語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Modeling, Computing and Data Handlin...
~
Pantziou, Grammati.
Modeling, Computing and Data Handling Methodologies for Maritime Transportation
紀錄類型:
書目-語言資料,印刷品 : 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.
面頁冊數:
XXIII, 206 p. 63 illus., 53 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Computational intelligence. -
電子資源:
https://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. - 1st ed. 2018. - XXIII, 206 p. 63 illus., 53 illus. in color.online resource. - Intelligent Systems Reference Library,1311868-4394 ;. - Intelligent Systems Reference Library,67.
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:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Modeling, Computing and Data Handling Methodologies for Maritime Transportation
LDR
:02473nam a22003975i 4500
001
998833
003
DE-He213
005
20200703092239.0
007
cr nn 008mamaa
008
201225s2018 gw | s |||| 0|eng d
020
$a
9783319618012
$9
978-3-319-61801-2
024
7
$a
10.1007/978-3-319-61801-2
$2
doi
035
$a
978-3-319-61801-2
050
4
$a
Q342
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
245
1 0
$a
Modeling, Computing and Data Handling Methodologies for Maritime Transportation
$h
[electronic resource] /
$c
edited by Charalampos Konstantopoulos, Grammati Pantziou.
250
$a
1st ed. 2018.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2018.
300
$a
XXIII, 206 p. 63 illus., 53 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Intelligent Systems Reference Library,
$x
1868-4394 ;
$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
Computational intelligence.
$3
568984
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Transportation engineering.
$3
633205
650
0
$a
Traffic engineering.
$3
639529
650
1 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Transportation Technology and Traffic Engineering.
$3
1069531
700
1
$a
Konstantopoulos, Charalampos.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1290331
700
1
$a
Pantziou, Grammati.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1069325
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319618005
776
0 8
$i
Printed edition:
$z
9783319618029
776
0 8
$i
Printed edition:
$z
9783319871660
830
0
$a
Intelligent Systems Reference Library,
$x
1868-4394 ;
$v
67
$3
1253823
856
4 0
$u
https://doi.org/10.1007/978-3-319-61801-2
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入