Artificial Intelligence and Cognitive Computing Methods, Technologies, Systems, Applications and Policy Making
- Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
- 1 electronic resource (278 p.)
Open Access
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.
Creative Commons
English
9783036511610 9783036511603
Искусственный интеллект
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 n/a