| Description |
1 online resource (xiv, 617 pages) : illustrations (some color) |
| Series |
Smart Innovation, Systems and Technologies, 2190-3026 ; volume 379 |
|
Smart innovation, systems, and technologies ; 379. 2190-3026
|
| Contents |
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 |
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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 |
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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 |
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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 |
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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 |
| Summary |
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 |
| Notes |
Includes author index |
|
Online resource; title from PDF title page (SpringerLink, viewed March 4, 2024) |
| Subject |
Business -- Data processing -- Congresses
|
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Artificial intelligence -- Congresses
|
| Genre/Form |
Electronic books
|
| Form |
Electronic book
|
| Author |
So In, Chakchai, editor
|
|
Londhe, Narendra D., editor.
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Bhatt, Nityesh, editor.
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Kitsing, Meelis, editor.
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| ISBN |
9789819986125 |
|
9819986125 |
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