Neural computing for advanced applications : third international conference, NCAA 2022, Jinan, China, July 8-10, 2022, proceedings. Part I / Haijun Zhang, Yuehui Chen, Xianghua Chu, Zhao Zhang, Tianyong Hao, Zhou Wu, Yimin Yang (eds.).
International Conference on Neural Computing for Advanced Applications (3rd : 2022 : Jinan, China).; Zhang, Haijun, editor.; Chen, Yuehui, editor.; Chu, Xianghua, editor.; Zhang, Zhao (Computer scientist), editor.; Hao, Tianyong, editor.; Wu, Zhou, editor.; Yang, Yimin, 1965- editor.
2022
QA76.87
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Neural computing for advanced applications : third international conference, NCAA 2022, Jinan, China, July 8-10, 2022, proceedings. Part I / Haijun Zhang, Yuehui Chen, Xianghua Chu, Zhao Zhang, Tianyong Hao, Zhou Wu, Yimin Yang (eds.).
Meeting Name International Conference on Neural Computing for Advanced Applications (3rd : 2022 : Jinan, China).
ISBN 9789811961427 (electronic bk.)
9811961425 (electronic bk.)
9789811961410
9811961417
DOI https://doi.org/10.1007/978-981-19-6142-7
Published Singapore : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource (xx, 546 pages) : illustrations (chiefly color).
Item Number 10.1007/978-981-19-6142-7 doi
Call Number QA76.87
Dewey Decimal Classification 006.3/2
Summary The two-volume Proceedings set CCIS 1637 and 1638 constitutes the refereed proceedings of the Third International Conference on Neural Computing for Advanced Applications, NCAA 2022, held in Jinan, China, during July 8-10, 2022. The 77 papers included in these proceedings were carefully reviewed and selected from 205 submissions. These papers were categorized into 10 technical tracks, i.e., neural network theory, and cognitive sciences, machine learning, data mining, data security & privacy protection, and data-driven applications, computational intelligence, nature-inspired optimizers, and their engineering applications, cloud/edge/fog computing, the Internet of Things/Vehicles (IoT/IoV), and their system optimization, control systems, network synchronization, system integration, and industrial artificial intelligence, fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences, computer vision, image processing, and their industrial applications, natural language processing, machine translation, knowledge graphs, and their applications, Neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modeling, and Spreading dynamics, forecasting, and other intelligent techniques against coronavirus disease (COVID-19).
Note Includes author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed November 3, 2022).
Added Author Zhang, Haijun, editor.
Chen, Yuehui, editor.
Chu, Xianghua, editor.
Zhang, Zhao (Computer scientist), editor.
Hao, Tianyong, editor.
Wu, Zhou, editor.
Yang, Yimin, 1965- editor.
Series Communications in computer and information science ; 1637. 1865-0937
Available in Other Form Print version: 9789811961410
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
TE-BiLSTM: Improved Transformer and BiLSTM on Fraudulent Phone Text Recognition
Cross elitist learning multifactorial evolutionary algorithm
Heterogeneous Adaptive Denoising Networks for Recommendation
Formation Control Optimization via Leader Selection for Rotor Unmanned Aerial Vehicles
Dynamic Monitoring Method Based on Compara-tive Study of Power and Environmental Protection Indicators
Combustion State Recognition Method in Municipal Solid Waste Incineration Process Based on Improved Deep Forest
RPCA-induced Graph Tensor Learning for Incomplete Multi-view Inferring and Clustering
TRUST-TECH Assisted GA-SVM Ensembles and its Applications.

Browse Subjects

Show more subjects...

Statistics

from
to
Export