Artificial Intelligence and Cognitive Computing : Methods, Technologies, Systems, Applications and Policy Making
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| Author: |
Lytras Miltiadis
|
| Title: |
Artificial Intelligence and Cognitive Computing : Methods, Technologies, Systems, Applications and Policy Making
|
| Publisher: | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Physical description: | 1 online resource (278 p.) |
| Topical subject: | Information technology industries |
| Uncontrolled subject: | air quality |
| anomalies | |
| artificial intelligence | |
| 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 | |
| elastic parameters | |
| empirical correlations | |
| face recognition | |
| fishbone multilateral wells | |
| histogram of oriented gradients | |
| Hybrid clustering | |
| international research | |
| Internet of things | |
| knowledge map visualization | |
| location prediction | |
| Long Short Term Memory (LSTM) | |
| LSTM | |
| machine learning | |
| 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 | |
| Person (second resp.): | VisviziAnna |
| LytrasMiltiadis | |
| Summary, etc: | 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. |
| Other Variant Titles: | Artificial Intelligence and Cognitive Computing |
| Preferred title for the work: | Artificial Intelligence and Cognitive Computing |
| Format: | Language material  |
| Bibliographic level | Monograph |
| Language: | English |
| Record Nr.: | 9910557356503321 |
| You will find it: | Univ. Federico II |
| Opac: | Check copies here |