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Toplam kayıt 16, listelenen: 11-16
Development of a new algorithm for the estimation of the step percentage in compound muscle action potential scan
(Institute of Electrical and Electronics Engineers Inc., 2019)
Compound Muscle Action Potential (CMAP) Scan used in the diagnosis and in the monitoring of Neuromuscular Diseases is based on recording the responses obtained from the gradual stimulation of a peripheral nerve. Clearly ...
A Joint Design of User Modeling and Resource Management in Cognitive Radio Networks
(IEEE Computer Society, 2019)
The limited available spectrum and inefficient spectrum utilization make it necessary to employ dynamic spectrum access techniques. The key enabling technology for dynamic spectrum access is cognitive radio (CR), which ...
Impacts of feeder failure statistics on EV-supported distribution system reliability improvement
(Institute of Electrical and Electronics Engineers Inc., 2019)
Electric vehicle parking lots (EVPLs) create new alternatives for planning and operation of distribution systems with its aggregated EV potential and charging/discharging coordination. On the other hand, distributed storage ...
Spleen segmentation on CT using convolutional neural network
(Institute of Electrical and Electronics Engineers Inc., 2019)
The automated segmentation systems have been evolving from experimental to clinical applications in radiology. By taking advantage of these, radiologists can increase diagnostic accuracy in their interpretations. In this ...
Object Detection in Shelf Images with YOLO
(Institute of Electrical and Electronics Engineers Inc., 2019)
Object detection in shelf images can solve many problems in retails sales such as monitoring the number of products on the shelves, completing the missing products and matching the planogram continuously. This study aims ...
Comparison of machine learning techniques on MS lesion segmentation
(Institute of Electrical and Electronics Engineers Inc., 2019)
Multiple sclerosis arises with conformational change in myelin sheath. Magnetic resonance imaging is frequently used in detection of MS. In this study, to figure out MS lesion, machine learning techniques, namely k means ...