Computational Intelligence in Analytics and Information Systems: Volume 1: Data Science and AI, Selected...

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Parneeta Dhaliwal Manpreet Kaur

Computational Intelligence in Analytics and Information Systems

Volume 1: Data Science and AI, Selected Papers from CIAIS-2021

Parneeta Dhaliwal, Manpreet Kaur, Hardeo Kumar Thakur , Rajeev Kumar Arya

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English

Apple Academic Press Inc.
11 September 2023

Biology, life sciences; Computing: general; Databases; Computer architecture & logic design; Educational: Sciences, general science

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.

Edited by: Parneeta Dhaliwal, Manpreet Kaur, Hardeo Kumar Thakur, Rajeev Kumar Arya, Joan Lu
Imprint: Apple Academic Press Inc.
Country of Publication: Canada
Dimensions: Height: 234mm, Width: 156mm,
Weight: 1.061kg
ISBN: 9781774911440
ISBN 10: 1774911442
Pages: 454
Publication Date: 11 September 2023
Audience: College/higher education , Primary
Format: Hardback
Publisher's Status: Active

Hardeo Kumar Thakur, PhD, is working as an Associate Professor in the Department of Computer Science and Technology of Manav Rachna University, Faridabad, India. With over 10 years of teaching and research experience, he focuses on data mining, dynamic graph mining, machine learning and big data analytics. Manpreet Kaur, PhD, is an Associate Professor in the Department of Computer Science and Technology, Manav Rachna University, India. She has more than 14 years of teaching and research experience. Her current research is on machine learning, deep learning, and natural language processing. Parneeta Dhaliwal, PhD, has over 16 years of experience in teaching and research. Presently, she is an Associate Professor in the Department of Computer Science and Technology, Manav Rachna University, India. She is also Head of the Research Cluster of Computing (RCC) to facilitate students in their research projects. Rajeev Kumar Arya, PhD, is an Assistant Professor with the Department of Electronics and Communication Engineering at National Institute of Technology, Patna, India. His current research interests are in wireless communication, soft computing techniques, cognitive radio, signal processing, communication systems, and circuit design. Joan Lu, PhD, is a Professor in the Department of Computer Science and the Research Group Leader of Information and System Engineering in the Centre of High Intelligent Computing at the University of Huddersfield, UK, having previously been team leader in the IT Department of the Charlesworth Group.