國立虎尾科技大學 |

Machine Learning Modeling for IoUT Networks = Internet of Underwater Things /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine Learning Modeling for IoUT Networks/ by Ahmad A. Aziz El-Banna, Kaishun Wu.
其他題名:	Internet of Underwater Things /
作者:	Aziz El-Banna, Ahmad A.
其他作者:	Wu, Kaishun.
面頁冊數:	XII, 63 p. 32 illus., 24 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-68567-6
ISBN:	9783030685676

Machine Learning Modeling for IoUT Networks = Internet of Underwater Things /
Aziz El-Banna, Ahmad A.

Machine Learning Modeling for IoUT NetworksInternet of Underwater Things /[electronic resource] :by Ahmad A. Aziz El-Banna, Kaishun Wu. - 1st ed. 2021. - XII, 63 p. 32 illus., 24 illus. in color.online resource. - SpringerBriefs in Computer Science,2191-5776. - SpringerBriefs in Computer Science,.

Introduction -- Seawater’s Key Physical Variables -- Opportunistic Transmission -- Localization and Positioning -- ML Modeling for Underwater Communication -- Open Challenges -- Conclusion.

This book discusses how machine learning and the Internet of Things (IoT) are playing a part in smart control of underwater environments, known as Internet of Underwater Things (IoUT). The authors first present seawater’s key physical variables and go on to discuss opportunistic transmission, localization and positioning, machine learning modeling for underwater communication, and ongoing challenges in the field. In addition, the authors present applications of machine learning techniques for opportunistic communication and underwater localization. They also discuss the current challenges of machine learning modeling of underwater communication from two communication engineering and data science perspectives.

ISBN: 9783030685676

Standard No.: 10.1007/978-3-030-68567-6doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

Machine Learning Modeling for IoUT Networks = Internet of Underwater Things /
LDR:02310nam a22003975i 4500 001 1054963
003 DE-He213
005 20211111193941.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030685676 $9 978-3-030-68567-6
024 7 $a 10.1007/978-3-030-68567-6 $2 doi
035 $a 978-3-030-68567-6
050 4 $a TK1-9971
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 621.382 $2 23
100 1 $a Aziz El-Banna, Ahmad A. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1360102
245 1 0 $a Machine Learning Modeling for IoUT Networks $h [electronic resource] : $b Internet of Underwater Things / $c by Ahmad A. Aziz El-Banna, Kaishun Wu.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XII, 63 p. 32 illus., 24 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 SpringerBriefs in Computer Science, $x 2191-5776
505 0 $a Introduction -- Seawater’s Key Physical Variables -- Opportunistic Transmission -- Localization and Positioning -- ML Modeling for Underwater Communication -- Open Challenges -- Conclusion.
520 $a This book discusses how machine learning and the Internet of Things (IoT) are playing a part in smart control of underwater environments, known as Internet of Underwater Things (IoUT). The authors first present seawater’s key physical variables and go on to discuss opportunistic transmission, localization and positioning, machine learning modeling for underwater communication, and ongoing challenges in the field. In addition, the authors present applications of machine learning techniques for opportunistic communication and underwater localization. They also discuss the current challenges of machine learning modeling of underwater communication from two communication engineering and data science perspectives.
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Control, Robotics, Mechatronics. $3 768396
650 1 4 $a Communications Engineering, Networks. $3 669809
650 0 $a Artificial intelligence. $3 559380
650 0 $a Mechatronics. $3 559133
650 0 $a Robotics. $3 561941
650 0 $a Control engineering. $3 1249728
650 0 $a Electrical engineering. $3 596380
700 1 $a Wu, Kaishun. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1024781
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030685669
776 0 8 $i Printed edition: $z 9783030685683
830 0 $a SpringerBriefs in Computer Science, $x 2191-5768 $3 1255334
856 4 0 $u https://doi.org/10.1007/978-3-030-68567-6
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)