First BenchCouncil International Federated Conferences, FICC 2020, Qingdao, China, October 30 – November 3, 2020, Revised Selected Papers / Gao, Wanling ; Hwang, Kai ; Wang, Changyun ; Li, Weiping ; Qiu, Zhigang ; Wang, Lei ; Zhou, Aoying ; Qian, Weining ; Jin, Cheqing ; Zhang, Zhifei  

Público ISBD Ningún comentario para este título. Título : First BenchCouncil International Federated Conferences, FICC 2020, Qingdao, China, October 30 – November 3, 2020, Revised Selected Papers Tipo de documento: documento electrónico Autores: Gao, Wanling, ; Hwang, Kai, ; Wang, Changyun, ; Li, Weiping, ; Qiu, Zhigang, ; Wang, Lei, ; Zhou, Aoying, ; Qian, Weining, ; Jin, Cheqing, ; Zhang, Zhifei, Mención de edición: 1 ed. Editorial: Singapore [Malasya] : Springer Fecha de publicación: 2021 Número de páginas: XVI, 508 p. 196 ilustraciones, 140 ilustraciones en color. ISBN/ISSN/DL: 978-981-1611605-- Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Aprendizaje automático  Sistema de administración de base de datos  cadena de bloques  Inteligencia artificial  Gestión de base de datos  Cadenas de bloques (Bases de datos) Clasificación: Resumen: Este libro constituye las actas posteriores a la conferencia arbitradas de la Segunda Conferencia Internacional sobre Computación Inteligente Federada y Cadena de Bloques del BenchCouncil, FICC 2020, celebrada en Qingdao, China, en octubre/noviembre de 2020. Los 32 artículos completos y 6 artículos breves presentados fueron cuidadosamente revisados ​​y seleccionado entre 103 presentaciones. Los artículos de este volumen están organizados en secciones temáticas sobre IA y tecnología médica; IA y big data; IA y cadena de bloques; IA y tecnología educativa; e IA y tecnología financiera. Nota de contenido: 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] First BenchCouncil International Federated Conferences, FICC 2020, Qingdao, China, October 30 – November 3, 2020, Revised Selected Papers [documento electrónico] / Gao, Wanling, ; Hwang, Kai, ; Wang, Changyun, ; Li, Weiping, ; Qiu, Zhigang, ; Wang, Lei, ; Zhou, Aoying, ; Qian, Weining, ; Jin, Cheqing, ; Zhang, Zhifei,  . -  1 ed.  . - Singapore [Malasya] : Springer, 2021 . - XVI, 508 p. 196 ilustraciones, 140 ilustraciones en color. ISBN : 978-981-1611605-- Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Aprendizaje automático  Sistema de administración de base de datos  cadena de bloques  Inteligencia artificial  Gestión de base de datos  Cadenas de bloques (Bases de datos) Clasificación: Resumen: Este libro constituye las actas posteriores a la conferencia arbitradas de la Segunda Conferencia Internacional sobre Computación Inteligente Federada y Cadena de Bloques del BenchCouncil, FICC 2020, celebrada en Qingdao, China, en octubre/noviembre de 2020. Los 32 artículos completos y 6 artículos breves presentados fueron cuidadosamente revisados ​​y seleccionado entre 103 presentaciones. Los artículos de este volumen están organizados en secciones temáticas sobre IA y tecnología médica; IA y big data; IA y cadena de bloques; IA y tecnología educativa; e IA y tecnología financiera. Nota de contenido: 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

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