Data science : new issues, challenges and applications /: new issues, challenges and applications. (2020)
- Record Type:
- Book
- Title:
- Data science : new issues, challenges and applications /: new issues, challenges and applications. (2020)
- Main Title:
- Data science : new issues, challenges and applications
- Further Information:
- Note: Gintautas Dzemyda, Jolita Bernatavičienė, Janusz Kacprzyk, editors.
- Other Names:
- Dzemyda, Gintautas
Bernatavičienė, Jolita
Kacprzyk, Janusz - Contents:
- Intro -- Preface -- Contents -- Object Detection in Aerial Photos Using Neural Networks -- 1 Introduction -- 2 Distributed Data Processing System -- 3 Convolutional Neural Networks -- 4 Object Detection Methods by Convolutional Neural Network Review -- 5 Object Detection -- 6 Coordinate Rectangles Merging Algorithm -- 7 Adaptive Threshold Changing -- 8 Conclusion -- References -- Modelling and Control of Human Response to a Dynamic Virtual 3D Face -- 1 Introduction -- 2 Experiment Planning and Data Analysis -- 3 Input-Output Model Building -- 4 Predictor-Based Control with Constraints 5 Modelling Results -- 6 Conclusions -- References -- Knowledge-Based Transformation Algorithms of UML Dynamic Models Generation from Enterprise Model -- 1 Introduction -- 2 Business and IT Alignment Influence to Knowledge-Based IS Engineering -- 3 Importance of UML Elements Role Variations After Generating from EM -- 4 UML Models Transformation Algorithms from EM -- 5 Conclusions -- References -- An Approach for Networking of Wireless Sensors and Embedded Systems Applied for Monitoring of Environment Data -- 1 Introduction -- 2 Related Works on the Solutions of Smart WSN 3 The Architecture of Buoy's System-Based on WSN for Monitoring of Sea Water Parameters -- 3.1 Embedded System Deployment in Sensor Node -- 3.2 Communication of the Network Sensors and Master Node -- 3.3 Background of Architecture of Buoy-Sensor Node -- 4 Possibilities to Apply Data Gathering Methods and Means for SituationIntro -- Preface -- Contents -- Object Detection in Aerial Photos Using Neural Networks -- 1 Introduction -- 2 Distributed Data Processing System -- 3 Convolutional Neural Networks -- 4 Object Detection Methods by Convolutional Neural Network Review -- 5 Object Detection -- 6 Coordinate Rectangles Merging Algorithm -- 7 Adaptive Threshold Changing -- 8 Conclusion -- References -- Modelling and Control of Human Response to a Dynamic Virtual 3D Face -- 1 Introduction -- 2 Experiment Planning and Data Analysis -- 3 Input-Output Model Building -- 4 Predictor-Based Control with Constraints 5 Modelling Results -- 6 Conclusions -- References -- Knowledge-Based Transformation Algorithms of UML Dynamic Models Generation from Enterprise Model -- 1 Introduction -- 2 Business and IT Alignment Influence to Knowledge-Based IS Engineering -- 3 Importance of UML Elements Role Variations After Generating from EM -- 4 UML Models Transformation Algorithms from EM -- 5 Conclusions -- References -- An Approach for Networking of Wireless Sensors and Embedded Systems Applied for Monitoring of Environment Data -- 1 Introduction -- 2 Related Works on the Solutions of Smart WSN 3 The Architecture of Buoy's System-Based on WSN for Monitoring of Sea Water Parameters -- 3.1 Embedded System Deployment in Sensor Node -- 3.2 Communication of the Network Sensors and Master Node -- 3.3 Background of Architecture of Buoy-Sensor Node -- 4 Possibilities to Apply Data Gathering Methods and Means for Situation Recognition -- 5 Working Principles of Smart Components Based on WSN System for Recognition of Situations -- 5.1 Data Acquiring and Combining -- 5.2 Detailing of Monitoring Parameters of Water Reservoir for Evaluation of Situations 5.3 Requirements for Intellectualization Stage in Environment Monitoring System -- 6 Experimental Results of Autonomous Uninterrupted Work of WSN System -- 7 Conclusions -- References -- Non-standard Distances in High Dimensional Raw Data Stream Classification -- 1 Introduction -- 2 The Research Problem -- 3 Current Knowledge -- 3.1 Stream Classification Algorithms -- 3.2 Stream Classification Performance Measures -- 3.3 Motivation -- 4 Classifier Model -- 4.1 Normalized Compression Distance -- 4.2 Lempel-Ziv Jaccard Distance -- 4.3 MOA Environment -- 5 Results of the Experiments -- 6 Conclusions … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2020
- Extent:
- 1 online resource (325 pages)
- Subjects:
- 006.3
Computational intelligence
Data mining
Big data
Big data
Computational intelligence
Data mining
Electronic books - Languages:
- English
- ISBNs:
- 9783030392505
3030392503 - Related ISBNs:
- 9783030392499
303039249X - Notes:
- Note: References-Data Analysis in Setting Action Plans of Telecom Operators-1 Introduction-2 Presentation of the Problem-3 Main Telecom Operators Portfolio-4 Methodological Aspects-5 Proposed Implementation Roadmap-6 Proposed/Recommended Architecture for Information System-7 Hub Services Based on Location Positions-8 Conclusion-References-Extending Model-Driven Development Process with Causal Modeling Approach-1 Introduction-2 Causality and Causal Modeling of Enterprise-3 Causal Model of Enterprise-4 Evaluation of MDA/MDD Process Gaps
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- British Library HMNTS - ELD.DS.491493
- Ingest File:
- 03_053.xml