International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 1
Intro -- ICICC-2021 Steering Committee Members -- Preface -- Contents -- About the Editors -- Building Virtual High-Performance Computing Clusters with Docker: An Application Study at the University of Economics Ho Chi Minh City -- 1 Introduction -- 2 Literature Review -- 3 Virtual High-Performance Computing Based on Virtual Clusters and Docker -- 4 Conclusions -- References -- Implementing Multilevel Graphical Password Authentication Scheme in Combination with One Time Password -- 1 Introduction -- 2 Related Works -- 3 Projected Scheme -- 4 Results and Usability Study -- 5 Comparative Analysis -- 6 Conclusion -- 7 Future Scope -- References -- State of Geographic Information Science (GIS), Spatial Analysis (SA) and Remote Sensing (RS) in India: A Machine Learning Perspective -- 1 Introduction -- 1.1 Status Quo in Indian Resources -- 1.2 Natural Disasters in India -- 1.3 The Role of GIS, RS, and SA Via ML Vis-à-Vis India -- 2 GIS Mappings: An Insight into Indian Studies -- 3 Geospatial Abridgement: ML Studies at a Glance -- 4 Conclusion and Future Scope -- References -- Application of Noise Reduction Techniques to Improve Speaker Verification to Multi-Speaker Text-to-Speech Input -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 Encoder -- 3.2 Synthesizer -- 3.3 Vocoder -- 3.4 Database -- 4 Methodology -- 4.1 System Architecture -- 5 Implementation -- 6 Results -- 6.1 Noise Reduction Using Power -- 6.2 Noise Reduction Using Centroid Analysis (No Boost) -- 6.3 Noise Reduction Using Centroid Analysis (with Boost) -- 6.4 Noise Reduction Using Mel-Frequency Cepstral Coefficient (MFCC) Down -- 6.5 Noise Reduction Using Mel-Frequency Cepstral Coefficient (MFCC) Up -- 6.6 Noise Reduction Using Median -- 6.7 Final Result -- 7 Conclusion -- References -- Utilization of Machine Learning Algorithms for Thyroid Disease Prediction..
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E-Book |
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Erscheinungsjahr: |
2021 ©2022 |
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Erschienen: |
Singapore: Springer Singapore Pte. Limited ; 2021 ©2022 |
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Sprache: |
Englisch |
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Beteiligte Personen: |
Khanna, Ashish [VerfasserIn] |
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Links: |
ebookcentral.proquest.com [lizenzpflichtig] |
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Anmerkungen: |
Description based on publisher supplied metadata and other sources |
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Umfang: |
1 online resource (872 pages) |
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PPN (Katalog-ID): |
1816835781 |
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520 | |a Intro -- ICICC-2021 Steering Committee Members -- Preface -- Contents -- About the Editors -- Building Virtual High-Performance Computing Clusters with Docker: An Application Study at the University of Economics Ho Chi Minh City -- 1 Introduction -- 2 Literature Review -- 3 Virtual High-Performance Computing Based on Virtual Clusters and Docker -- 4 Conclusions -- References -- Implementing Multilevel Graphical Password Authentication Scheme in Combination with One Time Password -- 1 Introduction -- 2 Related Works -- 3 Projected Scheme -- 4 Results and Usability Study -- 5 Comparative Analysis -- 6 Conclusion -- 7 Future Scope -- References -- State of Geographic Information Science (GIS), Spatial Analysis (SA) and Remote Sensing (RS) in India: A Machine Learning Perspective -- 1 Introduction -- 1.1 Status Quo in Indian Resources -- 1.2 Natural Disasters in India -- 1.3 The Role of GIS, RS, and SA Via ML Vis-à-Vis India -- 2 GIS Mappings: An Insight into Indian Studies -- 3 Geospatial Abridgement: ML Studies at a Glance -- 4 Conclusion and Future Scope -- References -- Application of Noise Reduction Techniques to Improve Speaker Verification to Multi-Speaker Text-to-Speech Input -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 Encoder -- 3.2 Synthesizer -- 3.3 Vocoder -- 3.4 Database -- 4 Methodology -- 4.1 System Architecture -- 5 Implementation -- 6 Results -- 6.1 Noise Reduction Using Power -- 6.2 Noise Reduction Using Centroid Analysis (No Boost) -- 6.3 Noise Reduction Using Centroid Analysis (with Boost) -- 6.4 Noise Reduction Using Mel-Frequency Cepstral Coefficient (MFCC) Down -- 6.5 Noise Reduction Using Mel-Frequency Cepstral Coefficient (MFCC) Up -- 6.6 Noise Reduction Using Median -- 6.7 Final Result -- 7 Conclusion -- References -- Utilization of Machine Learning Algorithms for Thyroid Disease Prediction. | ||
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