
Computational Collective Intelligence
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This book constitutes the refereed proceedings of the 13
th
International Conference on Computational Collective Intelligence, ICCCI 2021, held in September/October 2021. The conference was held virtually due to the COVID-19 pandemic.
The 58 full papers were carefully reviewed and selected from 230 submissions. The papers are grouped in topical issues on knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; cooperative strategies for decision making and optimization; data mining and machine learning; computer vision techniques; natural language processing; Internet of Things: technologies and applications; Internet of Things and computational technologies for collective intelligence; computational intelligence for multimedia understanding.
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Content
- Intro
- Preface
- Organization
- Contents
- Knowledge Engineering and Semantic Web
- Negative Sampling for Knowledge Graph Completion Based on Generative Adversarial Network
- 1 Introduction
- 2 Related Work
- 3 Baseline Models
- 3.1 NoiGAN
- 3.2 ConvKB
- 4 NAGAN-ConvKB Model
- 5 Experiments
- 5.1 Datasets
- 5.2 Metrics
- 5.3 Parameters and Training Process
- 5.4 Results
- 6 Conclusion
- References
- Learning Embedding for Knowledge Graph Completion with Hypernetwork
- 1 Introduction
- 2 Related Work
- 3 Proposed HyperConvKB Model
- 4 Experiments
- 4.1 Datasets
- 4.2 Metrics
- 4.3 Experiment Setup
- 4.4 Result and Analysis
- 5 Conclusion
- References
- RotatHS: Rotation Embedding on the Hyperplane with Soft Constraints for Link Prediction on Knowledge Graph
- 1 Introduction
- 2 Related Work
- 3 Baseline
- 3.1 TransE
- 3.2 TransH
- 3.3 RotatE
- 4 Our Proposed Model
- 4.1 Rotation Matrix
- 4.2 Projection on Hyperplane
- 4.3 RotatHS Model
- 5 Experiments
- 5.1 Datasets
- 5.2 Parameters and Metrics
- 5.3 Environment
- 5.4 Results
- 6 Conclusion
- References
- Assessing Ontology Alignments on the Level of Instances
- 1 Introduction
- 2 Related Works
- 3 Basic Notions
- 4 Methods of Ontology Alignment Assessment
- 4.1 Criterion Based on the Depth of the Mapped Classes
- 4.2 Criterion Based on the Continuity of Mapped Classes
- 5 Experimental Verification
- 5.1 Experimental Methodology
- 5.2 Data Analysis
- 6 Summary and Future Works
- References
- Describing Semantics of Data Metamodels: A Case Study of Association-Oriented Metamodel
- 1 Introduction
- 2 Description of Conceptual Layer of Metamodels
- 3 The Concept of Semantics Extraction
- 4 Association-Oriented Metamodel
- 5 Definition of Association-Oriented Metamodel's Semantics
- 5.1 Concepts
- 5.2 Semantic Atoms
- 5.3 Evaluation
- 6 Related Works
- 7 Conclusions
- References
- A Knowledge Graph Embedding Based Approach for Learning Path Recommendation for Career Goals
- 1 Introduction
- 2 Related Work
- 3 Description of Proposed Knowledge Graph Architecture
- 4 Recommendation System Based on Knowledge Graph Embedding
- 5 Experimental and Evaluation
- 6 Conclusion and Future Work
- References
- Social Networks and Recommender Systems
- Collective Consciousness Supported by the Web: Healthy or Toxic?
- 1 Introduction
- 2 Noospheric Consciousness
- 3 Neuroscientific Theories of Consciousness
- 3.1 Information Integration Theory (IIT)
- 3.2 Adaptive Resonance Theory
- 3.3 Global Workspace
- 4 Self-organization of Dynamic Patterns
- 5 The Impact of COVID-19 on Noospheric Consciousness
- 6 Promoting a Healthy Noospheric Consciousness
- References
- Equilibrium Analysis for Within-Network Dynamics: From Linear to Nonlinear Aggregation
- 1 Introduction
- 2 Modeling and Analysis of Dynamics Within Networks
- 3 Preliminaries
- 4 Weakly Scalar-Free and Scalar-Free Functions
- 5 Scalar-Free Functions Based on Function Conjugates
- 6 General Equilibrium Analysis for Nonlinear Functions
- 7 Solving Nonlinear Equations for Euclidean Functions
- 8 Solving Nonlinear Equations for Geometric Functions
- 9 Discussion
- References
- The Effect of Emergent Team Roles on Team Performance: A Computational Network Model
- 1 Introduction
- 2 Background Knowledge
- 3 The Modeling Approach Used
- 4 Social Network Model
- 5 Simulation
- 6 Discussion
- References
- A Second-Order Adaptive Network Model for Shared Mental Models in Hospital Teamwork
- 1 Introduction
- 2 Background
- 3 The Adaptive Network Model Using a Shared Mental Model
- 4 Simulation for the Example Scenario
- 5 Discussion
- References
- Modeling an Epidemic - Multiagent Approach Based on an Extended SIR Model
- 1 Introduction
- 2 Related Work
- 3 Modeling the Spread of Disease
- 3.1 Definition of the Disease Model
- 4 Experimental Results
- 5 Conclusion
- References
- News Recommendations by Combining Intra-session with Inter-session and Content-Based Probabilistic Modelling
- 1 Introduction
- 2 Related Work
- 3 Problem Formulation
- 4 Our Proposed Method
- 4.1 Individual Preferences and Latest Intentions
- 4.2 Public Preferences
- 4.3 Recommendation List Creation
- 5 Experimental Evaluation
- 5.1 Log Analysis of Data Sets
- 5.2 Prequential Evaluation Protocol
- 5.3 Sensitivity Analysis of the Proposed Method
- 5.4 Comparison with Other Methods
- 6 Conclusion
- References
- Deep Matrix Factorization for Learning Resources Recommendation
- 1 Introduction
- 2 Related Work
- 3 Proposed Method
- 3.1 Problem Formulation
- 3.2 Deep Matrix Factorization for Learning Resource Recommendation
- 4 Experimental Results
- 4.1 Data Description
- 4.2 Baselines for Comparison
- 4.3 Evaluation Metrics
- 4.4 Evaluation Results
- 5 Conclusion
- References
- Impact of the Stroop Effect on Cognitive Load Using Subjective and Psychophysiological Measures
- 1 Introduction
- 2 Background and Related Works
- 2.1 Cognitive Load
- 2.2 Stroop Effect
- 2.3 Galvanic Skin Response
- 2.4 Subjective Cognitive Load Measurement
- 3 Experimental Setup
- 3.1 Participants
- 3.2 Stroop Test
- 3.3 Self-report Questionnaires Used
- 3.4 Biometric Techniques and Biosensors Used
- 3.5 Metrics to Assess Cognitive Load
- 4 Analysis of Experimental Results
- 5 Conclusions
- References
- Collective Decision-Making
- Toward a Computing Model Dealing with Complex Phenomena: Interactive Granular Computing
- 1 Introduction
- 2 General Idea of IGrC
- 2.1 Complex Granules (c-granules)
- 2.2 Control of a c-granule
- 2.3 Real Physical Semantics of Spatio-Temporal Windows and Time Clock
- 3 Networks of c-granules and Distributed Control in Such Networks
- 4 Concluding Remarks
- References
- Coordination and Cooperation in Robot Soccer
- 1 Introduction
- 2 RoboCup Leagues and Organization
- 3 Cooperation Strategies
- 3.1 From Individual to Collective Strategies
- 3.2 Collective Strategies
- 3.3 Opponent Analysis for Cooperation
- 4 Analysis and Classification of the Proposed Approaches
- 5 Conclusions
- References
- Improving Pheromone Communication for UAV Swarm Mobility Management
- 1 Introduction
- 2 Related Work
- 3 Pheromone Based Swarm Mobility
- 3.1 Pheromone Communication
- 3.2 Collision Avoidance
- 4 Optimisation Algorithm
- 4.1 Crossover Operator
- 4.2 Mutation Operator
- 4.3 Fitness Function
- 5 Experiments
- 5.1 Case Studies
- 5.2 CACOC+ Optimisation
- 5.3 Experimental Results
- 5.4 Interferences and Packet Loss
- 6 Conclusions and Future Work
- References
- UAV-UGV Multi-robot System for Warehouse Inventory: Scheduling Issues
- 1 Introduction
- 2 Models and Problem Analysis
- 2.1 Problem Description
- 2.2 Optimization Problem Analysis
- 2.3 A Simple Lower Bound
- 3 Methods and Algorithms
- 3.1 List-Scheduling Algorithm
- 3.2 An Iterative/Probabilistic Method
- 4 Simulations/Use Case/Experimental Results
- 4.1 Use Case
- 4.2 Experimental Results
- 5 Conclusion and Perspectives
- References
- An Effective Correlation-Based Pair Trading Strategy Using Genetic Algorithms
- 1 Introduction
- 2 Literature Review
- 3 Proposed Approach
- 4 Experimental Results
- 4.1 Dataset Description
- 4.2 Comparison of the Proposed and Previous Approaches
- 4.3 Results of the Second Dataset
- 5 Conclusion and Future Work
- References
- Exploration Strategies for Model Checking with Ant Colony Optimization
- 1 Introduction
- 2 Background
- 2.1 Automata-Theoretic Model Checking
- 2.2 Model Checking Based on Ant Colony Optimization
- 3 Proposed Exploration Strategies
- 3.1 Skip Strategy
- 3.2 Replacement Strategy
- 4 Experiments
- 5 Conclusion
- References
- Periodic Distributed Delivery Routes Planning Subject to Uncertainty of Travel Parameters
- 1 Introduction
- 2 Problem Definition
- 3 Ordered Fuzzy Numbers Algebra
- 4 Ordered Fuzzy Constraint Satisfaction Problem
- 5 Conclusions
- References
- Decision Support Model for the Configuration of Multidimensional Resources in Multi-project Management
- 1 Introduction
- 2 Problem Statement and Illustrative Example
- 3 Decision Support Model for the Configuration of Multidimensional Resources
- 4 Computational Experiments
- 5 Conclusions
- Appendix A Implementation of the Decision Model in AMPL
- References
- New Extensions of Reproduction Operators In solving LABS Problem Using EMAS Meta-Heuristic
- 1 Introduction
- 2 Evolutionary Multi-agent Systems for Discrete Optimisation Problems
- 3 Extended Recombination Operators for LABS Problem
- 3.1 New Variants of Recombination Operators
- 4 Experimental Study
- 4.1 Results
- 4.2 Summary of the Experimental Results
- 5 Conclusions and Future Work
- References
- Adam Smith's Invisible Hand as a New, Powerful and Robust Control Paradigm for Collective AI Robotics
- 1 Understanding the Invisible Hand
- 2 The Invisible Hand as an Unconscious, Chaotic, Non-deterministic Computational Process on the Platform of Beings/Robots in Natural/Artificial Social Structure
- 2.1 Social Structure of Agents/Robots as Computational Platform for Invisible Hand Acting as Control System
- 3 Overall Architecture of Control System Derived from Invisible Hand Paradigm, for Autonomous Team of AI Robots
- 4 Shaping Single Agents/robots
- 5 Conclusion
- References
- Polynomial Algorithms for Synthesizing Specific Classes of Optimal Block-Structured Processes
- 1 Introduction
- 2 Preliminaries and Problem Definition
- 2.1 Hierarchical Decomposition Process
- 2.2 Critical Path
- 3 An Exact Algorithm for Trees
- 4 An Exact Algorithm for a Tree Augmented with an Edge
- 5 An Exact Algorithm for Bipartite Graphs
- 6 An Exact Dynamic Programming Algorithm for Arbitrary DAG
- 7 Conclusions and Future Works
- References
- Cooperative Strategies for Decision Making and Optimization
- A Population-Based Framework for Solving the Job Shop Scheduling Problem
- 1 Introduction
- 2 Job Shop Scheduling Problem
- 3 Related Work
- 4 MPF Framework
- 5 The MPF Framework Implementation for Solving JSSP Instances
- 6 Computational Experiment Results
- 7 Conclusions
- References
- Imbalanced Data Mining Using Oversampling and Cellular GEP Ensemble
- 1 Introduction
- 2 Related Work
- 3 GEP Ensemble with Oversampling and Dynamic Selection of Classifiers
- 3.1 Oversampling to Extend Minority Set
- 3.2 Learning an Ensemble of Classifiers
- 3.3 Dynamic Selection of Classifiers
- 4 Computational Experiment
- 5 Conlusions
- References
- Learning from Imbalanced Data Using Over-Sampling and the Firefly Algorithm
- 1 Introduction
- 2 Learning from Imbalanced Data
- 3 An Approach to Learning from Imbalanced Data
- 3.1 General Concept of the Proposed Approach
- 3.2 Proposed Firefly Algorithm
- 4 Computational Experiment
- 5 Conclusions
- References
- Adaptive Goal Function of Ant Colony Optimization in Fake News Detection
- 1 Introduction
- 2 Fake News Detection and Natural Language Processing
- 3 Classification Methods
- 4 Adaptive Goal Function of ACDT Algorithm
- 4.1 Quality of Classification
- 4.2 Goal Function
- 5 Computational Experiments
- 5.1 Experiment Design
- 5.2 Results of Experiments
- 6 Conclusions
- References
- Data Mining and Machine Learning
- Feature (Gene) Clustering with Collinearity Models
- 1 Introduction
- 2 Dual Planes and Vertices in the Parameter Space
- 3 Vertexical Planes in Feature Space
- 4 Vertexical Feature Subspaces
- 5 Collinearity Criterion Functions
- 6 Minimization of Collinearity Criterion Functions
- 7 Feature (Gene) Clustering
- 8 Local Models of Linear Interactions
- 9 Experimental Results
- 10 Concluding Remarks
- References
- A Reinforcement Learning Framework for Multi-source Adaptive Streaming
- 1 Introduction
- 2 Reinforcement Learning Model
- 2.1 Reward Function
- 2.2 State Space
- 2.3 Action Space
- 2.4 RL-Based Adaptation for Multi-source Video Streaming (RAMS)
- 3 Simulation
- 3.1 Event-Driven Simulation
- 3.2 Results
- 4 Conclusions
- References
- Hybrid Computational Intelligence Modeling of Coseismic Landslides' Severity
- 1 Introduction
- 2 Area of Research
- 2.1 Coseismic Landslides at the Island of Lefkada
- 3 Dataset Pre-processing
- 3.1 Labeling Geological Forms
- 3.2 Fuzzy C-Means Clustering of Landslides
- 3.3 Fuzzy Clustering with FCM Algorithm and T-Norm
- 4 Classification Methodology
- 4.1 Ensemble AdaBoost
- 4.2 Ensemble Subspace k- Nearest-Neighbors (Ensemble Subspace k-NN)
- 5 Experimental Results
- 6 Discussion and Conclusion
- References
- Developing a Prescription Recognition System Based on CRAFT and Tesseract
- 1 Introduction
- 2 Related Work
- 2.1 Text Detection
- 2.2 Text Recognition
- 2.3 Choosen Model
- 3 Base Models
- 3.1 Character Area Perception Model for Text Detection
- 3.2 Tesseract OCR Model
- 4 Prescription Recognition System
- 5 Experiments and Results
- 5.1 Datasets
- 5.2 Metrics
- 5.3 Parameters
- 5.4 Process
- 5.5 Result
- 5.6 Application Software
- 6 Conclusion
- References
- Concept of Parkinson Leading to Understanding Mechanisms of the Disease
- 1 Introduction
- 2 Methods
- 2.1 Measured Attributes
- 3 Results
- 3.1 Rough Set Approach
- 4 Discussion
- References
- Cross-Level High-Utility Itemset Mining Using Multi-core Processing
- 1 Introduction
- 2 Related Works
- 3 Preliminaries
- 4 Proposed Algorithm
- 5 Experimental Evaluation
- 6 Conclusion and Future Works
- References
- Decision Combination in Classifier Committee Built on Deep Embedding Features
- 1 Introduction
- 2 Combining Class Labels
- 2.1 Majority Voting
- 2.2 Optimized Weighted Voting
- 2.3 Soft Voting
- 2.4 Ranked Voting
- 3 The Algorithm
- 3.1 Embedding Action Features Using CAE and Multi-channel, Temporal CNN
- 3.2 DTW-Based Action Features
- 3.3 Embedding Actions Using Neural Network Consisting of TimeDistributed and LSTM Layers
- 3.4 Multi-class Classifiers to Construct Classifier Committee
- 3.5 Classifier Committee
- 4 Experimental Results
- 5 Conclusions
- References
- Deep Learning with Optimization Techniques for the Classification of Spoken English Digit
- 1 Introduction
- 1.1 Background
- 2 Related Work
- 3 Methods and Techniques
- 3.1 Pre-processing the Dataset
- 3.2 One Hot Encoding Technique
- 3.3 Adam Optimization Algorithm
- 3.4 The Proposed Network Architecture
- 3.5 Experiments
- 3.6 Algorithm for the Proposed Model
- 4 Results and Discussion
- 5 Conclusion
- References
- An Implementation of Formal Framework for Collective Systems in Air Pollution Prediction System
- 1 Introduction
- 2 Related Works
- 3 System Overview
- 4 Experiment
- 5 Conclusions
- References
- Computer Vision Techniques
- Ensembles of Deep Convolutional Neural Networks for Detecting Melanoma in Dermoscopy Images
- 1 Introduction
- 2 Related Work
- 3 Materials and Methods
- 3.1 The ISIC Archive
- 3.2 Methodology
- 4 Experiments and Results
- 5 Visualizations and Explainability
- 6 Discussion and Conclusion
- References
- Deep Learning Models for Architectural Façade Detection in Spherical Images
- 1 Introduction
- 2 Method for Constructing Deep Learning Models
- 3 Measures to Evaluate Deep Learning Models
- 4 The Analysis of Façade Instance Detection Results
- 5 The Analysis of Façade Segmentation Results
- 6 Conclusion
- References
- Ensemble of Convolution Neural Networks for Automatic Tuberculosis Classification
- 1 Introduction
- 2 Proposed Methodology
- 2.1 Image Pre-processing
- 2.2 Building Ensemble of CNN
- 3 Results
- 4 Discussion
- 5 Conclusion
- References
- An Improved Forecasting Model from Satellite Imagery Based on Optimum Wavelet Bases and Adam Optimized LSTM Methods
- 1 Introduction
- 2 Related Works
- 3 Improved Wavelet Long-Short Term Memory Approach (I-WT-LSTM)
- 3.1 Multi-resolution Analysis Wavelet Transform (MRA-WT)
- 3.2 Selection Optimal MW:
- 3.3 Long-Short Term Memory Model (LSTM)
- 4 Experimental Results
- 4.1 Study Area and Dataset
- 4.2 Results and Discussion
- 5 Conclusion
- References
- Fast Imaging Sensor Identification
- 1 Introduction
- 2 Related Work
- 3 Imaging Sensor Identification
- 3.1 State-of-the-Art Algorithms
- 3.2 Proposed Approach
- 4 Experimental Evaluation
- 4.1 MSE-DSI Algorithm for Digital Camera Identification
- 4.2 MSE-DSI Algorithm for Flatbed Scanner Identification
- 5 Conclusions and Future Work
- References
- Semantic Segmentation of Small Region of Interest for Agricultural Research Applications
- 1 Introduction
- 2 Materials and Methods
- 3 Experimental Results
- 4 Conclusion
- References
- Severity Assessment of Facial Acne
- 1 Introduction
- 2 Background and Related Works
- 2.1 Object Detection
- 2.2 Hand-Crafted Feature Learning
- 2.3 Deep Feature Learning
- 2.4 Label Distribution Learning
- 3 Methods
- 3.1 Face's Acne Severity Assessment Approach
- 3.2 Skin Patches' Acne Severity Assessment Approach
- 4 Experiments and Results
- 4.1 Dataset and Evaluation Metrics
- 4.2 Experimental Setup
- 4.3 Two Approaches' Results
- 4.4 Further Experimental Results
- 5 Conclusion
- 5.1 Results
- 5.2 Future Works
- References
- Processing and Visualizing the 3D Models in Digital Heritage
- 1 Introduction
- 2 Related Works
- 2.1 Selected VR Framework
- 2.2 Selected Headset
- 2.3 Selected AR SDK
- 3 Our Proposed Method
- 3.1 Overview
- 3.2 Workflow for VR
- 3.3 Workflow for AR
- 4 Implementation and Results
- 4.1 Data Acquisition and Processing
- 4.2 Building a VR Application
- 4.3 Building an AR Application
- 5 Discussion and Evaluation
- 5.1 Data Acquisition by Photogrammetry
- 5.2 Disadvantages of Unity 3D
- 5.3 Disadvantage of Vuforia SDK
- 5.4 Comparing to Other 3D Museums
- 6 Conclusion and Future Work
- References
- Natural Language Processing
- Morphology Model and Segmentation for Old Turkic Language
- 1 Introduction
- 2 Related Works
- 3 General Characteristics of Old Turkic Language
- 4 Development of CSE-model of Old Turkic Language
- 5 Stemming and Morphological Segmentation of Old Turkic Language
- 6 Experiments and Results
- 7 Conclusion and Future Works
- References
- Universal Programs for Stemming, Segmentation, Morphological Analysis of Turkic Words
- 1 Introduction
- 2 Related Works
- 3 CSE-Model on Example of the Kazakh Language
- 4 Stemming Algorithm with Stop-Words Lexicon and Stems-Lexicon on the CSE-Model
- 5 Universal Algorithm and Program for Morphological Segmentation on the Example of Kazakh
- 6 Universal Algorithm and Program for Morphological Analysis on Example of Kazakh Words
- 7 Experimental Results and Analysis
- 8 Conclusion and Future Works
- References
- Establishing the Informational Requirements for Modelling Open Domain Dialogue and Prototyping a Retrieval Open Domain Dialogue System
- 1 Introduction
- 2 Linguistic Reasoning
- 2.1 Language and Grammar
- 2.2 Linguistic Reasoning and Cognitive Science
- 2.3 Informational Attributes of Language
- 3 Related Work in Open Domain Dialogue Modelling
- 3.1 Dialogue Representation
- 3.2 Dialogue Response Formation
- 4 Hypotheses Development
- 4.1 Preservation of Informational Atomicity
- 4.2 Modelling Dialogue as Semantics, not Ontologies
- 4.3 The Role of Distant Semantic Features
- 5 Methodology
- 5.1 Dialogue Representation
- 5.2 Response Formation
- 5.3 Response Evaluation
- 6 Results
- 7 Discussion of Performance
- 7.1 Future Work
- 8 Conclusion
- References
- Estimating Semantics Distance of Texts Based on Used Terms Analysis
- 1 Introduction
- 2 Related Works
- 3 The Description of Semantic Distance Calculation
- 3.1 S1 - The Identification of Text Properties and Metrics
- 3.2 S2 - Calculation of Text Properties and Metrics
- 3.3 S2 - Calculation of Semantic Distance
- 4 Conclusions
- References
- Internet of Things: Technologies and Applications
- AI Threat Detection and Response on Smart Networks
- 1 Introduction
- 2 Anomaly Detection
- 3 The Proposed Anomaly Detection Methodology
- 3.1 Description of the Dataset
- 4 The Proposed Intelligent AnomaTS Algorithm
- 5 Running and Testing the AnomaTS Algorithm
- 6 Conclusions
- References
- A Resource-Aware Method for Parallel D2D Data Streaming
- 1 Introduction
- 2 Related Work
- 3 Modules for Data Streaming
- 4 Resource-Aware Parallel Data Streaming Method
- 5 Experimental Setup
- 6 Experimental Results
- 7 Conclusion and Future Work
- References
- Impact of Radio Map on the Performance of Fingerprinting Algorithms
- 1 Introduction
- 2 Fingerprinting Localization
- 2.1 Deterministic NN Fingerprinting Algorithms
- 2.2 Rank Based Fingerprinting
- 3 Dynamic Radio Map
- 4 Experiments and Achieved Results
- 5 Conclusion
- References
- The Adaptive Calibration Method for Single-Beam Distance Sensors
- 1 Introduction
- 2 A Single-Beam Distance Sensors
- 3 Calibration Methods
- 4 Experiment
- 5 Conclusions
- References
- Internet of Things and Computational Technologies for Collective Intelligence
- Application of Traditional Machine Learning Models to Detect Abnormal Traffic in the Internet of Things Networks
- 1 Introduction
- 2 Problem Definition
- 3 Related Works
- 4 Modeling of the Architecture for Detecting Abnormal Traffic
- 5 Results
- 6 Discussion and Conclusion
- References
- Algorithmic Approach to Building a Route for the Removal of Household Waste with Associated Additional Loads in the "Smart Clean City" Project
- 1 Introduction
- 2 Project "Smart Clean City" for Development of Applications
- 3 Formal Statement of the Route Optimization Problem
- 4 Dynamic Algorithm for Finding Ways with Additional Loading of Passing Cargo
- 5 Discussions and Conclusions
- References
- Autonomic Nervous System Assessment Based on HRV Analysis During Virtual Reality Serious Games
- 1 Introduction
- 2 Physiological Signals Assessment During Exergaming
- 3 Materials and Methods
- 3.1 Procedures and Participants
- 3.2 Virtual Reality Rehabilitation Serious Game
- 3.3 Participants
- 3.4 Experimental Procedure
- 3.5 Experimental Setup
- 3.6 Data Analysis
- 4 Results and Discussion
- 4.1 Variance in HRV Indices During Different Intensity Levels
- 4.2 Variance of HR Levels During a More Complex Gameplay with Different Time Durations
- 4.3 Artificial Intelligence Algorithms for Game Intensity Levels Classification
- 5 Conclusions
- References
- Computational Intelligence for Multimedia Understanding
- Anomaly Detection on ADS-B Flight Data Using Machine Learning Techniques
- 1 Introduction
- 2 Related Work
- 2.1 Distance Based Methods
- 2.2 Ensemble Based Methods
- 2.3 Statistical Methods
- 2.4 Angle Based Methods
- 2.5 Classification Based Methods
- 2.6 Reconstruction Based Methods
- 3 Methods
- 3.1 Proximity Based kNN Algorithm
- 3.2 AutoEncoder
- 4 Implementation Details
- 4.1 Data Set
- 4.2 Parameters and Values
- 5 Results
- 6 Conclusion
- References
- Detection of Monolayer Graphene
- 1 Introduction
- 2 Methodology and Proposed Algorithm
- 2.1 Dataset
- 2.2 Optical Image Segmentation Pipeline
- 2.3 Intensity Based Detection
- 3 Result and Discussion
- 4 Conclusion
- References
- Scale Input Adapted Attention for Image Denoising Using a Densely Connected U-Net: SADE-Net
- 1 Introduction
- 2 Prior Art
- 2.1 Image Denoising
- 2.2 Channel Attention
- 2.3 Scale Input for U-Nets
- 3 A Novel Network for Image Denoising: SADE-Net
- 4 Experimental Results
- 4.1 Implementation Details
- 4.2 Performance Comparison
- 5 Conclusion
- References
- Author Index
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