東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Artificial intelligence- Environmental aspects." ]

切換: 標籤 | MARC模式 | ISBD

Artificial intelligence and environm...

Ong, Hui Lin.

FindBook

Google Book

Amazon

博客來

Artificial intelligence and environmental sustainability = challenges and solutions in the era of Industry 4.0 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence and environmental sustainability/ edited by Hui Lin Ong ... [et al.].
其他題名:	challenges and solutions in the era of Industry 4.0 /
其他作者:	Ong, Hui Lin.
出版者:	Singapore :Springer Nature Singapore : : 2022.,
面頁冊數:	xiii, 211 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	Artificial Intelligence in Pollution Control and Management: Status and Future Prospects -- Artificial Intelligence and Environmental Health: A Platform Ecosystem Perspective -- Artificial Intelligence in Real-time Rainfall-Runoff Modelling and Flood Forecasting -- Cross-Validation of Circular Economy Causal Network Maps -- Smart Cities Energy Trading Platform Based on a Multi-Agent Approach -- Near Real-time Fire Management and Environmental Sustainability: Towards a Machine Learning Approach to Monitor Oil Pipeline Spill Fires with MODIS Fire Products in Nigeria -- Application of Cloud-based Machine Learning Approach to Analyse Remotely Sensed Data for Coastal Monitoring in Bangladesh -- Commercial Photovoltaic Performance Optimization using Genetic Algorithms -- Artificial Intelligence in Wastewater Treatment Systems in the Era of Industry 4.0: A Holistic Review -- Rough set Approach to Pharmaceutical Process Waste Reduction.
Contained By:	Springer Nature eBook
標題:	Sustainability - Technological innovations. -
電子資源:	https://doi.org/10.1007/978-981-19-1434-8
ISBN:	9789811914348

Artificial intelligence and environmental sustainability = challenges and solutions in the era of Industry 4.0 /
Artificial intelligence and environmental sustainabilitychallenges and solutions in the era of Industry 4.0 /[electronic resource] :edited by Hui Lin Ong ... [et al.]. - Singapore :Springer Nature Singapore :2022. - xiii, 211 p. :ill. (chiefly col.), digital ;24 cm. - Algorithms for intelligent systems,2524-7573. - Algorithms for intelligent systems..

Artificial Intelligence in Pollution Control and Management: Status and Future Prospects -- Artificial Intelligence and Environmental Health: A Platform Ecosystem Perspective -- Artificial Intelligence in Real-time Rainfall-Runoff Modelling and Flood Forecasting -- Cross-Validation of Circular Economy Causal Network Maps -- Smart Cities Energy Trading Platform Based on a Multi-Agent Approach -- Near Real-time Fire Management and Environmental Sustainability: Towards a Machine Learning Approach to Monitor Oil Pipeline Spill Fires with MODIS Fire Products in Nigeria -- Application of Cloud-based Machine Learning Approach to Analyse Remotely Sensed Data for Coastal Monitoring in Bangladesh -- Commercial Photovoltaic Performance Optimization using Genetic Algorithms -- Artificial Intelligence in Wastewater Treatment Systems in the Era of Industry 4.0: A Holistic Review -- Rough set Approach to Pharmaceutical Process Waste Reduction.

The book discusses comprehensive and cutting-edge research and development endeavors, as well as innovative solutions, in implementing AI and related technologies to meet and undertake current and future challenges towards ensuring environmental sustainability. It explores the future research directions in the era of Industry 4.0. In the beginning, an overview of the utilization of Al for environmental sustainability is provided. The remaining chapters of the book cover the technological and application aspects of Al for environmental sustainability with illustrative examples. Finally, challenges with respect to deploying Al to solving environmental problems and the future trends are covered.

ISBN: 9789811914348

Standard No.: 10.1007/978-981-19-1434-8doiSubjects--Topical Terms:

3592880
Sustainability
--Technological innovations.

LC Class. No.: HC79.E5 / A77 2022

Dewey Class. No.: 006.3

Artificial intelligence and environmental sustainability = challenges and solutions in the era of Industry 4.0 /
LDR:02792nmm a2200337 a 4500 001 2300522
003 DE-He213
005 20220429010249.0
006 m d
007 cr nn 008maaau
008 230324s2022 si s 0 eng d
020 $a 9789811914348 $q (electronic bk.)
020 $a 9789811914331 $q (paper)
024 7 $a 10.1007/978-981-19-1434-8 $2 doi
035 $a 978-981-19-1434-8
040 $a GP $c GP
041 0 $a eng
050 4 $a HC79.E5 $b A77 2022
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a HC79.E5 $b A791 2022
245 0 0 $a Artificial intelligence and environmental sustainability $h [electronic resource] : $b challenges and solutions in the era of Industry 4.0 / $c edited by Hui Lin Ong ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a xiii, 211 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Algorithms for intelligent systems, $x 2524-7573
505 0 $a Artificial Intelligence in Pollution Control and Management: Status and Future Prospects -- Artificial Intelligence and Environmental Health: A Platform Ecosystem Perspective -- Artificial Intelligence in Real-time Rainfall-Runoff Modelling and Flood Forecasting -- Cross-Validation of Circular Economy Causal Network Maps -- Smart Cities Energy Trading Platform Based on a Multi-Agent Approach -- Near Real-time Fire Management and Environmental Sustainability: Towards a Machine Learning Approach to Monitor Oil Pipeline Spill Fires with MODIS Fire Products in Nigeria -- Application of Cloud-based Machine Learning Approach to Analyse Remotely Sensed Data for Coastal Monitoring in Bangladesh -- Commercial Photovoltaic Performance Optimization using Genetic Algorithms -- Artificial Intelligence in Wastewater Treatment Systems in the Era of Industry 4.0: A Holistic Review -- Rough set Approach to Pharmaceutical Process Waste Reduction.
520 $a The book discusses comprehensive and cutting-edge research and development endeavors, as well as innovative solutions, in implementing AI and related technologies to meet and undertake current and future challenges towards ensuring environmental sustainability. It explores the future research directions in the era of Industry 4.0. In the beginning, an overview of the utilization of Al for environmental sustainability is provided. The remaining chapters of the book cover the technological and application aspects of Al for environmental sustainability with illustrative examples. Finally, challenges with respect to deploying Al to solving environmental problems and the future trends are covered.
650 0 $a Sustainability $x Technological innovations. $3 3592880
650 0 $a Artificial intelligence $x Environmental aspects. $3 3598484
650 0 $a Industry 4.0. $3 3491401
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Big Data. $3 3134868
700 1 $a Ong, Hui Lin. $3 3599104
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Algorithms for intelligent systems. $3 3443393
856 4 0 $u https://doi.org/10.1007/978-981-19-1434-8
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)