-cloud computing a potent combination for deploying their network services. The resulting virtual network services (VNS) offer great flexibility and cost advantages ...
Machine learning aided load balance routing scheme considering queue utilization
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Due to the rapid development of network techniques, packet-switched systems experience high-speed growth of traffic, which imposes a heavy and unbalanced burden on the routers. Hence, efficient routing schemes are required ...
Machine learning in the Internet of Things: Designed techniques for smart cities
(
Elsevier B.V.
, 2019 , Article)
Machine learning is one of the emerging technologies that has grabbed the attention of academicians and industrialists, and is expected to evolve in the near future. Machine learning techniques are anticipated to provide ...