|
Showing 1 - 5 of
5 matches in All Departments
We have seen a sharp increase in the development of data transfer
techniques in the networking industry during the last few years. We
can see that the photos are assisting clinicians in detecting
Covid-19 infection in patients even in the current Covid-19
pandemic condition. With the aid of ML/AI, medical imaging, such as
lung X-rays for Covid-19 infection, is crucial in the early
detection of many diseases. We also learned that in the Covid-19
scenario, wired and wireless networking are improved for data
transfer but have network congestion. An intriguing concept that
has the ability to reduce spectrum congestion and continuously
offer new network services is providing wireless network
virtualization. The degree of virtualization and resource sharing
varies between the paradigms. Each paradigm has both technical and
non-technical issues that need to be handled before wireless
virtualization becomes a common technology. For wireless network
virtualization to be successful, these issues need careful design
and evaluation. Future wireless network architecture must adhere to
a number of Quality of Service requirements (QoS). Virtualization
has been extended to wireless networks as well as conventional
ones. By enabling multi-tenancy and tailored service with a wider
range of carrier frequencies, it improves efficiency and
utilization. In the IoT environment, wireless users are
heterogeneous, and the network state is dynamic, making network
control problems extremely difficult to solve as dimensionality and
computational complexity keep rising quickly. Deep Reinforcement
Learning (DRL) has been developed by the use of Deep Neural
Networks (DNNs) as a potential approach to solve high-dimensional
and continuous control issues effectively. Deep Reinforcement
Learning techniques provide great potential in IoT, edge and SDN
scenarios and are used in heterogeneous networks for IoT-based
management on the QoS required by each Software Defined Network
(SDN) service. While DRL has shown great potential to solve
emerging problems in complex wireless network virtualization, there
are still domain-specific challenges that require further study,
including the design of adequate DNN architectures with 5G network
optimization issues, resource discovery and allocation, developing
intelligent mechanisms that allow the automated and dynamic
management of the virtual communications established in the SDNs
which is considered as research perspective
1. Covers latest concepts in image processing and intelligent
computing systems. 2. Presents the applications of image processing
based intelligent systems. 3. Covers latest research topics in the
field. 4. Written in a comprehensive and simple manner. 5. The text
is accompanied by tables and illustrative figures for better
understanding of the topic.
|
You may like...
Purple Hibiscus
Chimamanda Ngozi Adichie
Paperback
(3)
R240
R192
Discovery Miles 1 920
The Party
Elizabeth Day
Paperback
(1)
R323
R215
Discovery Miles 2 150
The Survivors
Jane Harper
Paperback
R459
R380
Discovery Miles 3 800
Crooked Seeds
Karen Jennings
Paperback
R340
R249
Discovery Miles 2 490
|