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Computer Science Advances - Research and Applications (Hardcover)
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Computer Science Advances - Research and Applications (Hardcover)
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This book is comprised of eleven chapters about computer
application and research areas to discuss the latest issues and
technologies. Interesting and important topics like fuzzy and
cognitive applications, fuzzy classifiers, neural network, data
analytics, clustering and classification models, artificial
intelligence, controller area network, digital technology industry
4.0, etc. are included in this book. The first chapter presents
neuro-fuzzy and cognitive researches for the development of objects
on the basis of location and territory. The second chapter is about
the method of parametric identification using a neuro-fuzzy
classifier. The third chapter describes the research on the
internet of things enabled smart campus for effectual data transit
from one entity to another for classroom notes. Chapters Four and
Five are dedicated to the use of advanced computer science of the
medical applications. Chapter Six presents the detection and
estimation of obstacle position for imminent crash prediction to
enhance the driver and vehicle interface using the controller area
network. Chapter Seven presents the development of accurate models
for estimation of pure CO2-oil minimum miscibility pressure based
on artificial intelligence methods. Chapter Eight addresses
dynamic, massive data handling with swarm intelligence based
algorithms for finding the solution of a difficult problem. The
next chapter proposes an encryption model which focuses on
bit-level confusion and bit-level diffusion followed by block-level
diffusion by using 1-D chaotic maps. Chapter Ten is dedicated to
digital technologies of the industry 4.0. The last chapter compares
the pattern sequence based forecasting method with ARIMA in
univariate time series forecasting.
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