Ara
Toplam kayıt 497, listelenen: 491-497
Detection and Conditioning of EMG
(IGI GLOBAL, 2019)
In this chapter, the monitoring of the electrical activity of skeletal muscles is depicted. The main components of the detection and conditioning of the EMG signals is explained in the sense of the biomedical instrumentation. ...
Searching for beauty-fully bound tetraquarks using lattice nonrelativistic QCD
(American Physical Society, 2018)
Using a data sample of (448.1±2.9)×106 ?(3686) events collected with the BESIII detector at the BEPCII collider, we present measurements of branching fractions for the decays ?cJ??+?- and ?0?0. The decays ?c1,2??+?- and ...
Evolution and future trends in global research on cadastre: a bibliometric analysis
(Springer, 2019)
In this article, the global research status and future trends of cadastre were evaluated by using bibliometric analysis. This study is based on the analysis of research topics, scientific production, collaboration among ...
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 ...