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Intelligent Computing and Block Chain : First BenchCouncil International Federated Conferences, FICC 2020, Qingdao, China, October 30 - November 3, 2020, Revised Selected Papers / edited by Wanling Gao, Kai Hwang, Changyun Wang , Weiping Li, Zhigang Qiu, Lei Wang, Aoying Zhou, Weining Qian, Cheqing Jin, Zhifei Zhang.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Gao, Wanling, Editor.
Hwang, Kai, Editor.
Wang , Changyun., Editor.
Li, Weiping, Editor.
Qiu, Zhigang, Editor.
Wang, Lei, Editor.
Zhou, Aoying., Editor.
Qian, Weining., Editor.
Jin, Cheqing, Editor.
Zhang, Zhifei, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Communications in computer and information science 1865-0937 ; 1385
Communications in Computer and Information Science, 1865-0937 ; 1385
Language:
English
Subjects (All):
Artificial intelligence.
Blockchains (Databases).
Database management.
Machine learning.
Artificial Intelligence.
Blockchain.
Database Management System.
Machine Learning.
Local Subjects:
Artificial Intelligence.
Blockchain.
Database Management System.
Machine Learning.
Physical Description:
1 online resource (XVI, 508 pages) : 196 illustrations, 140 illustrations in color.
Edition:
1st ed. 2021.
Contained In:
Springer Nature eBook
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
System Details:
text file PDF
Summary:
This book constitutes the refereed post-conference proceedings of the Second BenchCouncil International Federated Intelligent Computing and Block Chain Conferences, FICC 2020, held in Qingdao, China, in October/ November 2020. The 32 full papers and 6 short papers presented were carefully reviewed and selected from 103 submissions. The papers of this volume are organized in topical sections on AI and medical technology; AI and big data; AI and block chain; AI and education technology; and AI and financial technology.
Contents:
AI and Medical Technology
BLU-GAN: Bi-Directional ConvLSTM U-Net with Generative Adversarial Training for Retinal Vessel Segmentation
Choroidal Neovascularization Segmentation Based on 3D CNN with Cross Convolution Module
Task-Free Recovery and Spatial Characterization of a Globally Synchronized Network from Resting-State EEG
PRU-net: an U-net model with pyramid pooling and residual block for WMH segmentation
Two-way Perceived Color Difference Saliency Algorithm for Image Segmentation of Port Wine Stains
A new pathway to explore reliable biomarkers by detecting typical patients with mental disorders
Activities Prediction of Drug Molecules by Using Automated Model Building with Descriptor Selection
Survival Prediction of Glioma Tumors Using Feature Selection and Linear Regression
AI and Big Data
Root Cause Localization from Performance Monitoring Metrics Data with Multidimensional Attributes
A Performance Benchmark for Stream Data Storage Systems
Failure Characterization based on LSTM Networks for Bluegene/L System Logs
Trac Crowd Congested Scene Recognition Based on Dilated Convolution Network
Failure Prediction for Large-Scale Clusters Logs via Mining Frequent Patterns
FLBench: An Isolated Data Island Benchmark Suite for Federated Learning
Fake news detection using knowledge vector
A reconfigurable electrical circuit auto-processing method for direct electromagnetic inversion
Implementing Natural Language Processes to Natural Language Programming
AI and Block Chain
LSO: A Dynamic and Scalable Blockchain Structuring Framework
CISV: A Cross-Blockchain Information Synchronization and Verification Mode
A Formal Process Virtual Machine for EOS-based Smart Contract Security Verification
AVEI: A Scientific Data Sharing Framework Based on Blockchain
SCT-CC: A Supply Chain Traceability System Based on Cross-chain Technology of Blockchain
Game-Theoretic Analysis on CBDC Adoption
Design of experiment management system for stability control system based on blockchain technology
A Cross-chain Gateway for Efficient Supply Chain Data Management
AI and Education Technology
Automatic essay scoring model based on multi-channel CNN and LSTM
Research on Knowledge Graph in Education Field from the Perspective of Knowledge Graph
Course Evaluation Analysis Based on Data Mining and AHP: A case study of Python courses on MOOC of Chinese universities
Process-oriented definition of evaluation indicators, learning behavior collection and analysis: A case study
The reform and construction of computer essential courses in New Liberal Arts aiming at improving Data Literacy
Entity Coreference Resolution for Syllabus via Graph Neural Network
An Exploration of the Ecosystem of General Education in Programming
The New Theory of Learning in the Era of Educational Information 2.0Connected Constructivism
AI and Financial Technology
A Stock Index Prediction Method and Trading Strategy Based on the Combination of Lasso-Grid Search-Random Forest
Dynamic Copula Analysis of the Effect of COVID-19 Pandemic on Global Banking Systemic Risk
Real-Time Order Scheduling in Credit Factories: A Multi-Agent Reinforcement Learning Approach
Predicting Digital Currency Price Using Broad Learning System and Genetic Algorithm
Selective Multi-source Transfer Learning with Wasserstein Domain Distance for Financial Fraud Detection.
Other Format:
Printed edition:
ISBN:
978-981-16-1160-5
9789811611605
Access Restriction:
Restricted for use by site license.

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