Details

Subject(s)

• Artificial intelligence [Browse]

Editor

• Kacprzyk, Janusz [Browse]
• Balas, Valentina E. [Browse]
• Ezziyyani, Mostafa [Browse]

Series

• Advances in intelligent systems and computing ; 1418. [More in this series]
• Advances in Intelligent Systems and Computing ; 1418

Source of description

Description based on print version record.

Contents

• Intro
• Preface
• AI2SD'2020 Organization
• General Chairs and Co-chairs
• Organization Committee
• Keynote Speakers
• Scientific Committee
• Contents
• Fault Tolerance in SDN Controllers
• 1 Introduction
• 2 SDN and OpenFlow - Overview
• 2.1 SDN Architecture
• 2.2 OpenFlow Protocol
• 2.3 SDN Challenges
• 3 Fault Tolerance in SDN
• 3.1 Fault Tolerance Overview
• 3.2 SDN Controller's Fault Tolerance
• 3.3 Discussion
• 4 Conclusion and Perspectives
• References
• Towards Blockchain-Based Authentication for E-Health
• 2 Generality of Blockchain
• 3 Blockchain Application's
• 4 Related Work
• 5 Functional Study of the Project
• 6 Project Implementation
• 7 Conclusion
• Biometric Identification of Individuals Based on Scalograms of Electrocardiogram and Capsule Network
• 2 Related Work
• 3 Background Theory: A Brief Review
• 3.1 Wavelet Transform
• 3.2 Convolutional Neural Network (CNN)
• 3.3 Capsule Network (CapsNet)
• 4 Proposed Approach
• 4.1 Database
• 4.2 Preprocessing
• 4.3 Feature Extraction
• 4.4 Classification
• 5 Experiments and Results
• 6 Conclusion
• Comparison of the Response Time Between Small Data and Big Data of the BPIS Datasets Requests
• 3 Our Contribution System to Deal with Interoperability Problem
• 4 Characteristics of Technical Level of Our Approach in Information System
• 5 Evaluation of the Response Time Between Small Data and Big Data
• 6 Conclusion and Perspectives
• A Review of Recent Advancements Regarding the Geometry of Flow Field Channels in the Bipolar Plates of Polymer Electrolyte Membrane Fuel Cells
• 2 Different Configurations of Gas Channels
• 2.1 Conventional Flow Channels Geometry
• 2.2 Nature Inspired Channels.
• 2.3 Non-conventional Channels
• 3 Discussion and Conclusion
• Smart Parking Guidance System Based on Distributed IoT Strategy
• 3 IOT Literature and Background Review
• 4 Smart Parking Routing System Using a Distributed Strategy
• 4.1 Path Finder Agent-PFA
• 4.2 Parking Sensors Units
• 4.3 Vehicle Unit
• 4.4 Parking Agent Unit
• 5 Simulation and Results
• Deep Learning Based Sentiment Aware Ranking for E-commerce Product Search
• 2 Related Works
• 2.1 Product Search
• 2.2 Word Embeddings
• 3 Methodology
• 3.1 Preprocessing Step
• 3.2 Product Search Using Similarity Measure
• 3.3 Product Ranking Using Reviews Sentiment
• 4 Experiments
• 4.1 Dataset
• 4.2 Evaluation Metrics
• 4.3 Results and Discussions
• 5 Conclusion and Future Work
• The Mastery of the Evolution of Human Competence for Optimal Planning of Human Resource Allocation: Case Study
• 2 State of the Art on Modeling Competence
• 2.1 Modeling Without Impact on Operational Performance
• 2.2 Modeling with Impact on Operational Performance
• 3 Problematic
• 4 Definition and Parameterization of Competence
• 4.1 Operational Performance
• 4.2 Sources of Competence
• 5 Modeling of Performance Evolution
• 5.1 Result and Discussion for Category A
• 5.2 Result and Discussion for Category B
• Hospital Energy Performance Assessment by the Energy Performance Indicator "IEB"
• 2 Methods: Indicator for Energy Benchmarking (IEB)
• 3 Data Collection, Processing and Results
• 4 Conclusion
• Towards a New Design for Acoustic Echo Cancellation (AEC) Using Neural Network and Backpropagation Algorithm
• 2 Related Work and Proposed Methodology.
• 2.1 AEC Based Neuronal Approach
• 2.2 Model of Proposed Neuronal AEC
• 3 Simulation Results and Analysis
• Fake News Detection Methods: A Survey and New Perspectives
• 2 Fake News Definition
• 2.1 Problem Formulation
• 3 Fake News Categories
• 3.1 Categorization Based on Intent
• 3.2 Categorization Based on Knowledge
• 4 Fake News Proliferation Sources
• 4.1 Social Bots
• 4.2 Cyborg Users
• 4.3 Trolls
• 5 Fake News Detection Methods
• 5.1 Approaches Based on Unsupervised Learning
• 5.2 Approaches Based on Supervised Learning
• 6 Fake News Detection Method Based on Text-Features
• 7 Discussion and Future Research
• 8 Conclusion
• Introduction to Internet of Things' Communication Protocols
• 2 Energy Management
• 3 Communication Protocols
• 3.1 Constrained Application Protocol CoAP
• 3.2 Message Queue Telemetry Transport MQTT
• 3.3 Advanced Message Queueing Protocol AMQP
• 3.4 Extensible Messaging and Presence Protocol XMPP
• Collaborative Filtering Approach: A Review of Recent Research
• 2 Collaborative Filtering in Recommender Systems
• 2.1 Memory-Based Collaborative Filtering
• 2.2 Model-Based Collaborative Filtering
• 3 Research Methodology
• 4 Challenges of Collaborative Filtering Approach
• 5 Classification of Papers in Collaborative Filtering Approach
• 5.1 Evolution of Papers by Year
• 5.2 Classification of Papers by Application Domain
• 5.3 Classification of Papers by Techniques
• Three-Dimensional Finite Radon Transform and Linear Homogenization
• 2 The Problem Position and it's Theoretical Resolution
• 2.1 The Homogenization Problem
• 2.2 Fourier Based Solution
• 2.3 Discrete Radon Based Solution
• 3 Voxel Discretization.
• 3.1 Finite Radon Transform in Three-Dimensional Case
• 3.2 FRT and Discrete Fourier Transform
• 3.3 Algorithm Resolution Scheme
• 4 Illustration and Validation
• 4.1 Laminate Structures
• 4.2 Periodic Array of Cylindrical Fiber
• 4.3 Periodic Array of Square Fiber
• 4.4 Checkerboard Structure
• 4.5 Periodic Unit Cell with Spherical Inclusion
• 5 Conclusion
• Fatigue Damage Assessment of Welded Rectangular Profiles by Numerical Simulation
• 2 Finite Element Simulation
• 2.1 Geometry and Material Properties
• 2.2 Meshing and Boundary Conditions
• 3 Simulation Results and Discussion
• 3.1 Static Resolution
• 3.2 Fatigue Resolution
• 4 Conclusions and Perspectives
• Monitoring of Solenoid Parameters Based on the Neural Networks and Optical Fiber Squeezer for Smart Control of Solenoid Response
• 2 Problem Statement
• 3 The Simulink Model
• 3.1 Structure and Equations of Electromagnetic Fiber Squeezer
• 3.2 Mathematical Model of Solenoid
• 3.3 Simulink Model
• 4 Simulation and Result
• 4.1 Principle of Simulation for PID Adjustment
• 4.2 Simulation Flowchart
• 4.3 Simulation Result for Open Loop System Flowchart
• 4.4 Dynamic Response in Closed Loop with Corrector
• 4.5 Example of Solenoid Parameters Influence on PID Constants
• 4.6 Neural Network Architecture:
• 4.7 Neural Network Training
• 4.8 Design of Monitoring System Based on the Neural Network
• 4.9 Model Performance Testing
• 4.10 Principle of Solenoid Response Smart Control
• 4.11 Results and Discussion
• Students' Enrollment Forecasting Based on Deep Learning Algorithms and Statistical Approaches
• 2 Statistical Methods
• 2.1 Time Series
• 2.2 ARIMA Methode
• 3 Machine Learning Methods
• 3.1 RNN
• 3.2 Long Short-Term Memory (LSTM)
• 4 Result.
• 4.1 Data Set
• 4.2 ARIMA
• 4.3 LSTM
• 5 Discussion and Conclusion
• Part-of-Speech Tagging Using Conditional Random Fields and Decision Tree: Amazigh Text Written in Tifinaghe Characters
• 2 Works About Amazigh POS Tagging
• 3 Linguistic Background
• 3.1 Amazigh Language
• 3.2 Amazigh Script
• 3.3 Amazigh Script
• 4 Results and Experiment Settings
• 4.1 Algorithms
• 4.2 Results
• A Novel Approach for Handwritten Digit Recognition Using Multilayer Perceptron Neural Network
• 3.1 Artificial Neural Network
• 3.2 Multilayer Perceptron
• 3.3 MNIST Dataset
• 3.4 Proposed Model
• 4 Results and Discussion
• Comparative Study of Two Parallel Algorithm K-Means and DBSCAN Clustering on Spark Platform
• 3 Parallel K-Means Algorithm Based on Spark
• 4 Parallel DBSCAN Algorithm Based on Spark
• 4.1 Data Partitioning
• 4.2 Local Clustering
• 4.3 Merging the Data Partitions
• 5 Experimental Results
• 5.1 Experimental Setup.
• 5.2 Performance Evaluations Results
• Sentiment Analysis in Social Networks Using Convolutional Neural Networks
• 2.1 Machine Learning-Based Approach
• 2.2 Lexicon-Based Based Approach
• 2.3 Hybrid Based Approach
• 3 Architecture
• 3.1 Tweet Preprocessing and Cleaning
• 3.2 Classification Using Convolution Neural Network (CNN)
• 4 Experiments and Results
• 4.1 Datasets
• 4.2 Performance Measure
• 4.3 Results and Discussion
• 5 Conclusion and Future Work
• Time-Aware User Profile Enrichment in the Collective Intelligence Context
• 2 Backgrounds and Related Works
• 2.1 Backgrounds
• 2.2 Related Works
• 3 Proposed Approach.
• 4 Experimental Results and Evaluation.

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ISBN

3-030-90639-6

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