Mediterranean Forum - Data Science Conference : first International Conference, MeFDATA 2020, Sarajevo, Bosnia and Herzegovina, October 24, 2020, revised selected papers / / edited by Jasminka Hasic Telalovic and Mehmed Kantardzic

• Pubblicazione: Cham, Switzerland : , : Springer, , [2021]; ©2021
• Descrizione fisica: 1 online resource (169 pages) : illustrations
• Disciplina: 006.312
• Soggetto topico: Mathematical statistics; Data mining
• Persona (resp. second.): Hasic TelalovicJasminka; KantardzicMehmed
• Note generali: Includes index.
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Human Behaviour and Pandemic -- Predicting the Coronavirus Spread Based on Countries' Long-Term Socio-Economic Indicators -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Information Regarding COVID-19 -- 3.2 Country Statistics -- 3.3 Preparing the Dataset -- 3.4 Predicting the Parameters of the COVID-19 Curve -- 4 Results -- 4.1 Classification -- 5 Discussion -- 5.1 Issues with Data Fitting -- 6 Conclusion -- References -- Statistical Predictive Analysis of Tobacco Consumption Among Different Age Groups Using Online Survey -- 1 Introduction -- 2 Data Collection and Analysis -- 3 Probability Statistics -- 4 Hypothesis Testing -- 5 Conclusion -- References -- The Influence of Stringency Measures and Socio-Economic Data on COVID-19 Outcomes -- 1 Introduction -- 2 Background -- 2.1 Related Work -- 2.2 Regression Algorithms -- 3 Dataset -- 4 Methods -- 5 Results -- 6 Discussion -- 7 Conclusions -- Appendix -- References -- Applications in Medicine -- 3D Vessel Segmentation in CT for Augmented and Virtual Reality -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion and Conclusions -- References -- A Model of Pupillometric Signals for Studying Inherited Retinal Diseases in Childhood Population -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Model for the Signal -- 2.3 Parameter Estimation, Fitting and Optimization -- 3 Results -- 4 Discussion and Conclusions -- References -- The Use of Data Science for Decision Making in Medicine: The Microbial Community of the Gut and Autism Spectrum Disorders -- 1 Introduction -- 2 Background -- 2.1 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Obtaining Bacterial Abundances -- 3.3 Random Forest Classifier. ; 3.4 Differences in Gut Microbiome Structure Between Children with ASD and Neurotypical Children as Inferred by Statistical Analysis of Datasets -- 3.5 Results -- 4 Discussion -- 5 Conclusions -- References -- Industrial Applications -- Deep Ensemble Approach for RUL Estimation of Aircraft Engines -- 1 Introduction -- 1.1 State of the Art and Related Works -- 1.2 Our Approach -- 2 Proposed Approach -- 2.1 Data Preprocessing -- 2.2 Convolutional Neural Network Model -- 2.3 Long Short Term Memory Model -- 2.4 RUL Fusion -- 3 Experimental Data -- 4 Results and Discussion -- 5 Conclusion -- References -- Designing an Indoor Real-Time Location System for Healthcare Facilities -- 1 Introduction -- 2 Methods -- 3 Results -- 3.1 Off-Site Navigation -- 3.2 On-Site Navigation -- 4 Conclusions -- References -- Sequential Pattern Mining Method for Predictive Maintenance of Large Mining Trucks -- 1 Introduction -- 2 Experiments -- 2.1 Dataset Details -- 2.2 Methodology. -- 3 Experimental Results -- 3.1 Pattern Results for Failure Code 1104 -- 3.2 Pattern Results for Failure Code 1140 -- 3.3 Pattern Results for Failure Code 1143 -- 4 Conclusion and Future Work -- References -- Natural Language Processing -- Classification and Analysis of Personal and Commercial CBD Tweets -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results -- 5 Conclusion -- References -- Finding Records in Social Media: A Natural Language Processing Fundamentals Exploration -- 1 Introduction -- 2 Related Works -- 3 Dataset -- 4 Pre-processing -- 5 Experiments -- 6 Discussions and Conclusion -- References -- Author Index.
• Titolo autorizzato: Mediterranean Forum - Data Science Conference
• ISBN: 3-030-72805-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996464441803316
• Lo trovi qui: Univ. di Salerno
• Serie: Communications in Computer and Information Science