語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Next-generation wireless networks me...
~
Comsa, Ioan-Sorin, (1984-)
Next-generation wireless networks meet advanced machine learning applications
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Next-generation wireless networks meet advanced machine learning applicationsIoan-Sorin Comsa and Ramona Trestian, editors.
其他作者:
Comsa, Ioan-Sorin,
出版者:
Hershey, Pennsylvania :IGI Global,[2019]
面頁冊數:
1 online resource (xxii, 356 p.)
標題:
Cognitive radio networks.
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7458-3
ISBN:
9781522574590 (e-book)
Next-generation wireless networks meet advanced machine learning applications
Next-generation wireless networks meet advanced machine learning applications
[electronic resource] /Ioan-Sorin Comsa and Ramona Trestian, editors. - Hershey, Pennsylvania :IGI Global,[2019] - 1 online resource (xxii, 356 p.)
Includes bibliographical references and index.
Section 1. Machine learning evolution for wireless communications. Chapter 1. The role and applications of machine learning in future self-organizing cellular networks ; Chapter 2. Machine learning in radio resource scheduling ; Chapter 3. Machine learning for internet of things ; Chapter 4. A survey on routing protocols of wireless sensor networks: a reliable data transfer using multiple sink for disaster management ; Chapter 5. Review: effective solutions for challenges in cognitive radio networks ; Chapter 6. Overview of machine learning approaches for wireless communication ; Chapter 7. Machine learning in wireless communication: a Survey -- Section 2. Machine learning and artificial intelligence applications. Chapter 8. Guaranteeing user rates with reinforcement learning in 5g radio access networks ; Chapter 9. Online learning and heuristic algorithms for 5g cloud-RAN load balance ; Chapter 10. Machine learning-based subjective quality estimation for video streaming over wireless networks ; Chapter 11. Adaptive principal component analysis-based outliers detection through neighborhood voting in wireless sensor networks ; Chapter 12. Intelligent tracking and positioning of targets using passive sensing systems ; Chapter 13. Cheerbot: a step ahead of conventional chatbot.
Restricted to subscribers or individual electronic text purchasers.
"This book explores the latest trends in various technologies of next generation wireless networks. It looks into the use of machine learning techniques to model various technical problems of next-generation systems that will enable the dynamic optimization of system configuration"--Provided by publisher.
ISBN: 9781522574590 (e-book)Subjects--Topical Terms:
338667
Cognitive radio networks.
LC Class. No.: TK5103.4815 / .N49 2019e
Dewey Class. No.: 006.3/1
Next-generation wireless networks meet advanced machine learning applications
LDR
:02615nmm a2200277 a 4500
001
559969
003
IGIG
005
20191025150508.0
006
m o d
007
cr cn
008
200109s2019 pau fob 001 0 eng d
010
$z
2018028321
020
$a
9781522574590 (e-book)
020
$a
9781522574583 (hardback)
035
$a
(OCoLC)1083341823
035
$a
1081021116
040
$a
CaBNVSL
$b
eng
$c
CaBNVSL
$d
CaBNVSL
050
0 0
$a
TK5103.4815
$b
.N49 2019e
082
0 0
$a
006.3/1
$2
23
245
0 0
$a
Next-generation wireless networks meet advanced machine learning applications
$h
[electronic resource] /
$c
Ioan-Sorin Comsa and Ramona Trestian, editors.
260
$a
Hershey, Pennsylvania :
$b
IGI Global,
$c
[2019]
300
$a
1 online resource (xxii, 356 p.)
504
$a
Includes bibliographical references and index.
505
0
$a
Section 1. Machine learning evolution for wireless communications. Chapter 1. The role and applications of machine learning in future self-organizing cellular networks ; Chapter 2. Machine learning in radio resource scheduling ; Chapter 3. Machine learning for internet of things ; Chapter 4. A survey on routing protocols of wireless sensor networks: a reliable data transfer using multiple sink for disaster management ; Chapter 5. Review: effective solutions for challenges in cognitive radio networks ; Chapter 6. Overview of machine learning approaches for wireless communication ; Chapter 7. Machine learning in wireless communication: a Survey -- Section 2. Machine learning and artificial intelligence applications. Chapter 8. Guaranteeing user rates with reinforcement learning in 5g radio access networks ; Chapter 9. Online learning and heuristic algorithms for 5g cloud-RAN load balance ; Chapter 10. Machine learning-based subjective quality estimation for video streaming over wireless networks ; Chapter 11. Adaptive principal component analysis-based outliers detection through neighborhood voting in wireless sensor networks ; Chapter 12. Intelligent tracking and positioning of targets using passive sensing systems ; Chapter 13. Cheerbot: a step ahead of conventional chatbot.
506
$a
Restricted to subscribers or individual electronic text purchasers.
520
3
$a
"This book explores the latest trends in various technologies of next generation wireless networks. It looks into the use of machine learning techniques to model various technical problems of next-generation systems that will enable the dynamic optimization of system configuration"--Provided by publisher.
650
0
$a
Cognitive radio networks.
$3
338667
650
0
$a
Wireless communication systems
$x
Automatic control.
$3
843410
650
0
$a
Self-organizing systems.
$3
189005
650
0
$a
Machine learning.
$3
188639
700
1
$a
Comsa, Ioan-Sorin,
$d
1984-
$e
editor.
$3
843409
700
1
$a
Trestian, Ramona,
$d
1983-
$3
582101
856
4 0
$u
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7458-3
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000172040
電子館藏
1圖書
電子書
EB TK5103.4815 .N49 2019 [2019]
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7458-3
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入