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Record Nr. |
UNINA9910765488203321 |
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Autore |
Choo Chung Siung |
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Titolo |
Proceedings of ASEAN-Australian Engineering Congress (AAEC2022) : Engineering Solutions in the Age of Digital Disruption |
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Pubbl/distr/stampa |
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Singapore : , : Springer, , 2023 |
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©2023 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (321 pages) |
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Collana |
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Lecture Notes in Electrical Engineering Series ; ; v.1072 |
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Altri autori (Persone) |
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WongBasil T |
SharkawiKhairul Hafiz Bin |
KongDaniel |
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Disciplina |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Intro -- Foreword by Ir. Dennis Ong -- Foreword by Prof. Jugdutt Singh -- Preface -- Acknowledgements -- List of Reviewers -- Contents -- Artificial Intelligence and Machine Learning -- A Systematic Literature Review on Determining the Effectiveness of Short-Term COVID-19 Prediction Models -- 1 Introduction -- 2 Objectives -- 2.1 Inclusion and Exclusion Criteria -- 2.2 Quality Assessment and Coding -- 3 Methods -- 3.1 Machine Learning Models -- 3.2 Deep Learning Models -- 3.3 Predictive Analysis -- 3.4 GLEM and Hybrid EAMA Models -- 3.5 Other Methods -- 4 Discussion -- 5 Conclusion -- References -- Cough Sound Disease Detection with Artificial Intelligence -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Data Analysis of Fly Ash Geopolymer Compressive Strength Using Machine Learning Method -- 1 Introduction -- 2 Methodology -- 2.1 Sample Preparation -- 2.2 Compressive Strength Test -- 2.3 Neural Network -- 3 Result and Discussion -- 3.1 Compressive Strength -- 3.2 Neural Network -- 4 Conclusion -- 5 Recommendations -- References -- Feature Reduction of Relational Oil Drilling Data Before Propositionalization and Harmonization by Measuring Relational Data Missingness -- 1 Introduction -- 2 FSbP Via DAHFR -- 3 Data -- 4 Methodology -- 4.1 Determining a Baseline Feature -- 4.2 Relative Missing Rate |
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