Buch, Englisch, Band 1385, 508 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 785 g
First BenchCouncil International Federated Conferences, FICC 2020, Qingdao, China, October 30 - November 3, 2020, Revised Selected Papers
Buch, Englisch, Band 1385, 508 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 785 g
Reihe: Communications in Computer and Information Science
ISBN: 978-981-16-1159-9
Verlag: Springer Nature Singapore
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.
