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Autore: |
Lytras Miltiadis
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Titolo: |
Artificial Intelligence and Cognitive Computing : Methods, Technologies, Systems, Applications and Policy Making
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Pubblicazione: | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica: | 1 electronic resource (278 p.) |
Soggetto topico: | Information technology industries |
Soggetto non controllato: | 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 | |
Persona (resp. second.): | VisviziAnna |
LytrasMiltiadis | |
Sommario/riassunto: | 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. |
Altri titoli varianti: | Artificial Intelligence and Cognitive Computing |
Titolo autorizzato: | Artificial Intelligence and Cognitive Computing ![]() |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910557356503321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |