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With rise of smart medical sensors, cloud computing and the health
care technologies, “connected health” is getting remarkable
consideration everywhere. Recently, the Internet of Things (IoT)
has brought the vision of a smarter world into reality. Cloud
computing fits well in this scenario as it can provide high quality
of clinical experience. Thus an IoT-cloud convergence can play a
vital role in healthcare by offering better insight of
heterogeneous healthcare content supporting quality care. It can
also support powerful processing and storage facilities of huge
data to provide automated decision making. This book aims to report
quality research on recent advances towards IoT-Cloud convergence
for smart healthcare, more specifically to the state-of-the-art
approaches, design, development and innovative use of those
convergence methods for providing insights into healthcare service
demands. Students, researchers, and medical experts in the field of
information technology, medicine, cloud computing, soft computing
technologies, IoT and the related fields can benefit from this
handbook in handling real-time challenges in healthcare. Current
books are limited to focus either on soft computing algorithms or
smart healthcare. Integration of smart and cloud computing models
in healthcare resulting in connected health is explored in detail
in this book.
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Highlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection - International Workshops of PAAMS 2023, Guimaraes, Portugal, July 12–14, 2023, Proceedings (1st ed. 2023)
Dalila Durães, Alfonso González-Briones, Marin Lujak, Alia Elbolock, João Carneiro
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R2,214
Discovery Miles 22 140
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the International
Workshops on Highlights in Practical Applications of Agents,
Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection,
PAAMS 2023, held in Guimaraes, Portugal, during July
12–14, 2023. The 14 full papers included in this book were
carefully reviewed and selected
from 26 submissions. They were organized in topical
sections as follows: provides a unique opportunity to bring
multi-disciplinary experts, academics, and practitioners together
to exchange their experience in the development of agents and
multi-agent systems.
This book introduces machine learning and its applications in smart
environments/cities. At this stage, a comprehensive understanding
of smart environment/city applications is critical for supporting
future research. This book includes chapters written by researchers
from different countries across the globe and identifies critical
threads in research and also gaps that open up new and challenging
lines of research for the future. Recent advances are discussed,
and thorough reviews introduce readers to critical domains. The
discussion on key research topics presented in this book
accelerates smart city and smart environment implementations based
on IoT technologies. Consequently, this book supports future
research activities aimed at developing future IoT architectures
for smart environments/cities.
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