Intelligent Computing and Block Chain
First BenchCouncil International Federated Conferences, FICC 2020, Qingdao, China, October 30 - November 3, 2020, Revised Selected Papers
(Sprache: Englisch)
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...
The 32 full papers...
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Klappentext zu „Intelligent Computing and Block Chain “
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.
Inhaltsverzeichnis zu „Intelligent Computing and Block Chain “
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
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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.
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Bibliographische Angaben
- 2021, 1st ed. 2021, XVI, 508 Seiten, 140 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Wanling Gao, Kai Hwang, Changyun Wang, Weiping Li, Zhigang Qiu, Lei Wang, Aoying Zhou, Weining Qian, Cheqing Jin, Zhifei Zhang
- Verlag: Springer, Berlin
- ISBN-10: 9811611599
- ISBN-13: 9789811611599
Sprache:
Englisch
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