Artificial Intelligence and Cognitive Computing
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,...
সংরক্ষণ করুন:
| বিন্যাস: | Online |
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| ভাষা: | ইংরেজি |
| প্রকাশিত: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | ONIX_20220111_9783036511610_35 |
| ট্যাগগুলো: |
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
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| _version_ | 1869522035248463872 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-76299 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-762992024-03-30T12:51:09Z Artificial Intelligence and Cognitive Computing Lytras, Miltiadis Visvizi, Anna 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries 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. 2022-01-11T13:28:00Z 2022-01-11T13:28:00Z 2021 book ONIX_20220111_9783036511610_35 9783036511610 9783036511603 https://directory.doabooks.org/handle/20.500.12854/76299 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/3715 https://mdpi.com/books/pdfview/book/3715 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-1160-3 10.3390/books978-3-0365-1160-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036511610 9783036511603 278 Basel, Switzerland open access |
| spellingShingle | 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Artificial Intelligence and Cognitive Computing |
| title | Artificial Intelligence and Cognitive Computing |
| title_full | Artificial Intelligence and Cognitive Computing |
| title_fullStr | Artificial Intelligence and Cognitive Computing |
| title_full_unstemmed | Artificial Intelligence and Cognitive Computing |
| title_short | Artificial Intelligence and Cognitive Computing |
| title_sort | artificial intelligence and cognitive computing |
| topic | 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20220111_9783036511610_35 |