This new two-volume addresses a number of state-of-the-art
developments and unsolved open issues in the field of computational
intelligence. Volume 1 focuses on data science and artificial
intelligence. It highlights the use of predictive analytics of data
from various application domains to find timely solutions to
various problems. The book focuses on the research developments,
limitations, and management of real-time problems using
computational intelligence by identifying applicable approaches in
order to enhance, automate, and develop effective solutions. The
volume introduces empirical research, prospects of theoretical
research, and applications in data science and artificial
intelligence. The chapters present diverse application of computer
intelligence and machine learning in security, healthcare and
medicine, agriculture, traffic science/smart cities, and language
and text conversion. Volume 2 demonstrates empirical, theoretical,
and application perspectives on smart technologies, computational
intelligence in network technologies, and computational
intelligence in software engineering, identifying the advantages
and limitations of each. The chapters on smart technologies address
their application in such areas as communication services,
healthcare and assistive technology, urban waste management,
vehicle pollution and accident detection, and more. The
technologies encompass the use of machine learning, blockchain, fog
computing, satellite communication technology, ant colony
optimization algorithms, etc. Together, these two volumes offer new
research on presented by young and dynamic researchers and experts
from industry and academia, sharing a plethora of new and emerging
technologies that support their effective operations in
computational intelligence in information systems. These
peer-review chapters were selected from the International
Conference on Computational Intelligence in Analytics and
Information Systems’ (CIAIS- 2021), held in April 2021 at Manav
Rachna University, India.
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