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

Machine learning, deep learning and ...

Gopi, E. S.

Linked to FindBook

Google Book

Amazon

博客來

Machine learning, deep learning and computational intelligence for wireless communication = proceedings of MDCWC 2020 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning, deep learning and computational intelligence for wireless communication/ edited by E. S. Gopi.
Reminder of title:	proceedings of MDCWC 2020 /
remainder title:	MDCWC 2020
other author:	Gopi, E. S.
corporate name:	MDCWC (Conference)
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xix, 643 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Deep Learning to Predict the Number of Antennas in a Massive MIMO Setup based on Channel Characteristics -- Optimal Design of Fractional Order PID Controller for AVR System using Black Widow Optimization (BWO) Algorithm -- LSTM Network for Hotspot Prediction in Traffic Density of Cellular Network -- Generative Adversarial Network and Reinforcement Learning to Estimate Channel Coefficients -- Self-Interference Cancellation in Full-duplex Radios for 5G Wireless Technology using Neural Network -- Dimensionality Reduction of KDD-99 using Self-perpetuating Algorithm -- Energy Efficient Neigbour Discovery using Bacterial Foraging Optimization (BFO) Technique for Asynchronous Wireless Sensor Networks -- LSTM based Outlier Detection Method for WSNs -- An Improved Swarm Optimization Algorithm based Harmonics Estimation and Optimal Switching Angle Identification -- A Study of Ensemble Methods for Classification.
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-16-0289-4
ISBN:	9789811602894

Machine learning, deep learning and computational intelligence for wireless communication = proceedings of MDCWC 2020 /
Machine learning, deep learning and computational intelligence for wireless communicationproceedings of MDCWC 2020 /[electronic resource] :MDCWC 2020edited by E. S. Gopi. - Singapore :Springer Singapore :2021. - xix, 643 p. :ill. (some col.), digital ;24 cm. - Lecture notes in electrical engineering,v.7491876-1100 ;. - Lecture notes in electrical engineering ;v.749..

Deep Learning to Predict the Number of Antennas in a Massive MIMO Setup based on Channel Characteristics -- Optimal Design of Fractional Order PID Controller for AVR System using Black Widow Optimization (BWO) Algorithm -- LSTM Network for Hotspot Prediction in Traffic Density of Cellular Network -- Generative Adversarial Network and Reinforcement Learning to Estimate Channel Coefficients -- Self-Interference Cancellation in Full-duplex Radios for 5G Wireless Technology using Neural Network -- Dimensionality Reduction of KDD-99 using Self-perpetuating Algorithm -- Energy Efficient Neigbour Discovery using Bacterial Foraging Optimization (BFO) Technique for Asynchronous Wireless Sensor Networks -- LSTM based Outlier Detection Method for WSNs -- An Improved Swarm Optimization Algorithm based Harmonics Estimation and Optimal Switching Angle Identification -- A Study of Ensemble Methods for Classification.

This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry.

ISBN: 9789811602894

Standard No.: 10.1007/978-981-16-0289-4doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .M33 2020

Dewey Class. No.: 006.31

Machine learning, deep learning and computational intelligence for wireless communication = proceedings of MDCWC 2020 /
LDR:03425nmm a2200349 a 4500 001 2240757
003 DE-He213
005 20210528201812.0
006 m d
007 cr nn 008maaau
008 211111s2021 si s 0 eng d
020 $a 9789811602894 $q (electronic bk.)
020 $a 9789811602887 $q (paper)
024 7 $a 10.1007/978-981-16-0289-4 $2 doi
035 $a 978-981-16-0289-4
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5 $b .M33 2020
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .M478 2020
111 2 $a MDCWC (Conference) $n (1st : $d 2020 : $c Online) $3 3495978
245 1 0 $a Machine learning, deep learning and computational intelligence for wireless communication $h [electronic resource] : $b proceedings of MDCWC 2020 / $c edited by E. S. Gopi.
246 3 $a MDCWC 2020
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xix, 643 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in electrical engineering, $x 1876-1100 ; $v v.749
505 0 $a Deep Learning to Predict the Number of Antennas in a Massive MIMO Setup based on Channel Characteristics -- Optimal Design of Fractional Order PID Controller for AVR System using Black Widow Optimization (BWO) Algorithm -- LSTM Network for Hotspot Prediction in Traffic Density of Cellular Network -- Generative Adversarial Network and Reinforcement Learning to Estimate Channel Coefficients -- Self-Interference Cancellation in Full-duplex Radios for 5G Wireless Technology using Neural Network -- Dimensionality Reduction of KDD-99 using Self-perpetuating Algorithm -- Energy Efficient Neigbour Discovery using Bacterial Foraging Optimization (BFO) Technique for Asynchronous Wireless Sensor Networks -- LSTM based Outlier Detection Method for WSNs -- An Improved Swarm Optimization Algorithm based Harmonics Estimation and Optimal Switching Angle Identification -- A Study of Ensemble Methods for Classification.
520 $a This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry.
650 0 $a Machine learning $x Congresses. $3 576368
650 0 $a Computational intelligence $x Congresses. $3 704428
650 0 $a Wireless communication systems $x Congresses. $3 660078
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Wireless and Mobile Communication. $3 3338159
650 2 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Computer Communication Networks. $3 775497
700 1 $a Gopi, E. S. $3 1067513
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in electrical engineering ; $v v.749. $3 3495979
856 4 0 $u https://doi.org/10.1007/978-981-16-0289-4
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)