東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Artificial intelligence, machine lea...

Rassia, Stamatina Th.

Linked to FindBook

Google Book

Amazon

博客來

Artificial intelligence, machine learning, and optimization tools for smart cities = designing for sustainability /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence, machine learning, and optimization tools for smart cities/ edited by Panos M. Pardalos, Stamatina Th. Rassia, Arsenios Tsokas.
Reminder of title:	designing for sustainability /
other author:	Rassia, Stamatina Th.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	viii, 235 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	Cities as Convergent Autopoietic Systems (V. Dobrev) -- Digital 'Vitalism' and its 'Epistemic' Predecessors: 'Smart' Neoteric History and Contemporary Approaches (Moraitis) -- Unbuildable Cities (Th. Rassia) -- Smart Cities as Identities (Tsoniotis) -- A Cross-domain Landscape of ICT Services in Smart Cities (Bunhova) -- A Novel Data Representation Method for Smart Cities' Big Data (N. Nagy) -- A Pedestrian Level Strategy to Minimize Outdoor Sunlight Exposure (X. Li) -- Planning and Management of Charging Facilities for Electric Vehicle Sharing (W. Qi) -- A Reactive Architectural Proposal for Fog/edge Computing in the Internet of Things Paradigm with Application in Deep Learning (Belmonte-Fernandez) -- Urban Big Data: City Management and Real Estate Markets (Saiz) -- Social Media-based Intelligence for Disaster Response and Management in Smart Cities (Khatoon)
Contained By:	Springer Nature eBook
Subject:	Smart cities - Technological innovations. -
Online resource:	https://doi.org/10.1007/978-3-030-84459-2
ISBN:	9783030844592

Artificial intelligence, machine learning, and optimization tools for smart cities = designing for sustainability /
Artificial intelligence, machine learning, and optimization tools for smart citiesdesigning for sustainability /[electronic resource] :edited by Panos M. Pardalos, Stamatina Th. Rassia, Arsenios Tsokas. - Cham :Springer International Publishing :2022. - viii, 235 p. :ill. (chiefly col.), digital ;24 cm. - Springer optimization and its applications,v. 1861931-6836 ;. - Springer optimization and its applications ;v. 186..

Cities as Convergent Autopoietic Systems (V. Dobrev) -- Digital 'Vitalism' and its 'Epistemic' Predecessors: 'Smart' Neoteric History and Contemporary Approaches (Moraitis) -- Unbuildable Cities (Th. Rassia) -- Smart Cities as Identities (Tsoniotis) -- A Cross-domain Landscape of ICT Services in Smart Cities (Bunhova) -- A Novel Data Representation Method for Smart Cities' Big Data (N. Nagy) -- A Pedestrian Level Strategy to Minimize Outdoor Sunlight Exposure (X. Li) -- Planning and Management of Charging Facilities for Electric Vehicle Sharing (W. Qi) -- A Reactive Architectural Proposal for Fog/edge Computing in the Internet of Things Paradigm with Application in Deep Learning (Belmonte-Fernandez) -- Urban Big Data: City Management and Real Estate Markets (Saiz) -- Social Media-based Intelligence for Disaster Response and Management in Smart Cities (Khatoon)

This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which contribute to the optimization of urban features towards forming smart, sustainable, and livable future cities. Special features include: New research on the design of city elements and smart systems with respect to new technologies and scientific thinking Discussions on the theoretical background that lead to smart cities for the future New technologies and principles of research that can promote ideas of artificial intelligence and machine learning in optimized urban environments The book engages students and researchers in the subjects of artificial intelligence, machine learning, and optimization tools in smart sustainable cities as eminent international experts contribute their research results and thinking in its chapters. Overall, its audience can benefit from a variety of disciplines including, architecture, engineering, physics, mathematics, computer science, and related fields.

ISBN: 9783030844592

Standard No.: 10.1007/978-3-030-84459-2doiSubjects--Topical Terms:

3489124
Smart cities
--Technological innovations.

LC Class. No.: TD159.4 / .A78 2022

Dewey Class. No.: 307.760285

Artificial intelligence, machine learning, and optimization tools for smart cities = designing for sustainability /
LDR:03100nmm a2200337 a 4500 001 2297562
003 DE-He213
005 20220109213131.0
006 m d
007 cr nn 008maaau
008 230324s2022 sz s 0 eng d
020 $a 9783030844592 $q (electronic bk.)
020 $a 9783030844585 $q (paper)
024 7 $a 10.1007/978-3-030-84459-2 $2 doi
035 $a 978-3-030-84459-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TD159.4 $b .A78 2022
072 7 $a PBU $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PBU $2 thema
082 0 4 $a 307.760285 $2 23
090 $a TD159.4 $b .A791 2022
245 0 0 $a Artificial intelligence, machine learning, and optimization tools for smart cities $h [electronic resource] : $b designing for sustainability / $c edited by Panos M. Pardalos, Stamatina Th. Rassia, Arsenios Tsokas.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a viii, 235 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Springer optimization and its applications, $x 1931-6836 ; $v v. 186
505 0 $a Cities as Convergent Autopoietic Systems (V. Dobrev) -- Digital 'Vitalism' and its 'Epistemic' Predecessors: 'Smart' Neoteric History and Contemporary Approaches (Moraitis) -- Unbuildable Cities (Th. Rassia) -- Smart Cities as Identities (Tsoniotis) -- A Cross-domain Landscape of ICT Services in Smart Cities (Bunhova) -- A Novel Data Representation Method for Smart Cities' Big Data (N. Nagy) -- A Pedestrian Level Strategy to Minimize Outdoor Sunlight Exposure (X. Li) -- Planning and Management of Charging Facilities for Electric Vehicle Sharing (W. Qi) -- A Reactive Architectural Proposal for Fog/edge Computing in the Internet of Things Paradigm with Application in Deep Learning (Belmonte-Fernandez) -- Urban Big Data: City Management and Real Estate Markets (Saiz) -- Social Media-based Intelligence for Disaster Response and Management in Smart Cities (Khatoon)
520 $a This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which contribute to the optimization of urban features towards forming smart, sustainable, and livable future cities. Special features include: New research on the design of city elements and smart systems with respect to new technologies and scientific thinking Discussions on the theoretical background that lead to smart cities for the future New technologies and principles of research that can promote ideas of artificial intelligence and machine learning in optimized urban environments The book engages students and researchers in the subjects of artificial intelligence, machine learning, and optimization tools in smart sustainable cities as eminent international experts contribute their research results and thinking in its chapters. Overall, its audience can benefit from a variety of disciplines including, architecture, engineering, physics, mathematics, computer science, and related fields.
650 0 $a Smart cities $x Technological innovations. $3 3489124
650 1 4 $a Optimization. $3 891104
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Sustainable Architecture/Green Buildings. $3 3209903
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Rassia, Stamatina Th. $3 1566703
700 1 $a Tsokas, Arsenios. $3 3593342
700 1 $a Pardalos, P. M. $3 3593341
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Springer optimization and its applications ; $v v. 186. $3 3593343
856 4 0 $u https://doi.org/10.1007/978-3-030-84459-2
950 $a Mathematics and Statistics (SpringerNature-11649)