Intelligent Computing and Optimization

Name: Intelligent Computing and Optimization | Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 4
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Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 4

Pandian Vasant Mohammad Shamsul Arefin Vladimir Panchenko J. Joshua Thomas Elias Munapo Gerhard-Wilhelm Weber Roman Rodriguez-Aguilar(Editor)

Springer (Publisher)

Published on 14. December 2023

XIX, 441 pages

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978-3-031-50151-7 (ISBN)

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Content

Intro
Preface
Contents
About the Editors
I Fuzzy Logic, ANN, Green Cloud Computing, and Smart Algorithms
Time Series Analysis in COVID-19 Daily Reported Cases in South Africa: A Box-Jenkins Methodology
1 Introduction
1.1 Background to Study
1.2 Literature Review
2 Research Methodology
3 Data Analysis
3.1 Initial Stages of the Analysis
3.2 Diagnostic Checking
3.3 Forecasting with ARIMA Model
3.4 Hypothesis Testing Results
4 Conclusions, Recommendations & Limitations
4.1 Conclusion
4.2 Recommendations
4.3 Limitation
References
A Model of Continuous Investing in Information Security with Multifactory Accounting in a Fuzzy Statement
1 Introduction
2 Literature Review and Problem Formulation
3 Goal
4 A Model for Choosing a Strategy for Mutual Continuous Investment in the Field of Information Security, Taking Into Account the Multifactorial Nature of the Problem in a Fuzzy Formulation
5 Computational Experiment to Find Rational Investor Strategies
6 Discussion of the Results of a Computational Experiment
7 Conclusion
References
Modelling and Forecasting Foreign Direct Investment: A Comparative Application of Machine Learning Based Evolutionary Algorithms Hybrid Models
1 Introduction
2 Literature Review
3 Methodology
4 Empirical Results
4.1 Preliminary Data Analysis Results
5 Conclusion and Recommendations
References
Simulation for Analyzing Effect of Silver Meal Lot Sizing Rules in Bullwhip Effect
1 Introduction
2 Problem Description
3 Model Dan Result
3.1 Model Solution
4 Conclusion
References
On Discontinuous Systems with Sliding Modes
1 Introduction
2 Basic Definitions and Notations
3 Statement of the Problem
4 Reduction to a Variational Problem
5 Necessary Minimum Conditions of the Functional I(z, c) in a Particular Case
6 Differential Properties of the Functional I(x, z, c) in a More General Case
7 Conclusion and Acknowledgments
References
Carbon Footprint Optimization for Efficient Effluent Treatment Selection by Using Fuzzy Optimization Modelling
1 Introduction
2 Methodology
2.1 Framework
2.2 Multi-objective Mathematical Model
3 Results and Discussion
4 Conclusion
References
Application of Analytical Hierarchy Process (AHP) in Assessing the Risk of COVID-19 Contraction by the Urban Public Through Transport Services
1 Introduction and Background
2 Related Literature
3 Analytical Hierarch Process Methodology
3.1 Consistency Index and Consistency Ratio
3.2 Data Collection Procedure
3.3 Description of Criteria and Data Capturing Procedure
4 Analysis
4.1 Pairwise Comparisons
5 Results and Discussions
6 Conclusions
References
Green Task Scheduling Algorithm in Green-Cloud
1 Introduction
2 Related Work
3 Research Methodology
3.1 Description of the Algorithms
3.2 Simulation Environment Setup
4 Results and Discussion
5 Conclusion
References
Estimation of Optimum Design of a 3-Bar Truss System with Decision Tree Algorithm
1 Introduction
2 Methodology
2.1 Optimal Design of Truss Systems and Prediction with Artificial Intelligence
3 The Numerical Example
4 Discussion and Conclusions
References
A Soft Computational Technique to Construct a Study Program Recommendation System Based on SDS RIASEC Test
1 Introduction
2 RIASEC
2.1 RIASEC and Program of Study
3 Proposed Method of Soft Computational Technique
4 Illustrative Example
5 Flowchart of System Recommendation
6 Conclusion
References
Semiconductor Manufacturing Final Test Yield Prediction Using Regression with Genetic Algorithm-Based Feature Selection
1 Introduction
2 Review of Related Literature
3 Methodology
3.1 Data Wrangling and Exploratory Data Analysis
3.2 Feature Selection
3.3 Model Optimization and Evaluation
4 Results
4.1 Data Wrangling and Exploratory Data Analysis
4.2 Feature Selection
4.3 Model Optimization and Evaluation
5 Conclusions
References
Modeling and Forecasting Bank Stock Prices: GARCH and ARIMA Approaches
1 Introduction
2 Literature Review
3 Research Methodology
3.1 Research Methodology as a Flow Chart
3.2 Data Source
3.3 ARCH (q) Model
3.4 GARCH (p, q) Model
3.5 ARIMA Process
3.6 Forecasting Using the GARCH (p,q) Process
3.7 Model Selection
4 Data Analysis
4.1 Time Series Plot
4.2 Model Selection
4.3 Best Model GARCH(1,1)-ARMA(2,2)
4.4 Model Diagnostics
4.5 Forecast GARCH (1,1)-ARMA(2,2)
5 Conclusions
References
Cebuano-English Code-Switching Speech Detection Using Support Vector Machine
1 Introduction
2 Related Work
2.1 Cebuano-English Code-Switching
2.2 Automatic Speech Recognition (ASR)
2.3 Problems and Approaches of Code-Switching Detection
3 Experimental Setup
3.1 Corpus
3.2 Feature Extraction
3.3 Acoustic Model
3.4 Language Model
3.5 Gaussian Mixture Model
3.6 Support Vector Machine
3.7 Language Classification
3.8 Model Setup
4 Results
4.1 Corpus Information
4.2 Validation Method
4.3 Results
5 Conclusion and Future Works
5.1 Conclusion
5.2 Future Works
References
Impact of Employability Skills on Employee Performance of Business Graduates in Nepal: Structural Equation Modeling Approach
1 Introduction
2 Literature Review
3 Instruments and Methods
4 Analysis of Results and Discussion
4.1 Demographic Analysis
4.2 Reliability and Validity
4.3 Confirmatory Factor Analysis (CFA)
4.4 Structural Model or Path Analysis
4.5 Discussion
5 Conclusion
Appendix
References
Modelling and Forecasting South African Airline Passengers Using ARIMA
1 Some Similar Studies Done
2 Research Methodology
2.1 Data
2.2 ARIMA Model
3 Data Analysis
3.1 Stationarity
3.2 Model Estimation
3.3 Diagnostic Checking
3.4 Forecasting
4 Conclusion and Recommendations
4.1 Conclusions
4.2 Recommendations
References
The Sensibility of Jaya Algorithm on Tuned Mass Damper Optimization
1 Introduction
2 Structure Control Systems
3 Metaheuristic Algorithm
3.1 Jaya Algorithm
4 Numerical Example
5 Conclusion
References
Archimedes Optimization Algorithm on a Structural Optimization Problem
1 Introduction
2 Methodology
2.1 Optimum Design of Cantilever Beam via Teaching-Learning-Based Optimization Algorithm
2.2 Optimum Design of Cantilever Beam via Flower Pollination Algorithm
2.3 Optimum Design of Cantilever Beam via Archimedes Optimization Algorithm
3 The Numerical Example
4 Results
5 Conclusions
References
A Hybrid Approach for Improving Task Scheduling Algorithm in the Cloud
1 Introduction
2 Literature Review
3 Scheduling Algorithms
3.1 Particle Swarm Optimization (PSO)
3.2 Ant Colony Optimization
4 Proposed PSAC Algorithm
5 Experimental Setup
6 Result Analysis
7 Conclusion
References
Design Optimization of Tuned Liquid Dampers with Hybrid Algorithms
1 Introduction
2 Methodology
2.1 TLD Parameters and Equations of Motion
2.2 Optimization with Hybrid Metaheuristics Algorithms
3 The Numerical Example
4 Discussion and Conclusions
References
A Survey on Optimization of Multi-criteria RBFN
1 Introduction
1.1 Sources of Literature Review
2 Radial Basis Function Neural Networks (RBFNNs)
2.1 Structure of RBFNs
3 Optimization of Multi-Criterions RBF Networks
4 Applications of RBF Neural Networks
5 Conclusion
References
Load Balancing in Cloud Environment Using Different Optimization Algorithms and Open-Source Platforms: A Deep Picture
1 Introduction
2 Cloud Computing
3 Virtualization
4 Load Balancing
5 Optimization
5.1 Honeybee Optimization [14]
5.2 Particle Swarm Optimization [3, 4, 7, 9, 11, 12, 15-17]
5.3 Ant Colony Optimization [6, 8, 14, 15, 17, 18]
5.4 Genetic Algorithm [10, 15, 17, 19]
5.5 Osmos Optimization [3, 14]
5.6 Bee Colony Optimization [3]
6 Literature Survey
7 Conclusion
References
In-Depth Analysis on the Realm of Cloud Computing
1 Introduction
2 Trends
2.1 Global Domain
2.2 Local Domain
3 Applications
3.1 Online Data Storage
3.2 Backup and Recovery
3.3 Big Data Analysis
3.4 Testing and Development
3.5 Application in Antivirus
3.6 Application in E-commerce
3.7 Education on Cloud
4 Cloud Computing Adoption Factors
4.1 Technological Factors
4.2 Organizational Factors
4.3 Environmental Factors
5 Cloud Computing Impacts
5.1 Agriculture
5.2 Economy
5.3 Industry
5.4 Labor
5.5 Society
6 Policy Recommendations
7 Conclusion
References
Revolutionizing the Creative Process: Exploring the Benefits and Challenges of AI-Driven Art
1 Introduction
2 Research Methodology
2.1 Literature Review
2.2 Interviews with Professionals
2.3 Case Study
3 Results and Discussion
3.1 Expansion of Human Creativity
3.2 Ethical and Practical Considerations
3.3 Professional Presentation
4 Conclusion
References
Vehicle License Plates Recognition Using Object Detection and Classification Algorithms
1 Introduction
2 Related Works
3 Proposed System
3.1 Images Labeling
3.2 Data Augmentation
3.3 Training Model
4 Evaluation
4.1 Dataset
4.2 Evaluation
5 Conclusion and Future Works
References
The Impact of HIV/AIDS in the Workplace and Its Effects on an Organization's Productivity: A Case of the Aluminium Industry in South Africa
1 Introduction
2 Literature Review
3 Research Methodology
3.1 Questionnaire
3.2 Pretesting Questionnaire
3.3 Reliability of the Research Instrument
3.4 Semi-structured Interviews
3.5 Pretesting Interview Questions
3.6 Sample Size and Distribution of the Questionnaire
3.7 Limitations
4 Data Analysis
4.1 Age of Respondent
4.2 Gender of Respondents
4.3 Educational Level of Respondents
4.4 Occupation/Job Status
4.5 Years of Employment
4.6 Spread of HIV/AIDS
4.7 Sharing Utensils with HIV-Infected Employees
4.8 Open HIV/AIDS Discussions
4.9 Wellness Clinics
4.10 HIV Testing As Part of the Wellness Clinic Function
4.11 Company Assistance to Workers Who Have Tested Positive
4.12 Caring for HIV/AIDS Affected People
4.13 Efficient Implementation of Programs
4.14 Respondent Reasons for Efficient/Inefficient Implementation of Programs
4.15 Frequency of Colleagues' Sick Leave
4.16 Fear of HIV/AIDS
5 Discussion of Results
6 Recommendations and Conclusions
6.1 Recommendations
6.2 Conclusions
6.3 Further Research
References
Inhibition Performance of Generic Compounds as Corrosion Inhibitor in Combined Chloride and Carbonation Environment
1 Introduction
2 Research Significance
3 Experimental Program
3.1 Materials
3.2 Testing
4 Results
5 Discussion
6 Conclusion
References
Multi-criteria Decision-Making in Education-A Framework of Using Fuzzy Analytic Hierarchy Process for Study Program Selection
1 Introduction
1.1 Background of the Problem
1.2 Problem Definition
2 Literature Review
3 The Fuzzy AHP Methodology
4 Application and Interpretation of Results
5 Conclusion and Future Works
References
The Cost Optimization of Reinforced Concrete Retaining Wall with Different Algorithms
1 Introduction
2 Methodology
2.1 The Design of Retaining Wall
2.2 The Used Algorithms with the Optimization Process
3 Numerical Example
4 Conclusion
References
Energy Efficient Distributed Cloud Load Balancing Using Virtual Machines
1 Introduction
2 Related Work
3 Load Balancing
3.1 Types of Load Balancing
3.2 Load Balancing Techniques
4 Method
5 System Architecture
6 Simulation and Result Analysis
7 Conclusion and Future Works
References
Green Cloud Computing: A Sustainable Energy-Efficiency Approach for Business Rapidity and the Environment
1 Introduction
2 Literature Review
3 Cloud Computing
3.1 Deployment Models in Cloud
3.2 Service Models in Cloud and Their Benefits
3.3 Cloud Computing Platforms
3.4 Need for Green Cloud Datacenter
4 Methodology
4.1 Methodology of Data Collection
4.2 Methodology of Data Analysis
4.3 Techniques to Turn Cloud into Green Cloud
5 Green Cloud Architecture
5.1 Green Data Center
5.2 Study of Green Cloud Computing's Energy Conservation
6 Experimental Setup and Simulation Report
7 E-Waste Management in Green Cloud Computing
8 Expected Results
9 Challenges
10 Conclusion
References
Prediction of Power Consumption and Indoor Ambient Conditions by Artificial Neural Network and Long Short-Term Memory
1 Introduction
2 Methodology
2.1 Data Preparation
2.2 Prediction of Power Consumption by Artificial Neural Network
2.3 Prediction of Indoor Ambient by Long Short-Term Memory
2.4 Time-Series Data Analytics Model
3 Implementation Results
3.1 Accuracy of Prediction
3.2 Prediction Results
4 Conclusion
References
A Machine Learning-Based Approach for Sentiment Analysis of Movie Reviews on a Bangladeshi OTT Platform
1 Introduction
2 Literature Review
3 Methodology
4 Data Collection
5 Dataset Description
6 Data Preprocessing
7 Random Forest
8 Multinomial Naïve Bayes
9 K-Neighbors
10 Linear Support Vector Machine
11 Performance Measuring
12 Result and Discussion
13 Conclusion
References
Pareto Optimization of Laminated Composite Plates with Non-dominated Sorting Whale Optimization Algorithm (NSWOA) Ensemble
1 Introduction
2 NSWOA
3 NSWOA Ensemble
4 Problem Description
5 Results and Discussion
6 Conclusion
References
A Survey on Smart Intelligent Computing and Its Applications
1 Introduction
2 Organization of Paper
3 Motivation of Research
4 Literature Review
5 Gap Analysis
6 Comparative Analysis
7 Findings and Suggestions
8 Advantages and Limitations of Research
9 Conclusion and Future Scope
References
II Business, Economics, Finance, Management, Social and Smart Technology
Personalization of Music Streaming Services Using K-means-A Business User-Oriented Model for Spotify Soundtracks Clustering
1 Introduction
2 Review of Relevant Literature
3 Dataset and Methodology
3.1 Dataset
3.2 Methodology
4 Clustering Process and Results
5 Conclusion and Outlook
References
A Comprehensive Review on Family Budget Management
1 Introduction
2 Methodology
2.1 Phase 1 - Planning
2.2 Phase 2 - Conducting
2.3 Phase 3 - Reporting
3 Paper Collection
3.1 Identification of Studies
3.2 Study Selection
3.3 Primary Selection
3.4 Final Selection
3.5 Publication Distribution
4 Analysis Review
5 Discussion
6 Conclusion
References
Analysis of Tweets for Tourism Trends: A Case Study of Kathmandu, Nepal
1 Introduction
2 Literature Review
3 Research Framework
3.1 Data Collection
3.2 Data Preprocessing
4 Data Analysis and Findings
4.1 Inferential Statistical Analysis
4.2 Time Series Analysis
4.3 Information Cluster and Sentiment Analysis
4.4 Geo Spatial Analysis
5 Conclusion
References
Ergonomics Design: A Smart Concept of Indian Kitchen
1 Introduction
2 Related Work
3 Conclusion
References
Tangible Factors Affecting Tourist Satisfaction and Revisit Intention in Gandaki Province, Nepal
1 Introduction
2 Literature Review
3 Research Methodology
4 Data Analysis and Results
4.1 Socio-demographic Characteristics
4.2 Opinion Towards Tourist Satisfaction and Revisit Intention
4.3 Exploratory Factor Analysis
4.4 Confirmatory Factor Analysis (CFA)
4.5 Reliability and Validity Analysis
5 Conclusion
References
Determining the Optimal Formulation of Cyanoacrylate Nanocomposition to Ensure Strain-Free Fixation of Workpieces on CNC Mills
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
5 Conclusion
References
Ergonomic Analysis on Kitchen Using Asian Manikin
1 Introduction
2 Literature Review
3 Objectives
4 Methodology
5 Conclusion
References
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Intelligent Computing and Optimization

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