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Fonksiyonel optik elemanlar için kompozit metayüzeyler
(TOBB ETÜ Fen Bilimleri EnstitüsüTOBB University of Economics and Technology,Graduate School of Engineering and Science, 2018)
Işığın dalga cephesi manipülasyonu ile genliğinin, polarizasyonunun ve davranışının kontrol edilebileceği bilinmektedir. Günümüzde bu manipülasyonu yapabilen optik elemanlar bulunmaktadır. Bu optik elemanlar geleneksel ...
Efficient Near-duplicate Image Detection with Created Feature Subset
(IEEE, 2016)
The creation of distinctive subset of the interest points for near-duplicate image detection is significant in two terms. The former is that the query time decreases reasonably. The latter is that using the distinctive ...
Automatic Image selection from Images with Similar Contents
(IEEE, 2017)
With the increased use of smart devices, digital cameras and abundance of memory in the devices, the pictures of the same scenes have been taken several times, resulting in a number of images consisting of the same or very ...
Communication / Computation Trade-offs in Wireless Sensor Networks: Comparing Network-Level and Node-Level Strategies
(IEEE, 2014)
In wireless sensor networks, nodes having limited battery resources convey data to an energy-unconstrained base station. The amount of data transmitted by a node usually depends on how much local processing is performed. ...
Deep Learning of Micro-Doppler Features for Aided and Unaided Gait Recognition
(IEEE, 2017)
Remote health monitoring is a topic that has gained increased interest as a way to improve the quality and reduce costs of health care, especially for the elderly. Falling is one of the leading causes for injury and death ...
An Approach to Multi-Agent Pursuit Evasion Games Using Reinforcement Learning
(IEEE, 2015)
The game of pursuit-evasion has always been a popular research subject in the field of robotics. Reinforcement learning, which employs an agent's interaction with the environment, is a method widely used in pursuit-evasion ...
An artificial neural network-based stock trading system using technical analysis and big data framework
(Association for Computing Machinery, Inc., 2017-04-13)
In this paper, a neural network-based stock price prediction and trading system using technical analysis indicators is presented. The model developed first converts the financial time series data into a series of buy-sell-hold ...
A Top-Down k-Anonymization Implementation for Apache Spark
(IEEE, 2017)
Data science continues to evolve with each passing day and upgrades itself according to the exponentially increasing amount of data. The progression provides convenience to extract meaningful information from the huge ...
Usability of authentication mechanisms in secure messaging applications
(IEEE, 2018-07)
oday, the increasing popularity of instant messaging applications has introduced some security measures. One of these security measures is the authentication activity that users need to make. Authentication in instant ...
Anonymity in Multi-Instance Micro-Data Publication
(SPRINGER, 2014)
In this paper we study the problem of anonymity in multi-instance (MI) micro-data publication. The classical k-anonymity approach is shown to be insufficient and/or inappropriate for MI databases. Thus, it is extended to ...
