My Account Log in

1 option

Advances in Intelligent Data Analysis and Applications : Proceedings of the 8th Euro–China Conference on Intelligent Data Analysis and Applications, December 07–09, 2024, Xiamen, China, Volume 1 / edited by Chien-Ming Chen, Václav Snášel, Tien-Wen Sung, Jeng-Shyang Pan.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

View online
Format:
Book
Author/Creator:
Chen, Chien-Ming.
Series:
Smart Innovation, Systems and Technologies, 2190-3026 ; 444
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Signal processing.
Computer networks--Security measures.
Computer networks.
Computational Intelligence.
Artificial Intelligence.
Signal, Speech and Image Processing.
Mobile and Network Security.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Signal, Speech and Image Processing.
Mobile and Network Security.
Physical Description:
1 online resource (578 pages)
Edition:
1st ed. 2026.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
Summary:
The book is a collection of high-quality research papers presented at 8th Euro-China Conference on Intelligent Data Analysis and Applications, hosted by Minnan Science and Technology College, China and technically co-sponsored by Nanjing University of Information Science and Technology, China. The book covers areas like intelligent data analysis, computational intelligences, signal processing, and all associated applications of artificial intelligence.
Contents:
Logistics Management in Power Supply and Utilization Technology System Optimization and Efficiency Improvement
The application of automation technology in China's tobacco logistics
Design of inteligent electrical power inspection robot’s target detection system
Lightweight underwater image enhancement network based on adaptive feature fusion
Guilded Outlier Removal Via Convolution Self Attention Fusion
Application of a Lightweight ResNet-CNN Integrated Model in CT Classification of Lung Cancer
SCFNet Spatial and Channel-wise Feature Enhancement for Two-View Correspondence Learning
Leveraging AlexNet and Histogram of Oriented Gradients for Alzheimer’s Disease Diagnosis.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9672-73-2
9789819672738
OCLC:
1564376317

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account