Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Vocabulary Exercise Book for Off-line.Readings 0.5
Date
2017-01-01
Author
Duran Ataalp, Özlem
Kök, Çağlar
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
1537
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/70253
Collections
Department of Basic English, Book / Book chapter
Suggestions
OpenMETU
Core
Semantic Edge Caching and Prefetching in 5G
MEHTEROĞLU, Can; DURMUŞ, Yunus; Onur, Ertan (2017-01-11)
Recent popularity of mobile devices increased the demand for mobile network services and applications that require minimal delay. 5G mobile networks are expected to provide much lesser delay than the present mobile networks. One of the conventional ways for decreasing the latency is caching the content closer to the end user. However, currently deployed methods are not effective enough. In this work-in-progress paper, we propose a new astute caching strategy that is able to smartly predict subsequent user r...
Dictionary learning for efficient classification with 1-sparse representations
Engin, Ege; Vural, Elif; Department of Electrical and Electronics Engineering (2018)
Sparse representations have the goal of expressing a given signal as a linear combination of a small number of signals that capture well its characteristics. Dictionary models allowing sparse representations have proven to be quite useful for the treatment and analysis of data in recent years. In particular, the learning of dictionaries in a manner adapted to the characteristics of each data class in a supervised learning problem and representing the data with the learned dictionaries significantly improve ...
Semantic prefetching and caching in 5G
Mehteroğlu, Can; Onur, Ertan; Department of Computer Engineering (2017)
Recent popularity of mobile devices increased the demand for mobile network services and applications that require minimal delay. 5G mobile networks are expected to provide much lesser delay than the present mobile networks. One of the conventional ways for decreasing latency is caching content closer to end users. However, currently deployed methods are not effective enough. In this thesis, we propose a new astute caching strategy that is able to smartly predict subsequent user requests and prefetch necess...
Comprehension of case in German children
Özge, Duygu; Muenster, Katja; Knoeferle, Pia; Küntay Copty, Ayşe Aylin; Snedeker, Jesse (null; 2015-03-19)
Reading Strategies for the Intermediate Level
Bıçak Hasso, Sevinç; Vecdi Özbilen, Münire; Tümkaya, Umman (METU Press, 2016-01-01)
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
Ö. Duran Ataalp and Ç. Kök,
Vocabulary Exercise Book for Off-line.Readings 0.5
. 2017.