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

• Autore: Vasant Pandian
• Pubblicazione: Cham : , : Springer, , 2024; ©2023
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (456 pages)
• Altri autori: Shamsul ArefinMohammad PanchenkoVladimir ThomasJ. Joshua MunapoElias WeberGerhard-Wilhelm Rodriguez-AguilarRoman
• Nota di contenuto: 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.
• Titolo autorizzato: Intelligent Computing and Optimization
• ISBN: 3-031-50151-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910770275103321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems Series