Advances in Computational Collective Intelligence

Name: Advances in Computational Collective Intelligence | 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9-11, 2024, Proceedings, Part II
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16th International Conference, ICCCI 2024, Leipzig, Germany, September 9-11, 2024, Proceedings, Part II

Ngoc-Thanh Nguyen Bogdan Franczyk André Ludwig Manuel Nunez Jan Treur Gottfried Vossen Adrianna Kozierkiewicz(Editor)

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Published on 8. September 2024

XXVIII, 491 pages

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978-3-031-70259-4 (ISBN)

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Intro
Preface
Organization
Contents - Part II
Contents - Part I
Cybersecurity, Blockchain Technology, and Internet of Things
Enhanced Intrusion Detection Based Hybrid Meta-heuristic Feature Selection
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 Datasets
3.2 Data Preparation Stage
3.3 Features Selection
3.4 Class Imbalance Processing
3.5 Machine Learning Algorithms
4 Experiment Results
5 Conclusion
References
Data Distribution-Based Change Detection Framework in SWaT Security Monitoring
1 Introduction
2 State-of-the-Art
2.1 K-Dimensional-Quad-Tree
2.2 CUmulative SUM
2.3 Crámer-von Mises
2.4 Principal Component Analysis-Change Detection
2.5 Kolmogorov-Smirnov WINdowing
2.6 One-Class Support Vector Machine
3 Proposed Framework and Dataset
3.1 Secure Water Treatment Dataset
3.2 Proposed Framework
4 Results and Discussion
4.1 Comparative Analysis of Change Detection Algorithms
4.2 Dashboards
5 Conclusion and Future Work
References
Fuzzy Rule-Based Anomaly Explanation in Micro-electromechanical Systems
1 Introduction
2 MEMS-Based Inertial Sensor
3 Anomaly Detection by Fuzzy Systems
3.1 Fuzzy Rule-Based System (FRBS)
3.2 Bacterial Memetic Algorithm (BMA)
3.3 BMA Applied on FRBS
3.4 Bacterial Mutation
3.5 Gene Transfer
3.6 Levenberg-Marquardt Method
4 Anomaly Detection by Fuzzy Systems in MEMS Based Sensor Production
4.1 Dataset
4.2 Rule Initialization by Exploiting Domain Knowledge
4.3 Training and Results
5 Conclusion
References
Analysis of Network Intrusion Detection and Potential Botnets Identification Using Selected Machine Learning Techniques
1 Introduction
2 Related Works
3 Methedology
3.1 Results and Analysis of Experiments
4 Conclusion and Future Work
References
MBMD-LoRa Scalable LoRaWAN for Internet of Things: A Multi-band Multi-data Rate Approach
1 Introduction
2 Background and Related Work
3 System Model for LoRaWAN
3.1 Propagation Model
3.2 Simulation Model
4 Multi-band Muti-data Rate for LoRaWAN
4.1 Slim Data Rate
4.2 Zone-Based MBMD Implementation (MBMZ-LoRa)
5 Performance Evaluation
5.1 Network Throughput
5.2 Energy Consumption
6 Conclusion
References
M2M Interface for IoT Traffic Light with Computer Vision and AnyLogic PLE
1 Introduction
2 Materials and Methods
2.1 Tasks Related to Integrating Traffic Lights with Computer Vision and a Server Based on M2M (Machine-to-Machine) Communication
2.2 The Design Stage
2.3 Implementation Stage
2.4 The Testing Stage
3 Discussion
4 Conclusion
References
An Automated and Verbose Approach for Detecting Anomalies in Cloud Computing Platform Using Logs
1 Introduction
2 Background and Related Work
3 Monilog Approach
3.1 Vectorizing Logs
3.2 Detecting Anomalies
3.3 Consolidation and Alerting
4 Experimental Setup
4.1 Dataset
4.2 Anomalies
4.3 Models
4.4 Error Metrics
5 Evaluation
5.1 Precision Evaluation
5.2 Critical Events Forecasting
6 Conclusion
7 Lesson Learned and Future Work
References
Cooperative Strategies for Decision Making and Optimization
Efficiency of Specialized Genetic Operators in Non-dominated Tournament Genetic Algorithm (NTGA2) Applied to Multi-objective Multi-skill Resource Constrained Project Scheduling Problem
1 Introduction
2 Related Work
2.1 Semi-specialized Operators
2.2 Problem Specialized Operators
3 Multi-skill Resource Constrained Project Scheduling Problem
4 Method
4.1 Non-dominated Tournament Genetic Algorithm
4.2 Specialized Genetic Operators for MS-RCPSP
5 Experiments
5.1 Experimental Setup
5.2 Results
6 Summary and Future Work
References
Maximum Entropy Model of Synonym Selection in Post-editing Machine Translation into Kazakh Language
1 Introduction
2 Related works
3 Method
3.1 Semantic Cube Model and Algorithm Used to Correct Wrong Words
3.2 An Example of Choosing a High-Probability Synonym for a Wrongly Translated Kazakh Word
4 Experiment
5 Conclusion and future works
References
Cross-Domain Abbreviation Disambiguation on Vietnamese Clinical Texts in Online Processing
1 Introduction
2 A Cross-Domain Abbreviation Disambiguation Task on Vietnamese Clinical Texts in Online Processing
3 The Proposed Solution
3.1 Solution Details
3.2 The Proposed Nonparametric Self-training Method
3.3 The Characteristics of the Proposed Work
4 An Empirical Evaluation
4.1 Research Questions
4.2 Experiment Settings
4.3 Experimental Results and Discussions
5 Conclusion
References
Exploring the Potential of Generative Models in Promoting Local Language News Consumption
1 Introduction
2 Problem Description
3 The Evolutionary Trajectory of Generative Models
4 Related Work
5 Data Analysis and Preprocessing
6 Methods and Algorithms
7 Data Modelling and Training
8 Performance Measurement
9 Conclusion and Future Work
References
New Methodology for Attack Patterns Classification in Deep Brain Stimulation*-8pt
1 Introduction
2 Recent Works
3 Methodology
3.1 Signal Preprocessing
3.2 Convolutional Neural Network
3.3 Bidirectional Long Short-Term Memory Network
3.4 Convolutional Neural Network and Bidirectional Long Short-Term Memory for Different Attack Patterns Classification
4 Experimental Results
4.1 Dataset Description
4.2 Experiment Setup and Result Analysis
5 Conclusion
References
An Evolutionary Algorithm and a Clustering Technique to Select Good Subsets of Test for Finite State Machines
1 Introduction
2 Description of the Problem and Methods
2.1 The Formalism
2.2 Multi-objective Genetic Algorithm
2.3 Cluster Algorithm
3 Experiments
4 Conclusions and Future Work
References
Computational Intelligence for Digital Content Understanding
Fusing Visual and Textual Representations via Multi-layer Fusing Transformers for Vietnamese Visual Question Answering
1 Introduction
2 Related Works
3 Our Model
3.1 Language Embedding Module
3.2 Visual Embedding Module
3.3 Cross-Attention Module
3.4 Answer Selector
4 Experiments
4.1 Dataset
4.2 Evaluation Metrics
4.3 Experimental Settings
4.4 Results
4.5 Ablation Studies
5 Conclusion
References
Analyzing the Publicization of Drought Debates in Arizona Newspapers
1 Introduction
2 Literature Review and Methodology
2.1 Literature Review
2.2 An Instrumented Methodology
3 Corpora
4 Analysis
5 Conclusion
References
Comparison of the Effectiveness of ANN and CNN in Image Classification
1 Introduction
2 Researching the Implementation of Artificial Neural Networks
3 Computational Experiment Assumptions
4 Results of the Experiment Obtained Using ANN
5 Results of the Experiment Obtained Using CNN
6 Summary
References
Study Neural Model for Recognition of Ancient Turkic Orkhon Runes
1 Introduction
2 Related Works
3 Method
3.1 Development of a Neural Model for Recognition of Ancient Turkic Orkhon Runes
3.2 Researching the Signs of the Ancient Turkic Orkhon Alphabet and Forming a Dataset
3.3 Creating a Script to Segment Input from an Image Containing Orkhon Runes
4 Experiments and Results
5 Discussion
6 Conclusion
References
Topic Modeling with Variable Neighborhood Search
1 Introduction
2 Related Work
3 Approach
3.1 Definition
3.2 Variable Neighborhood Search
3.3 Topic Modeling with VNS
4 Experiments
4.1 Results
5 Conclusion
References
A Neuro-Symbolic Classification Algorithm Using Neural Cell Assemblies
1 Introduction
2 Related Work
3 The Proposed Neuro-Symbolic System
3.1 A Brain-Inspired Representation
3.2 A (Somewhat) Equivalent Explicit Representation
3.3 Learning Prototypes
3.4 Decoding the Representations
3.5 Learning Rules
4 Case Studies
5 Conclusions
References
Transforming Challenges: Siamese-Based Vision Transformers for Robust Occluded Face Recognition
1 Introduction
2 Related Work
3 Proposed Approach
3.1 Siamese-Based ViT for Degraded Face Recognition
3.2 ViT Encoder
3.3 Recognition Stage
3.4 Optimization Process
4 Experiments AndDiscussion
4.1 Datasets
4.2 Results and Discussion
5 Conclusion
References
Recent Methods and Algorithms in Speech Segmentation Tasks
1 Introduction
2 Standard Speech Diarization System
3 Methodology
4 Metrics
5 Speaker Diarization Frameworks
6 Main Challenges Requiring Improvement in Speaker Diarization
7 Conclusion
References
Knowledge Engineering and Application for Industry 4.0
Testing Usability of Different Implementations for VR Interaction Methods
1 Introduction
2 Related Works
3 Environment Setup
4 Experiment
5 Results
6 Conclusions
References
Retrofitting a Legacy Cutlery Washing Machine Using Computer Vision
1 Introduction
2 Related Studies
3 Methodology
3.1 Hardware Setup
3.2 Object Detection
3.3 YOLOv5 and Faster-RCNN
3.4 Color Image Segmentation (CIS)
4 Results and Discussion
4.1 Generalizability
4.2 Utilization and Speed Computation
4.3 Constraints
5 Conclusion
References
On Plagiarism and Software Plagiarism
1 Introduction
2 Comparison with Other Kinds of Plagiarism
3 Academia
4 Legal Aspects and Lawsuits
5 Classes
6 Techniques in Automatic Plagiarism Detection
7 Project Martial: Current and Future Work
References
Automatic Detection of Ambulance Vehicles in Day and Night Conditions in Surveillance Videos
1 Introduction
2 Related Work
3 Ambulance Vehicles
4 Ambulance Emergency Lights Detection
5 Conclusions and Further Research
References
Tools for Identifying and Preventing Loneliness in Older Adults
1 Introduction
2 Research Methodology
3 Related Work
4 The Digi-Ageing Digital Tools
4.1 Screening tool
4.2 Reminiscence tool
5 Evaluation
6 Discussion and Future Work
References
A Clustering Approach for Personalized Coaching Applications
1 Introduction
2 Preliminary Results
3 Description of the Proposed Solution
4 Clustering Procedure
4.1 Experimental Setup
4.2 Theoretical Context Setup
4.3 Clustering Definition
4.4 Resulting Clusters
5 Classification Results
5.1 Performance Evaluation : Accuracy and F1 Score
5.2 Fitting Time
6 Conslusions and Discussion
References
Addressing Initialization and Data Ordering Issues in Latent Factor-Based Recommendation Systems
1 Introduction
2 Related Work
2.1 Problem Statement
2.2 Latent Factor Model
2.3 Objective Function for Learning Latent Factor Matrices
2.4 Initialization of Latent Factor Matrices
3 Motivation
4 Proposed Method
4.1 Interpretation of Latent Factor Matrices
4.2 Initialization of Base User Matrix and User Coordinate Matrix (UCInit)
4.3 Data Ordering in the System Training
5 Experiment
5.1 Experiment Setup
5.2 Dataset
5.3 Measure
5.4 Experiment Result and Discussion
6 Conclusion
References
Usability Assessment of the Use-Case Model Textual Specification Language
1 Introduction
2 Related Works
3 Research Plan
3.1 Objectives
3.2 Participants
3.3 Research Methods
3.4 Data Analysis
4 Research Results
4.1 Syntax Learnability
4.2 Notation Applicability in the Business Context
4.3 Notation Efficiency
4.4 Tool Support
4.5 Perceived Satisfaction and Notation Effectiveness
4.6 Conclusions
5 Threats to Validity
5.1 Internal Validity
5.2 External Validity
6 Summary
References
Collective Intelligence in Healthcare
A Multi-view Spatio-Temporal EEG Feature Learning for Cross-Subject Motor Imagery Classification
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Considered Datasets
3.2 Preprocessing
3.3 Spatio-Temporal FocalNet Module
4 Experimental Results and Discussion
4.1 Experimental Setup
4.2 Scoring Performance
4.3 Comparative Study Using Different Classification Schemes
5 Discussion
6 Conclusion
References
A New MLEM Reconstruction Algorithm for Ultra-low Dose PET
1 Introduction
2 Forward Model Formulation
3 Statistical Considerations
4 Experimental Results
5 Conclusion
References
Cerebral Cortex Extraction Methods Based on a Priori Knowledge for T1-Weighted MRI Images
1 Introduction
2 Related Works
3 Proposed Methods
3.1 Phase 1: Pretreatment
3.2 Phase 2: Cerebral Cortex Extraction
3.3 CCE2
4 Experimental Results and Discussion
4.1 Evaluation Metrics
4.2 Results and Discussions
5 Conclusion
References
Modelling of Drug-Induced Liver Injury with Multiple Machine Learning Algorithms
1 Background
2 Methods
3 Results and Discussion
4 Conclusion
References
Temporal Focal Modulation Networks for EEG-Based Cross-Subject Motor Imagery Classification
1 Introduction
2 Related Work
2.1 Deep Learning Approaches for Motor Imagery (MI) Recognition
2.2 Transformer-Based Models
3 The Proposed Methodology
4 Experimental Results and Discussion
4.1 Considered Datasets
4.2 Implementation Details
4.3 Scoring Performance
4.4 Comparative Study with Established Models
4.5 Discussion
4.6 Conclusion
References
Blood Glucose Prediction in Type 1 Diabetes Based on Long Short-Term Memory
1 Introduction
2 Prediction Models
2.1 Long Short-Term Memory (LSTM)
2.2 Bidirectional Long Short-Term Memory
2.3 Stacked Long Short-Term Memory
3 System Architecture
3.1 Data Set
3.2 Clustering External Data
4 Results
5 Conclusions
References
Multi-method Analysis for Early Diagnosis of Alzheimer's Disease on Magnetic Resonance Imaging (MRI) Using Deep Learning and Hybrid Methods
1 Introduction
2 Methodology
2.1 Datasets Selection
2.2 Image Preprocessing
3 Data Augmentation
4 Data Characterization
5 Classification Model Training
6 Experimental Result and Discussion
6.1 Splitting Dataset
6.2 Model Evaluation
6.3 Analyzing the Outcomes of the OASIS Dataset
6.4 Analyzing Alzheimer's MRI Dataset Using CNN Models
6.5 Evaluating the Findings of the MRI Dataset Using Hybrid CNN Models with SVM
6.6 Comparing Performance: Deep Learning vs. Hybrid Deep and Machine Learning Approaches
7 Conclusion
References
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Advances in Computational Collective Intelligence

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