Now showing items 276-280 of 280

  • Wavelet-based cognitive SCMA system for mmWave 5G communication networks 

    Fifth generation (5G) communication networks can achieve high spectral efficiency using sparse code multiple access (SCMA) scheme when large number of users are trying to transmit their data simultaneously. The sparsity of SCMA codewords offers the possibility of applying a low-complexity message passing algorithm as an alternative to maximum likelihood detector. However the requirement of densely deployed 5G users is to opportunistically explore new frequencies via cognitive features to overcome ...

  • Weight Exchange in Distributed Learning 

    Neural networks may allow different organisations to extract knowledge from the data they collect about a similar problem domain. Moreover learning algorithms usually benefit from being able to use more training instances. But the parties owning the data are not always keen on sharing it. We propose a way to implement distributed learning to improve the performance of neural networks without sharing the actual data among different organisations. This paper deals with the alternative methods of ...

  • Weight Exchange in Distributed Learning 

    Authors:Dorner, Julian; Favrichon, Samuel; Öǧrenci, Arif Selçuk
    Publisher and Date:(IEEE, 2016)
    Neural networks may allow different organisations to extract knowledge from the data they collect about a similar problem domain. Moreover learning algorithms usually benefit from being able to use more training instances. But the parties owning the data are not always keen on sharing it. We propose a way to implement distributed learning to improve the performance of neural networks without sharing the actual data among different organisations. This paper deals with the alternative methods of ...

  • Why do students prefer search engines over academic databases 

    Authors:Öǧrenci, Arif Selçuk
    Publisher and Date:(IEEE Computer Society, 2013)
    Students' preference of search engines in online information retrieval has been a problem for several reasons. This work tries to share our experience about the reasons why they do not utilize academic databases. Past experiences seeking convenience and the availability of automatic translation in search engines seem to be the main reasons. Several suggestions are offered that aim to increase the level of competency of students in utilizing academic databases. Furthermore students should also be ...

  • Why Do Students Prefer Search Engines Over Academic Databases 

    Authors:Öǧrenci, Arif Selçuk
    Publisher and Date:(IEEE, 2013)
    Students' preference of search engines in online information retrieval has been a problem for several reasons. This work tries to share our experience about the reasons why they do not utilize academic databases. Past experiences seeking convenience and the availability of automatic translation in search engines seem to be the main reasons. Several suggestions are offered that aim to increase the level of competency of students in utilizing academic databases. Furthermore students should also be ...