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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 / / Wanling Gao [and nine others], editors



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Titolo: Intelligent computing and block chain : first BenchCouncil International Federated Conferences, FICC 2020, Qingdao, China, October 30 - November 3, 2020 : revised selected papers / / Wanling Gao [and nine others], editors Visualizza cluster
Pubblicazione: Singapore : , : Springer, , [2021]
©2021
Edizione: 1st ed. 2021.
Descrizione fisica: 1 online resource (XVI, 508 p. 196 illus., 140 illus. in color.)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Persona (resp. second.): GaoWanling
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Intelligent computing and block chain  Visualizza cluster
ISBN: 981-16-1160-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484818003321
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Serie: Communications in computer and information science ; ; 1385.