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Now showing items 11-20 of 23
An investigation into thermal and optical performance of multi-purpose LED automotive exterior lighting systems
(2015-12)
Vehicle lighting is important for both security and comfort. In addition, external lighting standards need to be reliable and are subject to international norms for the prevention of accidents. For this reason, automobile ...
Simultaneous human-robot learning for efficient skill synthesis
(2015-08)
Yakın gelecekte robotların ve otonom birimlerin günlük yaşamımızın bir parçası haline geleceği beklenmektedir. Fakat, robotları bütün olası görevler için klasik yöntemlerle programlamak mümkün değildir. Bu sebeple, robot ...
Intelligent information gathering for open world policy reasoning
(2015-08)
Sistem politikaları her birimin kendi hedeflerine ulaşmaya çalıştığı çoklu etmen sistemlerinde önemli bir rol oynamaktadır. Politikalar ve ilgili mekanizmalar birimlerin kötü niyetli ve istenmeyen faaliyetlerini engellemek ...
Portable devices for In-Vitro characterization based on ultrasound
(2015-08)
Bu projede taşınabilir kartuş tabanlı lab-on-a-chip platformu öneriliyor. Ve bu platformun ana algılama mekanizması yüksek frekanslı akustik dalgalar ile çalışmaktadır. Biyolojik ölçümler için iki farklı transdüserin ...
Performance analysis of multi-relay free space optical communication systems
(2015-01)
Free space optical (FSO) communication has attracted a great attention in recent years because of their high bandwidth capacity in unregulated spectrum which makes them a cost-effective and easy-to-install alternative to ...
Profit-driven non-linear classification with applications to credit card fraud detection, churn prediction, direct marketing, and credit scoring
(2015-11)
The rapid growth in data capture and computational power has led to an increasing focus on data-driven research. So far, most of the research is focused on predictive modeling using statistical optimization where it is ...
Profit-oriented classification : new approaches and business applications
(2015-11)
Classification problems are the most common prediction problems that have traditionally been tackled by the data mining (DM) algorithms. The objective taken in these algorithms is a statistical one aimed to minimize the ...
Design and modeling of a parallel robot for ultrasound guided percutaneous needle interventions
(2015-08)
Percutaneous needle operations need precise positioning in order to collect samples for diagnosis. Due to their robustness, accuracy robotic systems started to take place in medical procedures. Research that have been done ...
Computational approaches to brain mechanisms of action recognition and emotion
(2015-08)
Through evolution living beings have gained unique features to deal with apparently easy but computationally expensive problems such as mate selection, learning sensorimotor skills and decision making. Thus, understanding ...
Reproducing field failures based on semi-formal failure scenario descriptions
(2015-06)
Due to the increasing size and complexity of software systems, it becomes hard to test these systems exhaustively. As a result, some faults can be left undetected. Undetected faults can lead to failures in deployed systems. ...
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