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This book constitutes the thoroughly refereed post-conference
proceedings of the 4th International Conference on Computing and
Network Communications (CoCoNet'20), October 14-17, 2020, Chennai,
India. The papers presented were carefully reviewed and selected
from several initial submissions. The papers are organized in
topical sections on Signal, Image and Speech Processing, Wireless
and Mobile Communication, Internet of Things, Cloud and Edge
Computing, Distributed Systems, Machine Intelligence, Data
Analytics, Cybersecurity, Artificial Intelligence and Cognitive
Computing and Circuits and Systems. The book is directed to the
researchers and scientists engaged in various fields of computing
and network communication domains.
This book constitutes the thoroughly refereed post-conference
proceedings of the 4th International Conference on Computing and
Network Communications (CoCoNet'20), October 14-17, 2020, Chennai,
India. The papers presented were carefully reviewed and selected
from several initial submissions. The papers are organized in
topical sections on Signal, Image and Speech Processing, Wireless
and Mobile Communication, Internet of Things, Cloud and Edge
Computing, Distributed Systems, Machine Intelligence, Data
Analytics, Cybersecurity, Artificial Intelligence and Cognitive
Computing and Circuits and Systems. The book is directed to the
researchers and scientists engaged in various fields of computing
and network communication domains.
This book constitutes the thoroughly refereed post-conference
proceedings of the 4th International Conference on Computing and
Network Communications (CoCoNet'20), October 14-17, 2020, Chennai,
India. The papers presented were carefully reviewed and selected
from several initial submissions. The papers are organized in
topical sections on Signal, Image and Speech Processing, Wireless
and Mobile Communication, Internet of Things, Cloud and Edge
Computing, Distributed Systems, Machine Intelligence, Data
Analytics, Cybersecurity, Artificial Intelligence and Cognitive
Computing and Circuits and Systems. The book is directed to the
researchers and scientists engaged in various fields of computing
and network communication domains.
This book constitutes the thoroughly refereed post-conference
proceedings of the 4th International Conference on Computing and
Network Communications (CoCoNet'20), October 14-17, 2020, Chennai,
India. The papers presented were carefully reviewed and selected
from several initial submissions. The papers are organized in
topical sections on Signal, Image and Speech Processing, Wireless
and Mobile Communication, Internet of Things, Cloud and Edge
Computing, Distributed Systems, Machine Intelligence, Data
Analytics, Cybersecurity, Artificial Intelligence and Cognitive
Computing and Circuits and Systems. The book is directed to the
researchers and scientists engaged in various fields of computing
and network communication domains.
Lower back pain (LBP) is the second most common neurological
ailment in the United States after the headache according to the
National Institute of Neurological Disorders and Stroke. Over 11
million Americans have some sort of Intervertebral Disc Disease
(IDD) costing over $50 billion annually for related diagnosis and
rehabilitation of the patients. In this book, we propose a
computer-aided diagnosis system for lumbar spine. our CAD system
utilizes a set of machine learning-based solutions for diagnosis of
lumbar inter-vertebral disc degenerative diseases (IDD). We study
clinical MRI from our collaborating radiologists group and use
their clinical diagnosis reports as our gold standard for diagnosis
of each disc level in the lumbar area.
Computational clusters have long provided a mechanism for the
acceleration of high performance computing (HPC) applications. With
today's supercomputers now exceeding the petaflop scale, however,
they are also exhibiting an increase in heterogeneity.
Thisheterogeneity spans a range of technologies, from multiple
operating systems to hardware accelerators and novel architectures.
Because of the exceptional acceleration some of these heterogeneous
architectures provide, they are being embraced as viable tools for
HPC applications. Given the scale of today's supercomputers, it is
clear that scientists must consider the use of fault-tolerance in
their applications. This is particularly true as computational
clusters with hundreds and thousands of processors become
ubiquitous in large-scale scientific computing, leading to lower
mean-times-to-failure. This forces the systems to effectively deal
with the possibility of arbitrary and unexpected node failure. In
this book the address the issue of fault-tolerance via
checkpointing. They discuss the existing strategies to provide
rollback recovery to applications -- both via MPI at the user level
and through application-level techniques. Checkpointing itself has
been studied extensively in the literature, including the authors'
own works. Here they give a general overview of checkpointing and
how it's implemented. More importantly, they describe strategies to
improve the performance of checkpointing, particularly in the case
of distributed systems.
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