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

Proceedings of the 22nd Engineering ...

EANN (Conference) (2021 :)

Linked to FindBook

Google Book

Amazon

博客來

Proceedings of the 22nd Engineering Applications of Neural Networks Conference = EANN 2021 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of the 22nd Engineering Applications of Neural Networks Conference/ edited by Lazaros Iliadis ... [et al.].
Reminder of title:	EANN 2021 /
remainder title:	EANN 2021
other author:	Iliadis, Lazaros.
corporate name:	EANN (Conference)
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xliii, 521 p. :ill., digital ;24 cm.
[NT 15003449]:	Automatic Facial Expression Neutralisation Using Generative Adversarial Network -- Creating Ensembles of Generative Adversarial Network Discriminators for One-class Classification -- A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection -- Anomaly Detection by Robust Feature Reconstruction -- Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia -- Deep learning topology-preserving EEG-based images for autism detection in infants -- Improving the Diagnosis of Breast Cancer by Combining Visual and Semantic Feature Descriptors -- Liver cancer trait detection and classification through Machine Learning on smart mobile devices.
Contained By:	Springer Nature eBook
Subject:	Neural networks (Computer science) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-80568-5
ISBN:	9783030805685

Proceedings of the 22nd Engineering Applications of Neural Networks Conference = EANN 2021 /
Proceedings of the 22nd Engineering Applications of Neural Networks ConferenceEANN 2021 /[electronic resource] :EANN 2021edited by Lazaros Iliadis ... [et al.]. - Cham :Springer International Publishing :2021. - xliii, 521 p. :ill., digital ;24 cm. - Proceedings of the international neural networks society,v.32661-8141 ;. - Proceedings of the international neural networks society ;v.3..

Automatic Facial Expression Neutralisation Using Generative Adversarial Network -- Creating Ensembles of Generative Adversarial Network Discriminators for One-class Classification -- A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection -- Anomaly Detection by Robust Feature Reconstruction -- Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia -- Deep learning topology-preserving EEG-based images for autism detection in infants -- Improving the Diagnosis of Breast Cancer by Combining Visual and Semantic Feature Descriptors -- Liver cancer trait detection and classification through Machine Learning on smart mobile devices.

This book contains the proceedings of the 22nd EANN "Engineering Applications of Neural Networks" 2021 that comprise of research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed research areas, emphasis is given in advances of machine learning (ML) focusing on the following algorithms-approaches: Augmented ML, autoencoders, adversarial neural networks, blockchain-adaptive methods, convolutional neural networks, deep learning, ensemble methods, learning-federated learning, neural networks, recurrent - long short-term memory. The application domains are related to: Anomaly detection, bio-medical AI, cyber-security, data fusion, e-learning, emotion recognition, environment, hyperspectral imaging, fraud detection, image analysis, inverse kinematics, machine vision, natural language, recommendation systems, robotics, sentiment analysis, simulation, stock market prediction.

ISBN: 9783030805685

Standard No.: 10.1007/978-3-030-80568-5doiSubjects--Topical Terms:

582186
Neural networks (Computer science)
--Congresses.

LC Class. No.: QA76.87 / .E36 2021

Dewey Class. No.: 006.32

Proceedings of the 22nd Engineering Applications of Neural Networks Conference = EANN 2021 /
LDR:02801nmm a2200349 a 4500 001 2244742
003 DE-He213
005 20210708131358.0
006 m d
007 cr nn 008maaau
008 211207s2021 sz s 0 eng d
020 $a 9783030805685 $q (electronic bk.)
020 $a 9783030805678 $q (paper)
024 7 $a 10.1007/978-3-030-80568-5 $2 doi
035 $a 978-3-030-80568-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.87 $b .E36 2021
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.32 $2 23
090 $a QA76.87 $b .E12 2021
111 2 $a EANN (Conference) $n (22nd : $d 2021 : $c Crete, Greece) $3 3505893
245 1 0 $a Proceedings of the 22nd Engineering Applications of Neural Networks Conference $h [electronic resource] : $b EANN 2021 / $c edited by Lazaros Iliadis ... [et al.].
246 3 $a EANN 2021
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xliii, 521 p. : $b ill., digital ; $c 24 cm.
490 1 $a Proceedings of the international neural networks society, $x 2661-8141 ; $v v.3
505 0 $a Automatic Facial Expression Neutralisation Using Generative Adversarial Network -- Creating Ensembles of Generative Adversarial Network Discriminators for One-class Classification -- A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection -- Anomaly Detection by Robust Feature Reconstruction -- Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia -- Deep learning topology-preserving EEG-based images for autism detection in infants -- Improving the Diagnosis of Breast Cancer by Combining Visual and Semantic Feature Descriptors -- Liver cancer trait detection and classification through Machine Learning on smart mobile devices.
520 $a This book contains the proceedings of the 22nd EANN "Engineering Applications of Neural Networks" 2021 that comprise of research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed research areas, emphasis is given in advances of machine learning (ML) focusing on the following algorithms-approaches: Augmented ML, autoencoders, adversarial neural networks, blockchain-adaptive methods, convolutional neural networks, deep learning, ensemble methods, learning-federated learning, neural networks, recurrent - long short-term memory. The application domains are related to: Anomaly detection, bio-medical AI, cyber-security, data fusion, e-learning, emotion recognition, environment, hyperspectral imaging, fraud detection, image analysis, inverse kinematics, machine vision, natural language, recommendation systems, robotics, sentiment analysis, simulation, stock market prediction.
650 0 $a Neural networks (Computer science) $x Congresses. $3 582186
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Data Engineering. $3 3409361
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Iliadis, Lazaros. $3 1620594
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Proceedings of the international neural networks society ; $v v.3. $3 3505894
856 4 0 $u https://doi.org/10.1007/978-3-030-80568-5
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)