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  1. 3101
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    Advanced Signal Processing in Wearable Sensors for Health Monitoring

    Published 2022
    Subjects: “…extreme learning machine…”
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  2. 3102
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    Chapter 2 Fundamental Database Concepts

    Published 2024
    Subjects: “…Big spatial data, Cloud computing, Fair information practices, GeoAI, Geosensor networks, GIS, Graph databases, Machine learning, Spatial algorithms, Web mapping…”
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  3. 3103
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    Chapter 3 Fundamental Spatial Concepts

    Published 2024
    Subjects: “…Big spatial data, Cloud computing, Fair information practices, GeoAI, Geosensor networks, GIS, Graph databases, Machine learning, Spatial algorithms, Web mapping…”
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  4. 3104
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    Chapter 8 Cartography and Geovisualization

    Published 2024
    Subjects: “…Big spatial data, Cloud computing, Fair information practices, GeoAI, Geosensor networks, GIS, Graph databases, Machine learning, Spatial algorithms, Web mapping…”
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  5. 3105
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    Chapter 9 Artificial Intelligence and GIS

    Published 2024
    Subjects: “…Big spatial data, Cloud computing, Fair information practices, GeoAI, Geosensor networks, GIS, Graph databases, Machine learning, Spatial algorithms, Web mapping…”
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  6. 3106
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    GIS A Computing Perspective Third Edition

    Published 2024
    Subjects: “…Big spatial data, Cloud computing, Fair information practices, GeoAI, Geosensor networks, GIS, Graph databases, Machine learning, Spatial algorithms, Web mapping…”
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  7. 3107
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    Chapter 1 Introduction

    Published 2024
    Subjects: “…Big spatial data, Cloud computing, Fair information practices, GeoAI, Geosensor networks, GIS, Graph databases, Machine learning, Spatial algorithms, Web mapping…”
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  8. 3108
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    GIS A Computing Perspective Third Edition

    Published 2024
    Subjects: “…Big spatial data, Cloud computing, Fair information practices, GeoAI, Geosensor networks, GIS, Graph databases, Machine learning, Spatial algorithms, Web mapping…”
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  9. 3109
    Cover Image

    Chapter 1 Introduction

    Published 2024
    Subjects: “…Big spatial data, Cloud computing, Fair information practices, GeoAI, Geosensor networks, GIS, Graph databases, Machine learning, Spatial algorithms, Web mapping…”
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  10. 3110
    Cover Image

    Chapter 2 Fundamental Database Concepts

    Published 2024
    Subjects: “…Big spatial data, Cloud computing, Fair information practices, GeoAI, Geosensor networks, GIS, Graph databases, Machine learning, Spatial algorithms, Web mapping…”
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  11. 3111
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    Chapter 3 Fundamental Spatial Concepts

    Published 2024
    Subjects: “…Big spatial data, Cloud computing, Fair information practices, GeoAI, Geosensor networks, GIS, Graph databases, Machine learning, Spatial algorithms, Web mapping…”
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  12. 3112
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    Chapter 8 Cartography and Geovisualization

    Published 2024
    Subjects: “…Big spatial data, Cloud computing, Fair information practices, GeoAI, Geosensor networks, GIS, Graph databases, Machine learning, Spatial algorithms, Web mapping…”
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  13. 3113
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    Chapter 9 Artificial Intelligence and GIS

    Published 2024
    Subjects: “…Big spatial data, Cloud computing, Fair information practices, GeoAI, Geosensor networks, GIS, Graph databases, Machine learning, Spatial algorithms, Web mapping…”
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  14. 3114
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    Applied and Computational Statistics by Bolboac?, Sorana D.

    Published 2020
    Subjects: “…machine learning…”
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  15. 3115
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    Exact and Heuristic Scheduling Algorithms by Werner, Frank

    Published 2020
    Subjects: “…uniform parallel machine problems…”
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  16. 3116
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    Overcoming Data Scarcity in Earth Science by Etcheverry Venturini, Lorena

    Published 2020
    Subjects: “…support vector machines…”
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  17. 3117
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    Big Data in Dental Research and Oral Healthcare

    Published 2021
    Subjects: “…machine learning (ML)…”
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  18. 3118
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    Advances in Artificial Intelligence Methods Applications in Industrial Control Systems

    Published 2023
    Subjects: “…machine learning…”
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  19. 3119
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    Advanced Computational Methods for Oncological Image Analysis

    Published 2021
    Subjects: “…unsupervised machine learning…”
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  20. 3120
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    KI-Realitäten Modelle, Praktiken und Topologien maschinellen Lernens

    Published 2023
    Subjects: “…Machine Learning…”
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