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[null,"1.","Record Nr.",null,"UNINA9910841856803321"]
[null,null,"Titolo",null,"Information Systems for Intelligent Systems : Proceedings of ISBM 2023 / / edited by Chakchai So In, Narendra D. Londhe, Nityesh Bhatt, Meelis Kitsing"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"981-9986-12-5"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (609 pages)"]
[null,null,"Collana",null,"Smart Innovation, Systems and Technologies, , 2190-3026 ; ; 379"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Engineering - Data processing"]
[{"$nulls":4},"Business - Data processing"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Business information services"]
[{"$nulls":4},"Data Engineering"]
[{"$nulls":4},"Business Informatics"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"IT in Business"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Contents -- About the Editors -- 1 Framework for the Adoption of Digital Transformation-A Study on the Banking and Financial Services Industry in India -- 1.1 Introduction -- 1.2 Role of Employees in Organizational Readiness for Digital Transformation -- 1.3 Research Methodology -- 1.3.1 Proposed Hypotheses for Testing -- 1.4 Results of Data Analysis -- 1.4.1 Testing of First-Order Model (Exploratory Factor Analysis) -- 1.4.2 Testing of the Second-Order Model -- 1.4.3 Structural Equation Model (SEM) Representation -- 1.4.4 Statistical Test for Second-Order Model (Dependent Variables) -- 1.4.5 Testing of Hypotheses for the Second-Order Model (Dependent Variables) -- 1.4.6 Testing of the Hypotheses for the Second-Order Model -- 1.5 Conclusion and Discussion on Results -- References -- 2 A Relative Study of Neural Network and Fuzzy Logic Systems in Multi Lingual, Multi Document Textual Summarization -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Proposed System -- 2.3.1 Text Summarization Process -- 2.3.2 Details of Hybrid Features Used -- 2.4 Results -- 2.5 Conclusion and Future Work -- References -- 3 Assessing Suicidal Tendencies on Twitter Using BERTicle -- 3.1 Introduction -- 3.2 "]
[{"$nulls":4},"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."]
[{"$nulls":4},"5 Prediction and Early Detection of Various Diseases Risk by Using Machine Learning Techniques -- 5.1 Introduction -- 5.2 Literature Review -- 5.3 Proposed Work -- 5.3.1 Train and Test of Data -- 5.3.2 Machine Learning Algorithms and Model -- 5.3.3 Predict the Disease Using User Interface -- 5.4 Experimental Results -- 5.4.1 Scatter Plot for Predicted Results -- 5.4.2 Graphical User Interface (GUI) Results -- 5.5 Conclusion -- References -- 6 AI in Healthcare in India: Navigating the Ethical, Legal, and Social Implications -- 6.1 Introduction -- 6.2 Information Processing and Algorithm Implementation for Using AI Systems in Healthcare -- 6.2.1 AI for Living Support -- 6.2.2 AI in the Processing of Biological Data -- 6.2.3 Personalized Medicine with AI/ML -- 6.3 Disease Diagnostic Tools and Prognostication -- 6.3.1 Analysis of Medical Pictures Using Artificial Intelligence -- 6.3.2 Analysis of Electronic Medical Records -- 6.3.3 Genetic Data Analysis by AI -- 6.3.4 AI Can Scan Information from News Articles, Social Media, and Other Sources to Forecast the Risk of Disease Epidemics -- 6.4 Legal and Ethical Ramifications of Deploying AI in Healthcare in the Indian Context -- 6.5 Conclusion -- References -- 7 A Sign Language Recognition System Using Artificial Intelligence -- 7.1 Introduction -- 7.2 Literature Survey -- 7.3 Methodology -- 7.3.1 Data Collection and Pre-processing -- 7.3.2 Deep Learning Architecture -- 7.3.3 Model Training Process -- 7.4 Results -- 7.5 Conclusion -- References -- 8 An Integrated Web Based and Application Programming Interfaces for Disease Prediction Through Self Diagnosis -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Problem Statement -- 8.4 Proposed Algorithm -- 8.4.1 Machine Learning Algorithm -- 8.4.2 Methodology -- 8.4.3 Requirements for the Web Based Blood Bank with Disease Prediction -- 8.5 Results."]
[{"$nulls":4},"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 "]
[{"$nulls":4},"Methodology -- 11.5 Analysis and Discussion -- 11.5.1 Key Policies and Reforms Implemented in the Last Decade in India and China -- 11.5.2 Influence of ICT Reforms on Economic Variables From a Dual Perspective -- 11.6 Interpretation -- 11.6.1 Comparing ICT Policies and Reforms for Both Countries on a Developmental Scale -- 11.7 Conclusion -- References -- 12 Heart Failure Prediction for a Patient Using Hybrid African Buffalo Optimization with Naive Bayes Machine Learning Techniques -- 12.1 Introduction."]
[{"$nulls":4},"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."]
[{"$nulls":4},"17.3.1 Phase 1: Domain Selection -- 17.3.2 Phase 2: Add Class/Relation/Instance -- 17.3.3 Phase 3: Superclass and Subclass Mapping -- 17.3.4 Phase 4: Class and Relation Mapping -- 17.3.5 Phase 5: Class, Relation and Its Instance Mapping -- 17.3.6 Phase 6: PostgreSQL Database Creation -- 17.3.7 Phase 7: Ontology Validation by Expert -- 17.3.8 Phase 8: Conversion of Informal to Formal Ontology -- 17.4 Evaluation Setup -- 17.4.1 System Requirements and Population -- 17.4.2 Survey Questionnaire -- 17.5 Result and Discussions -- 17.6 Conclusions -- References -- 18 Diabetic Retinopathy Severity Detection an Automated Tool -- 18.1 Introduction -- 18.2 Literature Survey -- 18.3 Materials and Methods -- 18.3.1 Dataset -- 18.3.2 Pre-processing -- 18.3.3 Deep Neural Network -- 18.3.4 Training -- 18.4 Results -- 18.5 Conclusion and Future Work -- References -- 19 Towards Intelligent Governance: The Role of AI in Policymaking and Decision Support for E-Governance -- 19.1 Introduction -- 19.2 Related Work -- 19.3 Proposed Methodology -- 19.4 Experimental Results -- 19.4.1 Increased Efficiency -- 19.4.2 Enhanced Decision Support -- 19.4.3 Improved Resource Allocation -- 19.4.4 Public Opinion Analysis -- 19.5 Conclusion -- References -- 20 Synchronizing Business Inspirations: A Conceptualized Computational Approach -- 20.1 Introduction -- 20.2 Literature Review -- 20.3 "]
[{"$nulls":4},"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."]
[{"$nulls":4},"21.6 Results."]
[null,null,null,"Sommario/riassunto","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."]