The new book presents a valuable selection of new and
state-of-the-art technological advancements in various application
areas using the concepts of AI and machine learning, highlighting
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 various novel
approaches include applications in healthcare, natural language
processing, and smart cities. As such, the book is divided into
sections that address: Computational Intelligence in Image
Processing Computational Intelligence in Healthcare Techniques for
Natural Language Processing Computational Intelligence in Smart
Cities The very diverse range of topics include AI and machine
learning applications for In security: For using digital image
processing for image fusion (face recognition, feature extraction,
object detection as well tracking, moving object identification),
for person re-identification for security purposes. In healthcare
and medicine: For diagnosis and prediction of breast cancer, other
cancers, diabetes, heart disease; for predicting susceptibility to
COVID-19; for prediction of mood and anxiety disorders. In
agriculture: For prediction of crop profit; for prediction of
cropping patterns and recommendation for crop cultivation. In
traffic science/smart cities: For understanding road scene images,
for detection of traffic signs, for devising a fog-based
intelligent traffic phase timing regulation system In
language/speech/text: For automatic text summarization, for
document indexing for unstructured data, for speech/accent
recognition, for sound separation, for American Sign Language
interpretation for nonsigners, for emotional recognition and
analysis through speech, body postures with facial expressions, and
other body movements (to improve the performance of virtual
personal assistants / emotion recognition using speech, body
postures with facial expressions and other body movements. This
volume offers valuable information for researchers working in
interdisciplinary or multidisciplinary areas of healthcare, image
analysis, natural language processing, and smart cities. This
includes academicians, people in industry, and students with
engineering background with research interest in these areas. 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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