東華大學圖書館 |

New trends in disruptive technologies, tech ethics and artificial intelligence = the DITTET 2023 collection /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	New trends in disruptive technologies, tech ethics and artificial intelligence/ edited by Daniel H. de la Iglesia, Juan F. de Paz Santana, Alfonso J. Lopez Rivero.
其他題名:	the DITTET 2023 collection /
其他題名:	DITTET 2023
其他作者:	De la Iglesia, Daniel H.
團體作者:	DITTET (Conference)
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	xvi, 362 p. :ill. (chiefly color), digital ;24 cm.
內容註:	Application of search algorithm in research of sEMG in swallowing disorders -- Predictive Maintenance of Mechanical systems using Data Analytics -- Development of web application firewall based on artificial intelligence -- Age Analysis with Convolutional Neural Networks -- Comparing Supervised and Unsupervised Machine Learning Techniques to Decision Support Systems in Healthcare -- Machine Learning for Automatic Weather Stations: A Case Study -- LIPTracker - People detection system based on their devices -- Smart electronic Nose: an empirical evaluation of new multi-channel gas sensors for smell classification -- Scalable and Energy-Efficient Deep Learning for Distributed AIoT Applications Using Modular Cognitive IoT Hardware -- An IoT-Based Framework for Monitoring Photovoltaic Batteries -- Spearmint: A Decentralized Solution for Recording Evidence of Cyberbullying -- Synonym-substitution algorithms for enrich the Agrovoc vocabulary -- Exploring OpenStack for Scalable and Cost-Effective Virtualization in Education -- Analysis of surface electromyography devices applied to swallowing disorders. A Systematic Review -- An IoT-enabled Framework for Efficient Water Management in Agriculture -- Integrating Weather and Orography Information in Trip Planning Systems for Heavy Goods Vehicles -- Is blockchain a disruptive innovation? A systematic literature review -- Exploring the Potential of Mixed Reality as a Support Tool for Industrial Training and Production Processes: A Case Study Utilizing Microsoft HoloLens -- Platform for tele-rehabilitation of balance disorder and motork skills -- A Framework to Optimize Waste Containers Collection Enabled by an ARIMA Model and IoT Data.
Contained By:	Springer Nature eBook
標題:	Disruptive technologies - Congresses. - Moral and ethical aspects -
電子資源:	https://doi.org/10.1007/978-3-031-38344-1
ISBN:	9783031383441

New trends in disruptive technologies, tech ethics and artificial intelligence = the DITTET 2023 collection /
New trends in disruptive technologies, tech ethics and artificial intelligencethe DITTET 2023 collection /[electronic resource] :DITTET 2023edited by Daniel H. de la Iglesia, Juan F. de Paz Santana, Alfonso J. Lopez Rivero. - Cham :Springer Nature Switzerland :2023. - xvi, 362 p. :ill. (chiefly color), digital ;24 cm. - Advances in intelligent systems and computing,v. 14522194-5365 ;. - Advances in intelligent systems and computing ;v. 1452..

Application of search algorithm in research of sEMG in swallowing disorders -- Predictive Maintenance of Mechanical systems using Data Analytics -- Development of web application firewall based on artificial intelligence -- Age Analysis with Convolutional Neural Networks -- Comparing Supervised and Unsupervised Machine Learning Techniques to Decision Support Systems in Healthcare -- Machine Learning for Automatic Weather Stations: A Case Study -- LIPTracker - People detection system based on their devices -- Smart electronic Nose: an empirical evaluation of new multi-channel gas sensors for smell classification -- Scalable and Energy-Efficient Deep Learning for Distributed AIoT Applications Using Modular Cognitive IoT Hardware -- An IoT-Based Framework for Monitoring Photovoltaic Batteries -- Spearmint: A Decentralized Solution for Recording Evidence of Cyberbullying -- Synonym-substitution algorithms for enrich the Agrovoc vocabulary -- Exploring OpenStack for Scalable and Cost-Effective Virtualization in Education -- Analysis of surface electromyography devices applied to swallowing disorders. A Systematic Review -- An IoT-enabled Framework for Efficient Water Management in Agriculture -- Integrating Weather and Orography Information in Trip Planning Systems for Heavy Goods Vehicles -- Is blockchain a disruptive innovation? A systematic literature review -- Exploring the Potential of Mixed Reality as a Support Tool for Industrial Training and Production Processes: A Case Study Utilizing Microsoft HoloLens -- Platform for tele-rehabilitation of balance disorder and motork skills -- A Framework to Optimize Waste Containers Collection Enabled by an ARIMA Model and IoT Data.

This book offers the evidence-based insights into the ethical considerations surrounding disruptive technologies. In the rapidly evolving landscape of technology, where breakthroughs in artificial intelligence, big data, the Internet of Things, and bioinformatics have revolutionized our world, a critical need arises to reassess our ethical frameworks. This need has given birth to the thriving field of technology ethics, or tech ethics, which has grown exponentially in recent years. Once a niche area of research, it now encompasses a multitude of technology experts dedicated to understanding the societal impact of these advancements and striving for the development of more ethically grounded technology. At the forefront of this movement stands the International Conference on Disruptive Technologies, Tech Ethics, and Artificial Intelligence (DITTET 2023) Serving as a paramount platform for scholars, professionals, and experts, this conference presents an unparalleled opportunity to explore the latest scientific and technical progress and its profound ethical implications. DITTET facilitates the exchange of cutting-edge research on disruptive technologies, fostering knowledge transfer and collaboration among interdisciplinary fields. DITTET 2023 aspires to bring together a diverse range of industry leaders, humanists, and academics, providing a comprehensive overview of the scientific advancements and applications of artificial intelligence while examining their ethical dimensions in areas such as climate change, politics, economy, and security. By delving into these crucial topics, the conference aims to unravel the intricate relationship between technology and ethics, paving the way for responsible and conscientious innovation in today's world.

ISBN: 9783031383441

Standard No.: 10.1007/978-3-031-38344-1doiSubjects--Topical Terms:

3590802
Disruptive technologies
--Moral and ethical aspects--Congresses.

LC Class. No.: Q334 / .D58 2023

Dewey Class. No.: 006.3

New trends in disruptive technologies, tech ethics and artificial intelligence = the DITTET 2023 collection /
LDR:04709nmm a2200349 a 4500 001 2333114
003 DE-He213
005 20230721094755.0
006 m d
007 cr nn 008maaau
008 240402s2023 sz s 0 eng d
020 $a 9783031383441 $q (electronic bk.)
020 $a 9783031383434 $q (paper)
024 7 $a 10.1007/978-3-031-38344-1 $2 doi
035 $a 978-3-031-38344-1
040 $a GP $c GP
041 0 $a eng
050 4 $a Q334 $b .D58 2023
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 Q334 $b .D617 2023
111 2 $a DITTET (Conference) $d (2023) $3 3663613
245 1 0 $a New trends in disruptive technologies, tech ethics and artificial intelligence $h [electronic resource] : $b the DITTET 2023 collection / $c edited by Daniel H. de la Iglesia, Juan F. de Paz Santana, Alfonso J. Lopez Rivero.
246 3 $a DITTET 2023
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a xvi, 362 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Advances in intelligent systems and computing, $x 2194-5365 ; $v v. 1452
505 0 $a Application of search algorithm in research of sEMG in swallowing disorders -- Predictive Maintenance of Mechanical systems using Data Analytics -- Development of web application firewall based on artificial intelligence -- Age Analysis with Convolutional Neural Networks -- Comparing Supervised and Unsupervised Machine Learning Techniques to Decision Support Systems in Healthcare -- Machine Learning for Automatic Weather Stations: A Case Study -- LIPTracker - People detection system based on their devices -- Smart electronic Nose: an empirical evaluation of new multi-channel gas sensors for smell classification -- Scalable and Energy-Efficient Deep Learning for Distributed AIoT Applications Using Modular Cognitive IoT Hardware -- An IoT-Based Framework for Monitoring Photovoltaic Batteries -- Spearmint: A Decentralized Solution for Recording Evidence of Cyberbullying -- Synonym-substitution algorithms for enrich the Agrovoc vocabulary -- Exploring OpenStack for Scalable and Cost-Effective Virtualization in Education -- Analysis of surface electromyography devices applied to swallowing disorders. A Systematic Review -- An IoT-enabled Framework for Efficient Water Management in Agriculture -- Integrating Weather and Orography Information in Trip Planning Systems for Heavy Goods Vehicles -- Is blockchain a disruptive innovation? A systematic literature review -- Exploring the Potential of Mixed Reality as a Support Tool for Industrial Training and Production Processes: A Case Study Utilizing Microsoft HoloLens -- Platform for tele-rehabilitation of balance disorder and motork skills -- A Framework to Optimize Waste Containers Collection Enabled by an ARIMA Model and IoT Data.
520 $a This book offers the evidence-based insights into the ethical considerations surrounding disruptive technologies. In the rapidly evolving landscape of technology, where breakthroughs in artificial intelligence, big data, the Internet of Things, and bioinformatics have revolutionized our world, a critical need arises to reassess our ethical frameworks. This need has given birth to the thriving field of technology ethics, or tech ethics, which has grown exponentially in recent years. Once a niche area of research, it now encompasses a multitude of technology experts dedicated to understanding the societal impact of these advancements and striving for the development of more ethically grounded technology. At the forefront of this movement stands the International Conference on Disruptive Technologies, Tech Ethics, and Artificial Intelligence (DITTET 2023) Serving as a paramount platform for scholars, professionals, and experts, this conference presents an unparalleled opportunity to explore the latest scientific and technical progress and its profound ethical implications. DITTET facilitates the exchange of cutting-edge research on disruptive technologies, fostering knowledge transfer and collaboration among interdisciplinary fields. DITTET 2023 aspires to bring together a diverse range of industry leaders, humanists, and academics, providing a comprehensive overview of the scientific advancements and applications of artificial intelligence while examining their ethical dimensions in areas such as climate change, politics, economy, and security. By delving into these crucial topics, the conference aims to unravel the intricate relationship between technology and ethics, paving the way for responsible and conscientious innovation in today's world.
650 0 $a Disruptive technologies $x Moral and ethical aspects $v Congresses. $3 3590802
650 0 $a Artificial intelligence $x Moral and ethical aspects $v Congresses. $3 3384368
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a De la Iglesia, Daniel H. $3 3663614
700 1 $a De Paz Santana, Juan F. $3 3663615
700 1 $a Lopez Rivero, Alfonso J. $3 3663616
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Advances in intelligent systems and computing ; $v v. 1452. $3 3663617
856 4 0 $u https://doi.org/10.1007/978-3-031-38344-1
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)