LEADER 00981nam0-22003131i-450- 001 990000977340403321 005 20070122131225.0 035 $a000097734 035 $aFED01000097734 035 $a(Aleph)000097734FED01 035 $a000097734 100 $a20001205d1987----km-y0itay50------ba 101 0 $aita 102 $aIT 200 1 $aConferenza nazionale sull'energia$eRoma, 24-27 febbraio 1987 210 $aRoma$cIstituto Poligrafico e Zecca dello Stato$d1987 215 $av.$d29 cm 307 $a1.: 1 v. ; 2.: VI, 481-1006 p. 610 0 $aProblemi energetici 710 12$aConferenza nazionale sull'energia$f<1987 ;$eRoma>$0426651 712 01$aItalia.$bMinistero dell'industria, del commercio e dell'artigianato 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000977340403321 952 $a1H-076$b13791$fFI1 952 $a1H-076.001$b13792$fFI1 959 $aFI1 996 $aConferenza nazionale sull'energia$9353167 997 $aUNINA LEADER 01435nas 2200457- 450 001 996321602603316 005 20230822213018.0 035 $a(OCoLC)1050959903 035 $a(CKB)4340000000113354 035 $a(CONSER)--2022222664 035 $a(EXLCZ)994340000000113354 100 $a20180811a20139999 --- - 101 0 $aspa 135 $aur|n||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aHorizontes y raíces $erevista de pensamiento social 210 1$aHavana, Cuba :$cUniversidad de La Habana, Facultad de Filosofía e Historia,$d2013- 215 $a1 online resource 300 $aRefereed/Peer-reviewed 311 $a2311-2034 517 1 $aRevista de pensamiento social 517 1 $aHR 531 1 $aHoriz. raíces 606 $aPhilosophy$vPeriodicals 606 $aHistory$vPeriodicals 606 $aPhilosophy$2fast$3(OCoLC)fst01060777 606 $aHistory$2fast$3(OCoLC)fst00958235 608 $aPeriodicals.$2lcgft 608 $aPeriodicals.$2fast 615 0$aPhilosophy 615 0$aHistory 615 7$aPhilosophy 615 7$aHistory 712 02$aUniversidad de La Habana.$bFacultad de Filosofía e Historia, 712 02$aUniversidad de La Habana.$bFacultad de Filosofía, Historia y Sociología, 906 $aJOURNAL 912 $a996321602603316 996 $aHorizontes y raíces$92838158 997 $aUNISA LEADER 11995nam 22006855 450 001 9910841856803321 005 20250807135450.0 010 $a981-9986-12-5 024 7 $a10.1007/978-981-99-8612-5 035 $a(CKB)30597472100041 035 $a(MiAaPQ)EBC31201054 035 $a(Au-PeEL)EBL31201054 035 $a(DE-He213)978-981-99-8612-5 035 $a(EXLCZ)9930597472100041 100 $a20240226d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInformation Systems for Intelligent Systems $eProceedings of ISBM 2023 /$fedited by Chakchai So In, Narendra D. Londhe, Nityesh Bhatt, Meelis Kitsing 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (609 pages) 225 1 $aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v379 311 08$a981-9986-11-7 320 $aIncludes bibliographical references and index. 327 $aIntro -- 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. 327 $a5 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. 327 $a8.6 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. 327 $a12.1.1 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. 327 $a17.3.1 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. 327 $a21.6 Results. 330 $aThis 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. 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