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Artificial Intelligence and Cognitive Computing
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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.
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Keywords
- Air quality
- anomalies
- artificial intelligence
- artificial neural network
- assembly clearance
- barnett shale
- Clustering
- CO2 flooding
- Data envelopment analysis
- Data mining
- Decision making
- decision-making system
- deep learning
- devonian shale
- diesel engine quality
- dimension reduction
- Economics, finance, business & management
- elastic parameters
- empirical correlations
- face recognition
- fishbone multilateral wells
- histogram of oriented gradients
- Hybrid clustering
- Industry & industrial studies
- Information technology industries
- international research
- Internet of Things
- knowledge map visualization
- location prediction
- Long Short Term Memory (LSTM)
- LSTM
- Machine learning
- Media, information & communication industries
- minimum miscibility pressure (MMP)
- mixed integer linear programming
- most-matching
- Multi-hop routing
- multivariate
- n/a
- network lifetime
- neural networks
- new models
- Performance
- Poisson’s ratio
- policy documents quantification
- policy keyword
- predictive models
- Real-time
- regular patterns
- research hotspot
- rheological properties
- rough set
- sandstone
- sandstone formations
- security
- self-adaptive differential evolution
- Smart cities
- Smart tourism
- spatiotemporal
- speech output correction
- Speech Recognition
- spoofing
- static young’s modulus
- System
- total organic carbon
- trajectories
- Visual analytics
- water-based drill-in fluid
- well productivity
- Wireless nodes
Links
DOI: 10.3390/books978-3-0365-1160-3Editions