Artificial Intelligence and Cognitive Computing

Methods, Technologies, Systems, Applications and Policy Making

Edited by
May 2021
278 pages
  • ISBN978-3-0365-1161-0 (Hardback)
  • ISBN978-3-0365-1160-3 (PDF)

This book is a reprint of the Special Issue Artificial Intelligence and Cognitive Computing: Methods, Technologies, Systems, Applications and Policy Making that was published in

Business & Economics
Environmental & Earth Sciences
Social Sciences, Arts & Humanities

Artificial intelligence (AI) is a subject garnering increasing attention in both academia and the industry today. The understanding is that AI-enhanced methods and techniques create a variety of opportunities related to improving basic and advanced business functions, including production processes, logistics, financial management and others. As this collection demonstrates, AI-enhanced tools and methods tend to offer more precise results in the fields of engineering, financial accounting, tourism, air-pollution management and many more. The objective of this collection is to bring these topics together to offer the reader a useful primer on how AI-enhanced tools and applications can be of use in today’s world. In the context of the frequently fearful, skeptical and emotion-laden debates on AI and its value added, this volume promotes a positive perspective on AI and its impact on society. AI is a part of a broader ecosystem of sophisticated tools, techniques and technologies, and therefore, it is not immune to developments in that ecosystem. It is thus imperative that inter- and multidisciplinary research on AI and its ecosystem is encouraged. This collection contributes to that.

  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
data mining; decision-making system; rough set; mixed integer linear programming; assembly clearance; diesel engine quality; Internet of things; Wireless nodes; Hybrid clustering; Multi-hop routing; Network lifetime; Artificial intelligence; data envelopment analysis; decision making; artificial intelligence; performance; visual analytics; system; air quality; spatiotemporal; multivariate; dimension reduction; clustering; regular patterns; anomalies; speech recognition; Long Short Term Memory (LSTM); speech output correction; most-matching; empirical correlations; rheological properties; real-time; water-based drill-in fluid; artificial neural network; elastic parameters; Poisson’s ratio; sandstone; artificial neural network; self-adaptive differential evolution; total organic carbon; artificial intelligence; barnett shale; devonian shale; fishbone multilateral wells; artificial intelligence; predictive models; well productivity; artificial intelligence; international research; knowledge map visualization; policy documents quantification; research hotspot; policy keyword; minimum miscibility pressure (MMP); CO2 flooding; artificial intelligence; new models; face recognition; security; spoofing; histogram of oriented gradients; smart cities; deep learning; LSTM; neural networks; location prediction; trajectories; smart tourism; static Young’s modulus; sandstone formations; machine learning; n/a

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