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

切換: 標籤 | MARC模式 | ISBD

Modeling, computing and data handlin...

Konstantopoulos, Charalampos.

FindBook

Google Book

Amazon

博客來

Modeling, computing and data handling methodologies for maritime transportation

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling, computing and data handling methodologies for maritime transportation/ edited by Charalampos Konstantopoulos, Grammati Pantziou.
其他作者:	Konstantopoulos, Charalampos.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xxiii, 206 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Shipping - Information technology. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-61801-2
ISBN:	9783319618012

Modeling, computing and data handling methodologies for maritime transportation
Modeling, computing and data handling methodologies for maritime transportation[electronic resource] /edited by Charalampos Konstantopoulos, Grammati Pantziou. - Cham :Springer International Publishing :2018. - xxiii, 206 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1311868-4394 ;. - Intelligent systems reference library ;v.131..

This book is one of very few in the maritime literature that solely focus on the latest developments in information technology (IT) methodologies in this field. It provides the reader with a concise overview of how IT can truly improve the efficacy of operations in the maritime industry. It consists of seven chapters that address a range of topics related to the synergy between Computer Science and Maritime Science. Specifically, Chapters 1 and 2 explore two important problems in maritime logistics pertaining to quayside operational planning, while Chapters 3 and 4 focus on maritime routing methodologies. Chapters 5 and 6 present decision-making support systems for safe shipping and port security. Last, Chapter 7 presents simulation methodologies for modeling maritime traffic. The intended readership of the book spans both an academic audience and professionals in the areas of Operational Research, Transportation Science, and Maritime Science interested in applying IT methodologies in their areas of expertise.

ISBN: 9783319618012

Standard No.: 10.1007/978-3-319-61801-2doiSubjects--Topical Terms:

3296493
Shipping
--Information technology.

LC Class. No.: T58.5

Dewey Class. No.: 004

Modeling, computing and data handling methodologies for maritime transportation
LDR:02062nmm a2200313 a 4500 001 2131197
003 DE-He213
005 20180601154509.0
006 m d
007 cr nn 008maaau
008 181005s2018 gw s 0 eng d
020 $a 9783319618012 $q (electronic bk.)
020 $a 9783319618005 $q (paper)
024 7 $a 10.1007/978-3-319-61801-2 $2 doi
035 $a 978-3-319-61801-2
040 $a GP $c GP
041 0 $a eng
050 4 $a T58.5
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 004 $2 23
090 $a T58.5 $b .M689 2018
245 0 0 $a Modeling, computing and data handling methodologies for maritime transportation $h [electronic resource] / $c edited by Charalampos Konstantopoulos, Grammati Pantziou.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xxiii, 206 p. : $b ill., digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.131
520 $a This book is one of very few in the maritime literature that solely focus on the latest developments in information technology (IT) methodologies in this field. It provides the reader with a concise overview of how IT can truly improve the efficacy of operations in the maritime industry. It consists of seven chapters that address a range of topics related to the synergy between Computer Science and Maritime Science. Specifically, Chapters 1 and 2 explore two important problems in maritime logistics pertaining to quayside operational planning, while Chapters 3 and 4 focus on maritime routing methodologies. Chapters 5 and 6 present decision-making support systems for safe shipping and port security. Last, Chapter 7 presents simulation methodologies for modeling maritime traffic. The intended readership of the book spans both an academic audience and professionals in the areas of Operational Research, Transportation Science, and Maritime Science interested in applying IT methodologies in their areas of expertise.
650 0 $a Shipping $x Information technology. $3 3296493
650 0 $a Shipping $x Data processing. $3 3296494
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Transportation Technology and Traffic Engineering. $3 2153276
700 1 $a Konstantopoulos, Charalampos. $3 3296491
700 1 $a Pantziou, Grammati. $3 2162522
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Intelligent systems reference library ; $v v.131. $3 3296492
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-61801-2
950 $a Engineering (Springer-11647)