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Performance evaluation of unfolded sparse matrix-vector multiplication
(2015-01)
Sparse matrix-vector multiplication (spMV) is a kernel operation in scientific com- putation. There exist problems where a matrix is repeatedly multiplied by many different vectors. For such problems, specializing the spMV ...
Human movement recognition with dynamic movement primitives
(2015-09)
Dynamic Movement Primitives (DMPs)-originally a method for movement trajectory generation has been also used for recognition tasks. However there has not been a systematic comparison between other recognition methods and ...
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 ...
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