Advances in Data Science and Artificial Intelligence

Rajiv Misra, Nishtha Kesswani, Muttukrishnan Rajarajan, Bharadwaj Veeravalli, Imène Brigui-Chtioui (), Ashok Patel and T. N. Singh
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Rajiv Misra: IITP - Indian Institute of Technology Patna
Nishtha Kesswani: Central University of Rajasthan - Partenaires INRAE
Muttukrishnan Rajarajan: University of London [London]
Bharadwaj Veeravalli: NUS - National University of Singapore
Imène Brigui-Chtioui: EM - EMLyon Business School
T. N. Singh: IITP - Indian Institute of Technology Patna

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Abstract: With the intriguing development of technologies in several industries along with the advent of accrescent and ubiquitous computational resources, it creates an ample number of opportunities to develop innovative intelligence technologies in order to solve the wide range of uncertainties, imprecision, and vagueness issues in various real-life problems. Hybridizing modern computational intelligence with traditional computing methods has attracted researchers and academicians to focus on developing innovative AI techniques using data science. International Conference on Data Science and Artificial Intelligence (ICDSAI) 2022, organized on April 23-24, 2022 by the Indian Institute of Technology, Patna at NITIE Mumbai (India) in collaboration with the International Association of Academicians (IAASSE) USA collected scientific and technical contributions with respect to models, tools, technologies, and applications in the field of modern Artificial Intelligence and Data Science, covering the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.

Keywords: Data Science; Artificial Intelligence; Signal Processing; computer networks; Signal; Speech and Image Processing; Data Structures; Data Structures and Information Theory (search for similar items in EconPapers)
Date: 2023-05-13
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Published in Springer, 524 p., 2023, 978-3-03-116177-3. ⟨10.1007/978-3-031-16178-0⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04325694

DOI: 10.1007/978-3-031-16178-0

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