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 (Herausgeber)

Buch | Softcover

546 Seiten

2022 | 1st ed. 2022
Springer Verlag, Singapore
978-981-19-6141-0 (ISBN)

Artikel merken

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 theirindustrial 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).

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.

Erscheinungsdatum	26.10.2022
Reihe/Serie	Communications in Computer and Information Science ; 1637
Zusatzinfo	153 Illustrations, color; 62 Illustrations, black and white; XX, 546 p. 215 illus., 153 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Analysis
Schlagworte	Applications • Computer Science • conference proceedings • Informatics • Research
ISBN-10	981-19-6141-7 / 9811961417
ISBN-13	978-981-19-6141-0 / 9789811961410
Zustand	Neuware