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Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023): Volume 1 (Lecture Notes in Networks and Systems)

معرفی کتاب «Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023): Volume 1 (Lecture Notes in Networks and Systems)» نوشتهٔ Katerina Kabassi (editor), Phivos Mylonas (editor), Jaime Caro (editor)، منتشرشده توسط نشر Springer Nature Switzerland AG در سال 2023. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

This book summarizes the research findings presented at the 3rd International Conference on Novel & Intelligent Digital Systems (NiDS 2023). NiDS 2023 held in Athens, Greece, during September 28–29, 2023, under the auspices of the Institute of Intelligent Systems. The conference was implemented hybrid, allowing participants to attend it either online or onsite. NiDS 2023 places significant importance on the innovations within intelligent systems and the collaborative research that empowers and enriches artificial intelligence (AI) in software development. It encourages high-quality research, establishing a forum for investigating the obstacles and cutting-edge breakthroughs in AI. The conference is designed for experts, researchers, and scholars in artificial and computational intelligence, as well as computer science in general, offering them the opportunity to delve into relevant, interconnected, and mutually complementary fields. By facilitating the exchange of ideas, the conference strengthens and broadens the network of researchers, academics, and industry representatives. Preface Committees Contents National Unemployment Recovery Initiative NextGenerationEU: Social Impact of Lifelong Learning in Computer-Aided Design 1 Introduction 2 Background and Requirements of the Program 3 Methodological and Organizational Aspects 3.1 Program Design and Implementation 3.2 Program Management and Instructor Profile 3.3 Objectives of the Requalification Program 3.4 Objectives of Sustainable Education and Lifelong Learning 4 Trainee Demographics 5 Results and Discussion 6 Conclusions and Future work References Automated Coral Lifeform Classification Using YOLOv5: A Deep Learning Approach 1 Introduction 2 Methodology 2.1 Dataset 2.2 Model Training 2.3 Model Training 3 Results and Findings 4 Conclusion and Recommendations References Mapping Hierarchies and Dependencies from Robustness Diagram with Loop and Time Controls to Class Diagram 1 Introduction 1.1 Workflows and Workflow Dimensions 1.2 Robustness Diagram with Loop and Time Controls 1.3 Class Diagrams 2 Mapping RDLTs to CDs 2.1 Static Aspects of RDLT to CD mapping 2.2 Dynamic Aspects of RDLT to CD Mapping 2.3 Mapping Algorithm 2.4 Hierarchies Mapping in RDLT to CD 2.5 Dependencies Mapping in RDLT to CD 2.6 Mapping Verification 3 Results and Discussion 3.1 Illustration of RDLT to CD Mapping with Chiller System 3.2 RDLT to CD Mapping of Hierarchies and Dependencies 4 Conclusions 5 Future Research References A Deep Learning Model to Recognise Facial Emotion Expressions 1 Introduction 1.1 Background 1.2 Problem Statement – Research Questions 2 Methodology 3 Results and Findings 4 Conclusions and Next Steps References Technical University of Crete February 2023 Readers’ Satisfaction from Online News Websites 1 Introduction 2 Literature Review 3 Method and Results 4 Overall and Partial Satisfaction 5 Overall Satisfaction Analysis 6 Criteria Satisfaction Analysis 7 Discussion References Artificial Intelligence-Based Adaptive E-learning Environments 1 Introduction 2 Research Problem Statement 3 Outline of Objectives 4 State of the Art 5 Ongoing Works and Future Directions of the Research 6 Conclusion References CoMoPAR: A Comprehensive Conceptual Model for Designing Personalized Augmented Reality Systems in Education 1 Introduction 2 Literature Review 3 Presentation of CoMoPAR 4 Discussion of CoMoPAR 4.1 User Interface 4.2 Augmented Reality Layer 4.3 Personalization Layer 4.4 Content Layer 4.5 Analytics Layer 4.6 Backend Layer 5 Conclusions References Identification of the Problem of Neural Network Stability in Breast Cancer Classification by Histological Micrographs 1 Introduction 2 Convolutional Neural Networks for Breast Micrograph Analysis 3 Datasets Description 4 Model Training 5 Model Testing 6 Conclusion References A Web Tool for K-means Clustering 1 Introduction 2 K-Means Clustering 3 Elbow Method 4 The Web-K-Means Application 4.1 Description 4.2 Web Interface 4.3 Web Service 5 System Evaluation 5.1 CPU Time Measurements 5.2 Usability Testing 6 Conclusions and Future Work References Debriefings on Prehospital Care Scenarios in MedDbriefer—A Tool to Support Peer Learning 1 Introduction 2 MedDbriefer 3 Related Work 4 Analyzing Scenario Logs to Generate Debriefings 4.1 Overview 4.2 Analysis Phase 1: Interpreting the Event Log 4.3 Analysis Phase 2: Applying Temporal Constraints 4.4 Analysis Phase 3: Identifying and Marking Missing Actions 5 Conclusion References Case Study of Organization of Decision-Making and Feedback Synthesis in Intelligent Tutoring Systems with a Cross-Cutting Approach 1 Introduction 2 Method 2.1 Generalization of the Input Data in Cross-Cutting Approach 2.2 Cross-Cutting Approach in Decision-Making 2.3 Feedback Synthesis 3 Case Study and Discussion 3.1 Input Data 3.2 Learning Situation Analysis 4 Conclusion References Rescue Under-Motivated Learners Who Studied Through MOOCs by Prediction and Intervention 1 Introduction 2 Outline of Objectives 3 Related Works 4 Methodology and Expected Outcome 5 Ongoing Works and Future Directions of the Search References Ontological Model of Knowledge Representation for Assessing the City Visual Environment Quality 1 Introduction 2 Systematization of Factors Affecting the Quality of the Visual Environment of the City 2.1 Increased Sealing 2.2 The Monotony of the Surrounding Space 2.3 Increased Visual Noise Level 2.4 Homogeneity of the Visible Medium 2.5 Aggressiveness of the Visible Environment 2.6 Color Harmony 2.7 Harmonious Combination of Architectural Forms 2.8 Uniform Rules for the Organization of Visual Space 3 Development of an Ontological Model 4 Conclusion References Mental Disorders Prediction from Twitter Data: Application to Syndromic Surveillance Systems 1 Introduction 2 Related Works 3 Research Methodology 4 Work in Progress 5 Conclusion References Internet of Wearable Things Systems: Comprehensive Review 1 Introduction 2 Internet of Wearable Things Systems 3 Literature Review 4 Problematic, Objective and Outcomes 5 Conclusion References Introducing a Biomimetic Rig for Simulating Human Gait Cycles and Its Potential Applications 1 Introduction 2 The Rig 2.1 Physical Characteristics and Main Parts of the Rig 2.2 Passive Models of Limbs 2.3 Stance and Gait Reproduction 2.4 Potential Applications and Fields of Usage 2.5 Rapid Proofing 3 Conclusions References Exploring Smart City Analytical Framework: Evidence from Select Case Studies 1 Introduction 2 Prior Work 2.1 Current Direction of Smart Cities Research 2.2 Advance of Smart Cities in Different Regions 3 Methods 4 Results and Discussion 5 Conclusion References Augmented Intelligence Assisted Deep Learning Approach for Multi-Class Skin Cancer Classification 1 Introduction 2 Materials and Method 2.1 Dataset 3 Model Training 3.1 Loading/Resizing Images 3.2 Train and Test 3.3 Normalization 3.4 Data Augmentation 4 Deep Learning Technique 4.1 DenseNet 5 Implementation and Results 6 Conclusion References Using Recorded Lectures in Teaching Higher Education in an Online Remote Learning Context 1 Rationale 2 Literature Review 3 Methods 3.1 Research Participants 3.2 Data Collection and Analysis 4 Results and Discussion 4.1 Viewing Strategies Used by the Students in Viewing the Recorded Lectures 4.2 Performance Task Ratings of the Students After Viewing the Recorded Lectures 4.3 Students’ Feedback on Using Recorded Lectures in Online Learning 5 Conclusion References Mental Confusion Prediction in E-Learning Contexts with EEG and Machine Learning 1 Introduction 2 Methodology 2.1 Presentation of Data Collection Process 2.2 Data Understanding 2.3 Machine Learning Models and Evaluation Metrics 3 Results and Discussion 4 Conclusions References Exploring the Use of Augmented Reality in Teaching History to Students with Attention-Deficit Hyperactivity Disorder 1 Introduction 2 Background 2.1 Limitations AR 2.2 Benefits AR 3 Research Methodology 3.1 Educational Scenario 4 Evaluation 5 Discussion 6 Conclusion References Development of a Module for Generating Function Header Tasks Through the Analysis of Textual Comments 1 Introduction 2 Concepts and Approaches 3 Generation Module Models and Algorithms 3.1 Conceptual Model of the Generation Module 3.2 Algorithm for Obtaining Information 4 Comment Categories 5 Analysis of Doxygen Comments 5.1 Types of Comments 5.2 Options for Documenting with Comments 6 Overview of Methods and Types of Task Generators 6.1 Types of Task Generation Tools 6.2 Types of Task Generation Tools 7 Approaches to Generating Learning Tasks 7.1 Template-Based Generation 7.2 Generating Mathematical Expressions 7.3 Generation Based on Knowledge Bases 8 Review of Analogues of Training Task Generators 9 Problem Statement 10 Performance Evaluation 11 Conclusions References E-Health Cloud Based Systems: A Survey on Security Challenges and Solutions 1 Introduction 2 Background 2.1 E-Health 2.2 Common eHealth Security Issues 2.3 Cloud Computing and Security 3 Related Literature Surveys and Works 4 Comparaison and Discussion of Various Works 5 Future Directions and Challenges 6 Conclusion References Crafting Immersive Experiences: A Multi-Layered Conceptual Framework for Personalized and Gamified Virtual Reality Applications in Education 1 Introduction 2 Relevant Literature 3 Layer 1: User Profiling 3.1 Data Collection Methods 3.2 User Preference Analysis 3.3 Personalized User Profiles 3.4 Dynamic Profile Adaptation 3.5 Privacy and Ethical Considerations 4 Layer 2: Content Customization 4.1 Dynamic Content Generation 4.2 Adaptive Narratives 4.3 Personalized Aesthetics 4.4 Contextual Relevance 4.5 User-Controlled Customization 5 Layer 3: Interaction and Gameplay 5.1 Interaction Design 5.2 Gamification Elements 5.3 Personalized Gameplay Mechanics 5.4 Immersive Feedback 5.5 User-Centered Social Interactions 6 Layer 4: Feedback and Progression 6.1 Real-Time Feedback Mechanisms 6.2 Performance Metrics and Evaluation 6.3 Adaptive Difficulty and Challenge 6.4 Progress Visualization 6.5 Goal Setting and Personalized Objectives 6.6 Continuous Progression and Unlockable 7 Layer 5: Social Integration 7.1 Multiplayer Modes 7.2 Shared Experiences 7.3 Social Challenges and Leaderboards 7.4 Communication Features 7.5 Virtual Social Spaces 7.6 User-Generated Content and Sharing 8 Conclusion References Augmented Reality for Enhancing Linguistic Skills of International Students in Preschool Education 1 Introduction 2 Related Work 3 System Overview 4 Evaluation 5 Discussion 6 Conclusions and Future Work References Modeling and Prediction of Meteorological Parameters Using the Arima and LSTM Methods: Sivas Province Case 1 Introduction 2 Material and Method 2.1 Material 2.2 Method 3 Discussion and Conclusion References A State of Art Review on Testing Open Multi-Agent Systems 1 Introduction 2 Open Multi-Agent Systems 3 Levels of Testing Multi-Agent Systems 4 Previous Work on MAS Testing 5 Conclusion References Internet of Things Based Smart Healthcare System 1 Introduction 2 Background 2.1 Internet of Things 2.2 Multi Agents System 2.3 Relevant Medical Parameters 3 Literature Review 4 Proposed Approach 4.1 Connected Medical Device 4.2 Mobile Application 4.3 Agent-based System for Pulmonary Embolism Diagnosis 5 Conclusion References Integrating CAD to University’s Social Enterprise to Promote Local Weavers’ Livelihood and Traditional Craft Preservation 1 Introduction 1.1 Review of Related Literature 2 Methodology 3 Findings 3.1 CAD in Designing Traditional Craft 4 Conclusion References Intelligent Air Quality Monitoring System: A Comprehensive Review 1 Introduction 2 Outline of Objectives 3 Related Work 4 Methodology and Expected Outcomes 5 Ongoing Work and Future of the Research References One Dimensional Fingerprinting as an Alternative to the Free Space Path Loss Equation for Indoor Positioning 1 Introduction 2 Related Studies 3 Proposed Method 4 Measurement Method 5 Accuracy Study 6 Conclusions References The Interaction of Disabled People and New Forms of Packaging: A Holistic Approach 1 Introduction 2 Literature Review 2.1 Packaging 2.2 Disability 3 Methodology 4 The Study’s Findings 4.1 The Description of the Problematic Situation 4.2 The Rich Picture 4.3 Stakeholder Analysis 4.4 The PQR Formula 5 Discussion and Conclusions 6 Limitations of the Study and Suggestions for Future Studies References Emotion Recognition Through Accelerometer and Gyroscope Sensors: A Pilot Study 1 Introduction 2 Emotion Recognition 3 Methodology 3.1 Sensors 3.2 Ethical Considerations 3.3 Procedures 3.4 Data Acquisition 3.5 Data Pre-Processing 3.6 Feature Engineering 3.7 Model Development 4 Results and Discussion 4.1 Accelerometer 4.2 Accelerometer Linear 4.3 Gyroscope 4.4 Model Comparison 4.5 Emotion Recognition 4.6 Feature Selection 4.7 Overall 5 Conclusion References Internet of Everything Based Intelligent System for Sleep Recording and Analysis 1 Introduction 2 Background 2.1 Sleep Study 2.2 Internet of Everything 2.3 Artificial Intelligence/Machine Learning 3 Related Work 4 Problematic and Objective 5 Methodology and Ongoing Work 6 Conclusion References Using Web Technologies to Implement a Modular Integrated System for Augmented Tourism Destinations 1 Introduction 2 State of the Art 3 System Design and Architecture 3.1 Objectives 3.2 Requirements 3.3 System Architecture and Components 4 Implementation 4.1 Implementation of the Back-End Infrastructure 4.2 User Mobile Application Implementation 5 Discussion References Using CAD to Preserve Local Traditional Weaving Craft in Teaching Mathematics 1 Rationale 2 Review of Related Literature 2.1 Teaching Mathematics Using CAD and Weaving 2.2 Traditional Weave Craft in Teaching Mathematics 3 Method 4 Results and Discussion 5 Conclusion References Author Index
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