Artificial Intelligence and Cognitive Computing : Methods, Technologies, Systems, Applications and Policy Making

Artificial Intelligence and Cognitive Computing : Methods, Technologies, Systems, Applications and Policy Making

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,...

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Bibliographic Details
Other Authors: Lytras, Miltiadis (Editor), Visvizi, Anna (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Information technology industries
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
self-adaptive differential evolution
total organic carbon
barnett shale
devonian shale
fishbone multilateral wells
predictive models
well productivity
international research
knowledge map visualization
policy documents quantification
research hotspot
policy keyword
minimum miscibility pressure (MMP)
CO2 flooding
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
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Description
Summary: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.
Physical Description:1 electronic resource (278 p.)
ISBN:books978-3-0365-1160-3
9783036511610
9783036511603
Access:Open Access

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