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Showing 61-80 of 10,000 results
  1. Network Robustness Improvement Based on Alternative Paths Consideration

    Many transportation networks have complex infrastructures (road, rail, airspace, etc.). The quality of service in air transportation depends on...
    Jean-Claude Lebègue, Daniel Delahaye, Jacco Hoekstra in Intelligent Transport Systems
    Conference paper 2024
  2. Drivers, Barriers, and Enablers of Digital Transformation in Maritime Ports Sector: A Review and Aggregate Conceptual Analysis

    This paper develops a conceptual framework for digital transformation in the maritime ports sector. The study combines a systematic literature review...
    Benjamin Mosses Sakita, Berit Irene Helgheim, Svein Bråthen in Intelligent Transport Systems
    Conference paper 2024
  3. Federated Learning for Drowsiness Detection in Connected Vehicles

    Ensuring driver readiness poses challenges, yet driver monitoring systems can assist in determining the driver’s state. By observing visual cues,...
    William Lindskog, Valentin Spannagl, Christian Prehofer in Intelligent Transport Systems
    Conference paper 2024
  4. Results of University Curricula Analysis

    This chapter introduces the competency goals of selected introductory programming modules at German universities as a result of the qualitative...
    Natalie Kiesler in Modeling Programming Competency
    Chapter 2024
  5. Approaching the Concept of Competency

    The concept of competency is one of the core elements in this book. For this reason, it is crucial to illustrate several approaches to the definition...
    Natalie Kiesler in Modeling Programming Competency
    Chapter 2024
  6. Data Gathering of Guided Expert Interviews

    In addition to the gathering and analysis of curricula data, guided interviews with experts were conducted to identify further competencies expected...
    Natalie Kiesler in Modeling Programming Competency
    Chapter 2024
  7. Introduction

    This chapter reflects on the starting point of the research on programming competency presented in this book. The main motivation is constituted by...
    Natalie Kiesler in Modeling Programming Competency
    Chapter 2024
  8. Introduction to Authentication. User Login, Logout, and Registration

    In this chapter, we will update the project seen in the previous chapter. In particular, we will briefly demonstrate how to make use of Identity in...
    Chapter 2024
  9. Routing, Models, and Controllers

    In this chapter, we add the project started in Chap. 6 and demonstrate how to make use of concepts such as...
    Chapter 2024
  10. Consistent Look: Layouts, Friendly Error Pages, and Environments

    In this chapter, we will update the project seen in the previous chapter. In particular, we will demonstrate how to make use of layouts and friendly...
    Chapter 2024
  11. Appendix G: TurtleScreen Methods

    in the Python shell. In the documentation found here the variable turtle is a reference to a Turtle object and screenScreenoperators and methods is a...
    Kent D. Lee, Steve Hubbard in Data Structures and Algorithms with Python
    Chapter 2024
  12. Balanced Binary Search Trees

    In chapter 6 binary search trees were defined along with a recursive insert algorithm. The discussion of binary search trees pointed out they have...
    Kent D. Lee, Steve Hubbard in Data Structures and Algorithms with Python
    Chapter 2024
  13. Trees

    WhenTree we see a tree in our everyday lives the rootsTreeroot are generally in the ground and the leaves are up in the air. The branches of a tree...
    Kent D. Lee, Steve Hubbard in Data Structures and Algorithms with Python
    Chapter 2024
  14. Sequences

    Computers are really good at dealing with large amounts of information. They can repeat a task over and over again without getting bored. When they...
    Kent D. Lee, Steve Hubbard in Data Structures and Algorithms with Python
    Chapter 2024
  15. Membership Structures

    In Chap. 5 we covered data structures that support insertion, deletion, membership testing, and iteration. For some applications testing membership...
    Kent D. Lee, Steve Hubbard in Data Structures and Algorithms with Python
    Chapter 2024
  16. Heaps

    The word heap is used in a couple of different contexts in Computer Science. A heap sometimes refers to an area of memory used for dynamic (i.e....
    Kent D. Lee, Steve Hubbard in Data Structures and Algorithms with Python
    Chapter 2024
  17. B-Trees

    This chapter covers one of the more important data structures of the last thirty years. B-Trees are primarily used by relational databases to...
    Kent D. Lee, Steve Hubbard in Data Structures and Algorithms with Python
    Chapter 2024
  18. Appendix F: Turtle Methods

    in the Python shell. In the documentation found here the variable turtle is a reference to a Turtle objectTurtlemethods. This is a subset of that...
    Kent D. Lee, Steve Hubbard in Data Structures and Algorithms with Python
    Chapter 2024
  19. Images

    In this chapter, we will add the ability to store image files for display in our blog posts. We will leverage the Active Storage gem to provide much...
    Chapter 2024
  20. Page Tags

    In our previous chapter, we built out features for our Page objects. We added a way to search for pages by keyword and a way to look up archives of...
    Chapter 2024
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