Intelligent computing and block chai...
BenchCouncil Federated Intelligent Computing and Block Chain Conferences (2020 :)

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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 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Intelligent computing and block chain/ edited by Wanling Gao ... [et al.].
    Reminder of title: first BenchCouncil International Federated Conferences, FICC 2020, Qingdao, China, October 30 - November 3, 2020 : revised selected papers /
    remainder title: FICC 2020
    other author: Gao, Wanling.
    corporate name: BenchCouncil Federated Intelligent Computing and Block Chain Conferences
    Published: Singapore :Springer Singapore : : 2021.,
    Description: xvi, 508 p. :ill., digital ;24 cm.
    [NT 15003449]: 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.
    Contained By: Springer Nature eBook
    Subject: Artificial intelligence - Congresses. -
    Online resource: https://doi.org/10.1007/978-981-16-1160-5
    ISBN: 9789811611605
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