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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
Explores the role of Artificial Intelligence and Smart Computing in
health informatics and healthcare with an emphasis on clinical data
management and analysis for precise prediction and prompt action
Presents cutting edge tracking, monitoring, real time assistance,
and security for IoT in healthcare Discusses broadly on wearable
sensors and IoT devices and their role in smart living assistance
and energy conservation Describes a system mode and architecture
for a clear picture of IoT in healthcare Explains the challenges
and opportunities with IoT based healthcare industries and includes
a study of threats, impacts, and the need of information security
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Disease Resistance in Wheat (Hardcover)
Ravi Singh; Edited by Indu Sharma; Contributions by Colin Wellings, Brent McCallum, Carl Griffey, …
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R3,494
Discovery Miles 34 940
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Ships in 12 - 17 working days
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Disease resistance is one of the major factors that can be improved
to sustain yield potential in cultivated crops. This book looks at
disease resistance in wheat, concentrating on all the economically
important diseases their economic impact and geographical spread,
breeding for resistance, pathogen variability, resistance
mechanisms and recent advances made on resistance genes. Newer
strategies for identifying resistance genes and identify resistance
mechanisms are discussed, including cloning, gene transfer and the
use of genetically modified plants. "
Meeting you has changed my life and I really Love you so, the
feelings I feel for you I am never letting go. Remember me always
and I will too. I always think of Me-and-You. -a love tale from
incomplete beginning to incomplete end. She was his goal but fate
was opposite to his expectations.
A research entitled "Prospects of Agrobiodiversity Conservation by
Ethnic Communities" was undertaken with the objective to prepare an
inventory of cultivated diversity of plants and animal species by
the ethnic communities and their use in farming and in sustaining
the livelihoods. The field work was carried during May to October
2011 in Udayapur district of Nepal. The study has been mainly based
on the primary sources of data collected from the field. The
findings of this study justifies policy interventions to explicitly
recognize the potential of traditional knowledge of biodiversity
conservation of rural ethnic communities and to incorporate them in
development plans and policy making that affects the livelihoods of
such ethnic rural inhabitants.
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