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Deep Learning Applications / / M. Arif Wani, Mehmed Kantardzic, Moamar Sayed-Mouchaweh, editors
| Deep Learning Applications / / M. Arif Wani, Mehmed Kantardzic, Moamar Sayed-Mouchaweh, editors |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , [2020] |
| Descrizione fisica | 1 online resource (178 pages) : illustrations |
| Disciplina | 006.31 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Machine learning Big data Control engineering Robotics Mechatronics Computational Intelligence Machine Learning Big Data Control, Robotics, Mechatronics |
| ISBN | 981-15-1816-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Trends in Deep Learning Applications -- Optimization Strategies -- Quasi-Newton Optimization Methods -- Application to Deep Reinforcement Learning -- Medical Image Segmentation using Deep Neural Networks with Pre-trained Encoders -- Enabling Robust and Autonomous Material handling in Logistics through applied Deep Learning Algorithms -- Performance metric -- Dataset creation -- Detecting Work Zones in SHRP2 NDS Videos Using Deep Learning Based Computer Vision -- Deep Learning Framework and Architecture Selection -- Action Recognition in Videos Using Multi-Stream Convolutional Neural Networks -- Ensemble of 3D Densely Connected Convolutional Network for Diagnosis of Mild Cognitive Impairment and Alzheimers disease. |
| Record Nr. | UNINA-9910483362503321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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
| 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 |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (169 pages) : illustrations |
| Disciplina | 006.312 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Mathematical statistics
Data mining |
| ISBN | 3-030-72805-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNISA-996464441803316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
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
| 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 |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (169 pages) : illustrations |
| Disciplina | 006.312 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Mathematical statistics
Data mining |
| ISBN | 3-030-72805-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNINA-9910483757603321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||