Browsing Interdisciplinary & Smart Design by Title

Now showing items 9-13 of 13

    • The similarity-aware relational intersect database operator 

      Al Marri, Wadha J.; Malluhi, Qutaibah; Ouzzani, Mourad; Tang, Mingjie; Aref, Walid G. ( Springer International Publishing , 2014 , Conference Paper)
      Identifying similarities in large datasets is an essential operation in many applications such as bioinformatics, pattern recognition, and data integration. To make the underlying database system similarity-aware, the core ...

    • Towards robust autonomous driving systems through adversarial test set generation 

      Unal, Devrim; Catak, Ferhat Ozgur; Houkan, Mohammad Talal; Mudassir, Mohammed; Hammoudeh, Mohammad ( ISA - Instrumentation, Systems, and Automation Society , 2023 , Article)
      Correct environmental perception of objects on the road is vital for the safety of autonomous driving. Making appropriate decisions by the autonomous driving algorithm could be hindered by data perturbations and more ...

    • Using Sparse Matrices to Prevent Information Leakage in Cloud Computing 

      Khan K.; Shaheen M.; Wang Y. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      Cloud computing represents the promise of outsourcing of scientific computing such as matrix multiplication. However, this can introduce new vulnerabilities such as information leakage. Cloud server intentionally or ...

    • Using the Sadakane compressed suffix tree to solve the all-pairs suffix-prefix problem 

      Rachid, Maan Haj; Malluhi, Qutaibah; Abouelhoda, Mohamed ( Hindawi , 2014 , Article)
      The all-pairs suffix-prefix matching problem is a basic problem in string processing. It has an application in the de novo genome assembly task, which is one of the major bioinformatics problems. Due to the large size of ...

    • Virtual reality for ambulance simulation environment 

      Halabi, O.; Salahuddin, T.; Karkar, A.G.; Alinier, G. ( Springer , 2022 , Article)
      Simulations are beneficial in evaluating clinicians' empirical competencies through practical skills, prioritizing, and decision-making as part of patient care scenarios generally run in a full-scale physical context. ...