• An Analysis of Data Production Based on the Consistency of Decision Matrices 

      Sahin, Bekir; Yazidi, Anis; Roman, Dumitru; Uddin, Md Zia; Soylu, Ahmet (Lecture Notes in Networks and Systems;Volume 307, Peer reviewed; Journal article, 2021-08-24)
      Multi-criteria decision making methods are used to solve numerous problems related to several disciplines such as engineering, management and business. Consistency of a decision making application is of crucial importance ...
    • A deep learning-based tool for automatic brain extraction from functional magnetic resonance images of rodents 

      Gulden Dahl, Annelene; Nichele, Stefano; Mello, Gustavo (Peer reviewed; Journal article, 2021)
      Removing skull artifacts from functional magnetic images (fMRI) is a well understood and frequently encountered problem. Because the fMRI field has grown mostly due to human studies, many new tools were developed to handle ...
    • Distance Estimation Methods for Smartphone-Based Navigation Support Systems 

      Kuriakose, Bineeth; Shrestha, Raju; Sandnes, Frode Eika (Lecture Notes in Networks and Systems;295, Conference object, 2021-08-03)
      Distance estimation is a key element of a navigation system. Various methods and instruments are used in distance estimation procedures. The methods and instruments used usually depend on the contexts of the application ...
    • Improving vehicle localization with two low-cost GPS receivers 

      Namazi, Elnaz; Mester, Rudolf; Lu, Chaoru; Log, Markus Metallinos; Li, Jingyue (Lecture Notes in Networks and Systems;Volume 393, Conference object, 2021)
      A primary concern of intelligent traffic management systems (ITMS) is to collect necessary traffic data. Vehicle position is one of the most important data types to manage traffic effectively. Most current approaches to ...
    • Improving Vehicle Localization with Two Low-Cost GPS Receivers 

      Namazi, Elnaz; Mester, Rudolf; Lu, Chaoru; Log, Markus Metallinos; Li, Jingyue (Lecture Notes in Networks and Systems;393, Conference object, 2021-01-01)
      A primary concern of Intelligent Traffic Management Systems (ITMSs) is to collect the required traffic data. Vehicle position is one of the most important data types to manage traffic effectively. In this regard, Global ...
    • On Converting Crisp Failure Possibility into Probability for Reliability of Complex Systems 

      Sahin, Bekir; Yazidi, Anis; Roman, Dumitru; Uddin, Md Zia; Soylu, Ahmet (Lecture Notes in Networks and Systems;Volume 308, Peer reviewed; Journal article, 2021-08-24)
      The reliability of complex systems is analyzed based on several systematic steps using many safety engineering methods. The most common technique for safety system analysis and reliability, vulnerability and criticality ...
    • A Systematic Review of Differences Between Conventional Orthoses and 3D-Printed Orthoses 

      Rodrigues, Ana Claudia Tavares; Garcez, Letícia Vasconcelos Morais; Medola, Fausto Orsi; Baleotti, Luciana Ramos; Sandnes, Frode Eika; Vaezipour, Atiyeh (Lecture Notes in Networks and Systems;Volume 274, Conference object, 2021-07-04)
      Rapid prototyping and 3D printing technologies have been innovative options for orthotic development, that are assistive devices applied to any part of the body to different disabilities or injuries. The aim of the study ...
    • Towards AI-powered Cybersecurity Attack Modeling with Simulation Tools: Review of Attack Simulators 

      Alzarqawee, Aws Naser Jaber; Fritsch, Lothar (Lecture Notes in Networks and Systems;Volume 571, Conference object, 2023-10-18)
      Cybersecurity currently focuses primarily on defenses that detect and prevent cyber-attacks. However, it is more important to regularly verify an organization’s security posture to reinforce its cybersecurity defenses as ...