|
Showing 1 - 5 of
5 matches in All Departments
INDUSTRIAL INTERNET OF THINGS (IIOT) This book discusses how the
industrial internet will be augmented through increased network
agility, integrated artificial intelligence (AI) and the capacity
to deploy, automate, orchestrate, and secure diverse user cases at
hyperscale. Since the internet of things (IoT) dominates all
sectors of technology, from home to industry, automation through
IoT devices is changing the processes of our daily lives. For
example, more and more businesses are adopting and accepting
industrial automation on a large scale, with the market for
industrial robots expected to reach $73.5 billion in 2023. The
primary reason for adopting IoT industrial automation in businesses
is the benefits it provides, including enhanced efficiency, high
accuracy, cost-effectiveness, quick process completion, low power
consumption, fewer errors, and ease of control. The 15 chapters in
the book showcase industrial automation through the IoT by
including case studies in the areas of the IIoT, robotic and
intelligent systems, and web-based applications which will be of
interest to working professionals and those in education and
research involved in a broad cross-section of technical
disciplines. The volume will help industry leaders by Advancing
hands-on experience working with industrial architecture
Demonstrating the potential of cloud-based Industrial IoT
platforms, analytics, and protocols Putting forward business models
revitalizing the workforce with Industry 4.0. Audience Researchers
and scholars in industrial engineering and manufacturing,
artificial intelligence, cyber-physical systems, robotics, safety
engineering, safety-critical systems, and application domain
communities such as aerospace, agriculture, automotive, critical
infrastructures, healthcare, manufacturing, retail, smart
transports, smart cities, and smart healthcare.
This book discusses the convergence of artificial intelligence (AI)
and Blockchain and how they can work together to help reach the
goals of Industry 4.0. The authors first discuss how AI and
Blockchain can help increase performance in business. The authors
go on to discuss how the technologies can integrate to provide a
competitive edge for businesses through improvements in big data,
which has allowed firms to organize huge datasets into structured
components that computers can process quickly. The authors also
cover security implications and how AI and Blockchain can act as a
double-edged sword against cyber-attacks. Impacts in programming,
calculations, robotization, robots, and equipment are also
discussed. This book caters to an extensive cross-sectional and
multi-disciplinary readership. Academics, researchers and their
students in topics such as artificial intelligence, cyber-physical
systems, ethics, robotics, safety engineering, and safety-critical
systems should find the book of value.
This book covers the growing convergence between Blockchain and
Artificial Intelligence for Big Data, Multi-Agent systems, the
Internet of Things and 5G technologies. Using real case studies and
project outcomes, it illustrates the intricate details of
blockchain in these real-life scenarios. The contributions from
this volume bring a state-of-the-art assessment of these rapidly
evolving trends in a creative way and provide a key resource for
all those involved in the study and practice of AI and Blockchain.
Big Data Analytics is a field that dissects, efficiently extricates
data from, or in any case manages informational indexes that are
excessively huge or complex to be managed by customary information
preparing application programming. Information with numerous cases
(lines) offers more noteworthy factual force, while information
with higher multifaceted nature may prompt a higher bogus
disclosure rate. Enormous information challenges incorporate
catching information, information stockpiling, information
investigation, search, sharing, move, representation, and
questioning, refreshing, data security and data source. Large
information was initially connected with three key ideas: volume,
variety and velocity. Consequently, huge information regularly
incorporates information with sizes that surpass the limit of
conventional programming to measure inside a satisfactory time and
worth. Current utilisation of the term enormous information will in
general allude to the utilisation of predictive analytics, user
behaviour analytics, or certain other progressed information
investigation techniques that concentrate an incentive from
information, and sometimes to a specific size of informational
index. There is little uncertainty that the amounts of information
now accessible are undoubtedly enormous, however that is not the
most important quality of this new information biological system.
Investigation of informational indexes can discover new
relationships to spot business patterns or models. Researchers,
business-persons, clinical specialists, promoting and governments
consistently meet challenges with huge informational collections in
territories including Internet look, fintech, metropolitan
informatics, and business informatics. Researchers experience
constraints in e-Science work, including meteorology, genomics,
connectomics, complex material science reproductions, science and
ecological exploration. The main objective of this book is to write
about issues, challenges, opportunities, and solutions in novel
research projects about big data in various domains. The topics of
interest include, but are not limited to: efficient storage,
management and sharing large scale of data; novel approaches for
analysing data using big data technologies; implementation of high
performance and/or scalable and/or real-time computation algorithms
for analysing big data; usage of various data sources like
historical data, social networking media, machine data and
crowd-sourcing data; using machine learning, visual analytics, data
mining, spatio-temporal data analysis and statistical inference in
different domains (with large scale datasets); Legal and ethical
issues and solutions for using, sharing and publishing large
datasets; and the results of data analytics, security and privacy
issues.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|