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
Balooning modes in multiple-mirror magnetic field the research of thermonuclear fusion.
Download
056495.pdf
Date
1996
Author
San, Sait Eren
Metadata
Show full item record
Item Usage Stats
170
views
57
downloads
Cite This
URI
https://hdl.handle.net/11511/9086
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
CRoM and HuspExt: Improving Efficiency of High Utility Sequential Pattern Extraction
Alkan, Oznur Kirmemis; Karagöz, Pınar (Institute of Electrical and Electronics Engineers (IEEE), 2015-10-1)
High utility sequential pattern mining has been considered as an important research problem and a number of relevant algorithms have been proposed for this topic. The main challenge of high utility sequential pattern mining is that, the search space is large and the efficiency of the solutions is directly affected by the degree at which they can eliminate the candidate patterns. Therefore, the efficiency of any high utility sequential pattern mining solution depends on its ability to reduce this big search ...
CRoM and HuspExt: Improving Efficiency of High Utility Sequential Pattern Extraction
Alkan, Oznur Kirmemis; Karagöz, Pınar (2016-05-20)
This paper presents efficient data structures and a pruning technique in order to improve the efficiency of high utility sequential pattern mining. CRoM (Cumulated Rest of Match) based upper bound, which is a tight upper bound on the utility of the candidates is proposed in order to perform more conservative pruning before candidate pattern generation in comparison to the existing techniques. In addition, an efficient algorithm, HuspExt (High Utility Sequential Pattern Extraction), is presented which calcul...
Balkusan Dam and HEPP : investigation of better alternatives to EİEİ formulation
Çetinkaya, Mehmet Akın; Kentel Erdoğan, Elçin; Department of Civil Engineering (2013)
Due to the economic and social growth of Turkey, there is a rapid increase in energy demand. Turkey does not have sufficient natural gas and petroleum reserves; however, it has large hydropower potential. Hydropower is the most widely used form of renewable energy. To generate electricity between elevations 1500 m and 450 m on Balkusan Creek, General Directorate of Electrical Power Resources Survey and Development Administration (EIEI) conducted a feasibility study for a hydroelectric power plant (HEPP) com...
CRoM and HuspExt Improving efficiency of high utility sequential pattern extraction
Kirmemis Alkan, Öznur; Karagöz, Pınar (2016-05-10)
This paper presents efficient data structures and a pruning technique in order to improve the efficiency of high utility sequential pattern mining. CRoM (Cumulated Rest of Match) based upper bound, which is a tight upper bound on the utility of the candidates is proposed in order to perform more conservative pruning before candidate pattern generation in comparison to the existing techniques. In addition, an efficient algorithm, HuspExt (High Utility Sequential Pattern Extraction), is presented which calcul...
GANILLA: Generative adversarial networks for image to illustration translation
Hicsonmez, Samet; Samet, Nermin; Akbaş, Emre; DUYGULU ŞAHİN, PINAR (Elsevier BV, 2020-03-01)
In this paper, we explore illustrations in children's books as a new domain in unpaired image-to-image translation. We show that although the current state-of-the-art image-to-image translation models successfully transfer either the style or the content, they fail to transfer both at the sametime. We propose a new generator network to address this issue and show that the resulting network strikes a better balance between style and content. There are no well-defined or agreed-upon evaluation metrics for unp...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. E. San, “Balooning modes in multiple-mirror magnetic field the research of thermonuclear fusion.,” Middle East Technical University, 1996.