Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0

Name: Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0 | Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 2
Brand: Springer
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Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 2

D. Jude Hemanth Utku Kose Bogdan Patrut Mevlut Ersoy(Herausgeber*in)

Springer (Verlag)

1. Auflage

Erschienen am 5. April 2024

X, 306 Seiten

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978-3-031-56322-5 (ISBN)

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Inhalt

Intro
Foreword
Preface
Contents
Multimodal Classification Algorithm for Turkish Document Archiving: Improving Digital Document Storage by Unifying Image and Text-Based Classifiers
1 Introduction
2 Methodology
2.1 Obtainment of Data-Set
2.2 Image Based Model
2.3 Text Based Model
2.4 Unified Model
3 Conclusion
References
Optimizing Technical Analysis Indicator Parameters with Grey Wolf Optimization
1 Introduction
2 Methodology
2.1 RSI
2.2 Grey Wolf Optimization (GWO)
2.3 Backtesting
2.4 Data and Benchmark
2.5 Implementation of GWO Algorithm
3 Results
3.1 Financial Evaluation
3.2 Results of Optimization
4 Conclusion
References
Performance Analysis of Machine Learning Algorithms for Intrusion Detection in Wireless Sensor Networks
1 Introduction
2 Related Studies
3 Materials and Methods
3.1 Dataset Description
3.2 Data Preprocessing
3.3 Data Balancing
3.4 Machine Learning Algorithms
3.5 Evaluation Metrics
4 Experiment and Results
4.1 Model Parameters
4.2 Experiment Results
4.3 Effect of Data Balancing on Intrusion Detection in Wireless Sensor Networks
5 Conclusion and Future Work
References
Predicting, Profiling and Analysing Burnout of Nursery Staff
1 Introduction
2 Method and Material
2.1 Participants and Procedures
2.2 Measures
2.3 Statistical and Machine Learning-Based Analysis
3 Results and Discussion
4 Conclusions
References
Reasoning on Relational Database and Its Respective Knowledge Graph: A Comparison of the Results
1 Introduction
2 Dataset and Algorithms
2.1 Hetionet Dataset
2.2 Algorithms
3 Results and Discussion
4 Conclusion
References
Snippet Generation Using Local Alignment for Information Retrieval (LAIR)
1 Introduction
2 Related Work
3 Method and Material
3.1 Sequence Alignment's Applicability to Information Retrieval
3.2 Document and Query Preprocessing Steps
3.3 Adapting Local Sequence Alignment to IR
3.4 Combining Local Sequence Alignment and Snippet Generation
4 Evaluation of Snippet Quality
5 Adaptation of LAIR for YouTube Search
6 Conclusions and Future Work
References
The Impact of Emotional Intelligence on Students with Extracurricular Activities and Regular Students
1 Introduction
2 Literature Review
3 Method and Material
3.1 Research Results - Students who Participate in Extracurricular Activities During their Studies
3.2 Research Results - Regular Students
3.3 Comparative Analysis
4 Discussion and Results
5 Conclusions and Future Work
References
The Relevance of Artificial Intelligence in Project Management
1 Introduction
2 Bibliographic Analysis
3 Findings
3.1 Information About Articles
3.2 Results of the Bibliometric Analysis
4 Conclusion
References
Weakly Supervised Relation Extraction
1 Introduction
2 Related Works
3 Method and Material
3.1 REPEL
3.2 Proposed Model
4 Discussion and Results
5 Conclusions and Future Work
References
Fitness Distance Balance Based Kepler Optimization Algorithm
1 Introduction
2 Method and Material
2.1 Preliminaries of the Metaheuristic Optimization Process
2.2 Kepler Optimization Algorithm
2.3 Fitness-Distance Balance
2.4 Fitness Distance Balance Based Kepler Optimization Algorithm
3 Results and Analysis
3.1 CEC2014 Benchmark Functions
3.2 CEC2017 Benchmark Functions
3.3 CEC2020 Benchmark Functions
3.4 CEC2022 Benchmark Functions
4 Conclusions
References
Analysis of Cervical Neoplasia with Artificial Intelligence
1 Introduction
2 Materials and Methods
2.1 Design of the Study and Patient Selection
2.2 Smear Test and Hr HPV DNA Analysis
2.3 Analysis of Data and Application of Artificial Intelligence Technique
3 Results and Conclusions
References
Estimation of Meteorological Parameters Using Data Driven Methods
1 Introduction
2 Related Works
3 Method and Material
3.1 Random Forest Algorithm
3.2 Long Short-Term Memory
3.3 Geographical Characteristics of the Research Area
3.4 Data Preparation
4 Research Findings and Discussion
4.1 Data Preprocessing with Data Mining
4.2 Random Forest Algorithm Temperature Analysis Results
4.3 LSTM Ile Sıcaklık Analiz Sonuçları
5 Conclusion
References
Deep Learning Based Anomaly Detection in the 3D Modeling Production Process
1 Introduction
2 Related Works
3 Material and Method
3.1 Material
3.2 Method
4 Research Findings
5 Discussion and Results
References
Least Core Computation of Weighted Voting Games
1 Introduction
2 Preliminaries
2.1 Weighted Voting Games
2.2 Bin Packing Problems
3 Least Core Computation of Weighted Voting Games
4 Sample Applications
4.1 Simple Weighted Voting Game
4.2 Multiple Weighted Voting Game
4.3 Disjunction of Weighted Voting Games
5 Conclusion
References
Evaluation of Authentication and Key Agreement Approaches of 5G Networks
1 Introduction
2 Architecture of 5G Networks
3 Architecture of 5G-AKA Protocol
3.1 5G-AKA Protocol
3.2 EAP-AKA Protocol
4 Security Services of the 5G Network
5 Security Loopholes in the 5G Network and 5G-AKA Protocol
5.1 Protection and Privacy in 5G
5.2 Bogus SN Attack
5.3 ToRPEDO Attack
5.4 SQN Mismatch Attack
5.5 SUCI Replay Attack
6 Related Work
7 Conclusion
References
Machine Learning Based Detection of Forest Fires Using Sensors Placed in Forests
1 Introduction
2 Material and Method
2.1 Data Set
2.2 Feature Selection
2.3 Machine Learning
2.4 Performance Evaluation Criteria
3 Findings
4 Discussion
5 Conclusion
References
Exploring the Potential Interplay of GPT, Edge AI, and the Defense Industry
1 Introduction
2 Method and Material
2.1 GPT: Definition and Core Attributes
2.2 GPT: Applications Within Defense Operations
2.3 GPT: Challenges and Considerations
2.4 Edge AI: Transforming Decentralized Data Processing
2.5 Edge AI: Advantages for Defense Applications
2.6 Edge AI: Challenges and Considerations
3 Discussion, Conclusions, and Future Prospects
References
Examination of Tensile Strength of Polylactic Acid (PLA) Materials Processed by Fused Deposition Modeling (FDM) Additive Manufacturing Method at Different Production Parameters
1 Introduction
2 Method and Material
2.1 Fused Deposition Modeling (FDM)
2.2 Experimental Design
2.3 Tensile Strength Test
3 Discussion and Results
4 Conclusion
References
The Evolution of Technology in Artificial Intelligence and Its Impact on Project Management
1 Introduction
2 Fundamentals of AI
2.1 Defining AI
2.2 Machine Learning
2.3 Deep Learning (DL)
2.4 Optimization Algorithms and Hybrid Approaches
2.5 AI Application Fields
3 Methodology
3.1 Systematic Literature Review
3.2 Research Questions
3.3 Search Execution and Queries
4 Results
4.1 The Evolution of AI Technologies
4.2 The Evolution of AI Technologies in PM
4.3 Impact of AI on PM
5 Discussion
6 Conclusion
References
Laveraging Machine Learning for Improved Project Inspections and Internal Control Systems
1 Introduction
2 Methodology
3 Theoretical Background
3.1 The New Era of Project Audit Risk Management
3.2 Problem Identification and Predictive Insights
3.3 The Power of Real-Time Auditing
3.4 Changing Role of Project Auditors
4 Challenges and Forward Path
5 Conclusions and Future Work
References
Author Index

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