11995nam 22006855 450 991084185680332120250807135450.0981-9986-12-510.1007/978-981-99-8612-5(CKB)30597472100041(MiAaPQ)EBC31201054(Au-PeEL)EBL31201054(DE-He213)978-981-99-8612-5(EXLCZ)993059747210004120240226d2024 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierInformation Systems for Intelligent Systems Proceedings of ISBM 2023 /edited by Chakchai So In, Narendra D. Londhe, Nityesh Bhatt, Meelis Kitsing1st ed. 2024.Singapore :Springer Nature Singapore :Imprint: Springer,2024.1 online resource (609 pages)Smart Innovation, Systems and Technologies,2190-3026 ;379981-9986-11-7 Includes bibliographical references and index.Intro -- Preface -- Contents -- About the Editors -- 1 Framework for the Adoption of Digital Transformation-A Study on the Banking and Financial Services Industry in India -- 1.1 Introduction -- 1.2 Role of Employees in Organizational Readiness for Digital Transformation -- 1.3 Research Methodology -- 1.3.1 Proposed Hypotheses for Testing -- 1.4 Results of Data Analysis -- 1.4.1 Testing of First-Order Model (Exploratory Factor Analysis) -- 1.4.2 Testing of the Second-Order Model -- 1.4.3 Structural Equation Model (SEM) Representation -- 1.4.4 Statistical Test for Second-Order Model (Dependent Variables) -- 1.4.5 Testing of Hypotheses for the Second-Order Model (Dependent Variables) -- 1.4.6 Testing of the Hypotheses for the Second-Order Model -- 1.5 Conclusion and Discussion on Results -- References -- 2 A Relative Study of Neural Network and Fuzzy Logic Systems in Multi Lingual, Multi Document Textual Summarization -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Proposed System -- 2.3.1 Text Summarization Process -- 2.3.2 Details of Hybrid Features Used -- 2.4 Results -- 2.5 Conclusion and Future Work -- References -- 3 Assessing Suicidal Tendencies on Twitter Using BERTicle -- 3.1 Introduction -- 3.2 Materials -- 3.3 Methods -- 3.3.1 BERT Model -- 3.3.2 Twitter Scrapers -- 3.3.3 Interaction Circles -- 3.3.4 Suicide Prevention -- 3.4 Discussion -- 3.4.1 Dataset Description -- 3.4.2 Evaluation Metrics -- 3.4.3 Results -- 3.5 Conclusions -- References -- 4 Application of Metaverse in Learners' Engagement -- 4.1 Introduction -- 4.2 Literature Review -- 4.2.1 Metaverse -- 4.2.2 Learners Engagement -- 4.2.3 Metaverse and Technology Acceptance Model (TAM) -- 4.3 Research Methodology -- 4.4 Data Analysis and Interpretation -- 4.5 Conclusion and Future Scope of Research -- References.5 Prediction and Early Detection of Various Diseases Risk by Using Machine Learning Techniques -- 5.1 Introduction -- 5.2 Literature Review -- 5.3 Proposed Work -- 5.3.1 Train and Test of Data -- 5.3.2 Machine Learning Algorithms and Model -- 5.3.3 Predict the Disease Using User Interface -- 5.4 Experimental Results -- 5.4.1 Scatter Plot for Predicted Results -- 5.4.2 Graphical User Interface (GUI) Results -- 5.5 Conclusion -- References -- 6 AI in Healthcare in India: Navigating the Ethical, Legal, and Social Implications -- 6.1 Introduction -- 6.2 Information Processing and Algorithm Implementation for Using AI Systems in Healthcare -- 6.2.1 AI for Living Support -- 6.2.2 AI in the Processing of Biological Data -- 6.2.3 Personalized Medicine with AI/ML -- 6.3 Disease Diagnostic Tools and Prognostication -- 6.3.1 Analysis of Medical Pictures Using Artificial Intelligence -- 6.3.2 Analysis of Electronic Medical Records -- 6.3.3 Genetic Data Analysis by AI -- 6.3.4 AI Can Scan Information from News Articles, Social Media, and Other Sources to Forecast the Risk of Disease Epidemics -- 6.4 Legal and Ethical Ramifications of Deploying AI in Healthcare in the Indian Context -- 6.5 Conclusion -- References -- 7 A Sign Language Recognition System Using Artificial Intelligence -- 7.1 Introduction -- 7.2 Literature Survey -- 7.3 Methodology -- 7.3.1 Data Collection and Pre-processing -- 7.3.2 Deep Learning Architecture -- 7.3.3 Model Training Process -- 7.4 Results -- 7.5 Conclusion -- References -- 8 An Integrated Web Based and Application Programming Interfaces for Disease Prediction Through Self Diagnosis -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Problem Statement -- 8.4 Proposed Algorithm -- 8.4.1 Machine Learning Algorithm -- 8.4.2 Methodology -- 8.4.3 Requirements for the Web Based Blood Bank with Disease Prediction -- 8.5 Results.8.6 Conclusion -- References -- 9 Modelling and Fabrication of Security Gadget for Tirumala -- 9.1 Introduction -- 9.2 Procedures for Paper Submission -- 9.2.1 Detection Principle of PIR Sensor -- 9.2.2 The PIR Sensor Design -- 9.2.3 Heart Rate Sensor Design -- 9.2.4 MEMS Capacitive Analysis -- 9.3 Design of Complete Security System -- 9.3.1 Device Integration -- 9.3.2 Product Development -- 9.4 Results and Discussion -- 9.4.1 PCB Board Development -- 9.5 Conclusion -- References -- 10 Influence Analytics Model of the General Education Courses Toward the Academic Achievement of Rajabhat University Students Using Data Mining Techniques -- 10.1 Introduction -- 10.2 Material and Methods -- 10.2.1 Population and Sample -- 10.2.2 Data Preparation -- 10.2.3 Modeling -- 10.2.4 Model for Clustering -- 10.2.5 Model for Predicting -- 10.2.6 Evaluation and Deployment -- 10.2.7 Evaluation for Clustering -- 10.2.8 Evaluation for Predicting -- 10.3 Results and Discussion -- 10.3.1 Research Results -- 10.3.2 The Optimal Cluster Numbers -- 10.3.3 The Most Effective Model -- 10.3.4 Research Discussion -- 10.4 Conclusion -- 10.5 Research Limitations -- References -- 11 ICT Policy Reforms for Innovation and Economic Development: A Comparative Study of India and China -- 11.1 Introduction -- 11.2 Review of Literature -- 11.3 Objectives of the Study -- 11.4 Research Methodology -- 11.5 Analysis and Discussion -- 11.5.1 Key Policies and Reforms Implemented in the Last Decade in India and China -- 11.5.2 Influence of ICT Reforms on Economic Variables From a Dual Perspective -- 11.6 Interpretation -- 11.6.1 Comparing ICT Policies and Reforms for Both Countries on a Developmental Scale -- 11.7 Conclusion -- References -- 12 Heart Failure Prediction for a Patient Using Hybrid African Buffalo Optimization with Naive Bayes Machine Learning Techniques -- 12.1 Introduction.12.1.1 Heart Valve Disease -- 12.1.2 Standardized Criteria for HF Diagnosis -- 12.1.3 Machine Learning -- 12.2 Literature Review -- 12.2.1 Diabetes Disease -- 12.2.2 Analysis -- 12.3 System Design -- 12.3.1 Pre-processing -- 12.3.2 Segmentation -- 12.3.3 Classification -- 12.3.4 African Buffalo Optimization -- 12.3.5 The Flow of ABO -- 12.3.6 Naive Bayes -- 12.4 Result and Discussion -- 12.5 Conclusion -- References -- 13 Enhancing Criminal Identification: Human Face Deblurring and Mask Detection Using Convolutional Neural Networks -- 13.1 Introduction -- 13.2 Background -- 13.3 Motivation -- 13.4 Analysis -- 13.5 Software and Hardware Requirements -- 13.6 Literature Survey -- 13.7 Software Architecture -- 13.8 Results -- 13.9 Conclusion -- References -- 14 Breast Tumor Prediction Using SVM with Rain Fall Optimisation Algorithm -- 14.1 Introduction -- 14.2 Literature Review -- 14.3 Problem Formulation -- 14.4 Proposed Methodology -- 14.4.1 Support Vector Machine -- 14.4.2 Optimisation Algorithm -- 14.4.3 Algorithm for Rain Fall Optimization -- 14.5 Experimental Results -- 14.5.1 Dataset Analysis -- 14.5.2 Results -- 14.6 Conclusion -- References -- 15 Potato Leaf Disease Detection Using Convolutional Neural Network -- 15.1 Introduction -- 15.2 Literature Survey -- 15.3 Methodology -- 15.3.1 Dataset Collection -- 15.3.2 Data Pre-processing -- 15.3.3 Classification -- 15.3.4 Model Building -- 15.4 Results and Discussion -- 15.5 Conclusion -- References -- 16 Unmask Masked Face -- 16.1 Introduction -- 16.2 Related Work -- 16.3 Methodology -- 16.3.1 Generator -- 16.3.2 Skip Connections -- 16.3.3 Discriminator -- 16.4 Objective Function -- 16.5 Experiment and Result -- 16.6 Conclusion and Future Work -- References -- 17 A Platform for Collaborative Light Weight Ontology Development -- 17.1 Introduction -- 17.2 Literature Review -- 17.3 Proposed System.17.3.1 Phase 1: Domain Selection -- 17.3.2 Phase 2: Add Class/Relation/Instance -- 17.3.3 Phase 3: Superclass and Subclass Mapping -- 17.3.4 Phase 4: Class and Relation Mapping -- 17.3.5 Phase 5: Class, Relation and Its Instance Mapping -- 17.3.6 Phase 6: PostgreSQL Database Creation -- 17.3.7 Phase 7: Ontology Validation by Expert -- 17.3.8 Phase 8: Conversion of Informal to Formal Ontology -- 17.4 Evaluation Setup -- 17.4.1 System Requirements and Population -- 17.4.2 Survey Questionnaire -- 17.5 Result and Discussions -- 17.6 Conclusions -- References -- 18 Diabetic Retinopathy Severity Detection an Automated Tool -- 18.1 Introduction -- 18.2 Literature Survey -- 18.3 Materials and Methods -- 18.3.1 Dataset -- 18.3.2 Pre-processing -- 18.3.3 Deep Neural Network -- 18.3.4 Training -- 18.4 Results -- 18.5 Conclusion and Future Work -- References -- 19 Towards Intelligent Governance: The Role of AI in Policymaking and Decision Support for E-Governance -- 19.1 Introduction -- 19.2 Related Work -- 19.3 Proposed Methodology -- 19.4 Experimental Results -- 19.4.1 Increased Efficiency -- 19.4.2 Enhanced Decision Support -- 19.4.3 Improved Resource Allocation -- 19.4.4 Public Opinion Analysis -- 19.5 Conclusion -- References -- 20 Synchronizing Business Inspirations: A Conceptualized Computational Approach -- 20.1 Introduction -- 20.2 Literature Review -- 20.3 Methodology -- 20.4 Discussion and Operational Overview -- 20.5 Conclusion -- References -- 21 Design, Implementation, and Evaluation of a Low-Cost Visible Light Communication Testbed -- 21.1 Introduction -- 21.2 Related Work -- 21.3 Proposed Work -- 21.3.1 Channel Model -- 21.3.2 Theoretical SNR -- 21.3.3 Testbed Overview -- 21.4 Implementation -- 21.4.1 Implementation of Generic VLC Transmitter -- 21.4.2 Implementation of OOK Modulation -- 21.4.3 Implementation of PDM -- 21.5 Experimental Setup.21.6 Results.This book includes selected papers presented at the World Conference on Information Systems for Business Management (ISBM 2023), held in Bangkok, Thailand, on September 7–8, 2023. It covers up-to-date cutting-edge research on data science, information systems, infrastructure and computational systems, engineering systems, business information systems, and smart secure systems.Smart Innovation, Systems and Technologies,2190-3026 ;379EngineeringData processingBusinessData processingArtificial intelligenceBusiness information servicesData EngineeringBusiness InformaticsArtificial IntelligenceIT in BusinessEngineeringData processing.BusinessData processing.Artificial intelligence.Business information services.Data Engineering.Business Informatics.Artificial Intelligence.IT in Business.006.3So In ChakchaiMiAaPQMiAaPQMiAaPQBOOK9910841856803321Information Systems for Intelligent Systems3655846UNINA