Yayıncı "Institute of Electrical and Electronics Engineers Inc." Elektrik-Elektronik Mühendisliği Bölümü Bildiri & Sunum Koleksiyonu için listeleme
Toplam kayıt 12, listelenen: 1-12
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Assessment of ManSeg 2.6b application's accuracy [ManSeg 2.6b Uygulama Başarisinin De?erlendirilmesi]
(Institute of Electrical and Electronics Engineers Inc., 2018)The present study aims to demonstrate a new fully/semi-automated segmentation tool, ManSeg 2.6b, for calculating the volume of the abdominal organs. In order to validate the accuracy, a phantom study was developed and the ... -
Colonic polyp classification using projection image and convolutional neural network
(Institute of Electrical and Electronics Engineers Inc., 2019)Nowadays, Computer-aided detection (CAD) systems are used to assist radiologists to detect colonic polyps. In this work, we aimed to develop convolutional neural network based classification system for automated detection ... -
Computed aided detection of traumatized kidneys in CT images
(Institute of Electrical and Electronics Engineers Inc., 2017)In this work, we developed a novel method to diagnose traumatized kidney in the presence of laceration, contusion and active bleeding due to abdominal trauma. Our CAD system performs 94,44% of sensitivity at 0.13 false ... -
Determining MUAP Activity Corridor In Scanning EMG Recordings
(Institute of Electrical and Electronics Engineers Inc., 2015)In scanning EMG recordings there are more than one motor unit activity which is recorded by concentric needle electrode. Especially for determining features of a motor unit action potential (MUAP) such as phase duration ... -
Early prediction of sepsis from clinical data using artificial intelligence
(Institute of Electrical and Electronics Engineers Inc., 2019)Sepsis is a major cause of death in the world. World Health Organization estimates 30 million people developing sepsis and 6 million people die from sepsis each year; an estimated 4.2 million newborns and children are ... -
The Effect of F-response Parameters in ALS and Polio Patients
(Institute of Electrical and Electronics Engineers Inc., 2020)In this study, 300 signal records were acquired in each session using surface electrode under submaximal stimulation. Data set were formed from 10 ALS and Polio patients with 10 normal individuals. The muscle group under ... -
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 ... -
Karaciğer görüntülerinin geometrik dönüşüm yöntemleri kullanılarak benzerliklerinin değerlendirilmesi
(Institute of Electrical and Electronics Engineers Inc., 2016)In this study, similarity rates of the liver images are determined using 3D geometric transformation methods and numerical comparisons are made. Three geometric transformation methods scaling, rotating, and translating are ... -
Occupancy detection from temperature, humidity, light, CO2 and humidity ratio measurements using machine learning techniques
(Institute of Electrical and Electronics Engineers Inc., 2018)Order to save energy and to use energy resources efficiently, automatic occupancy determination based on sensor information is performed and energy is adjusted according to the demand in a closed area. In this study is ... -
A preliminary study for remote healthcare system: Activity classification for elder people with on body sensors
(Institute of Electrical and Electronics Engineers Inc., 2018)Development of intelligent care system for elder people have been investigated in recent years. In this study, to detect emergency situations for elder people, activity classification was aimed using on body sensor data. ... -
Spatio-temporal phase synchronizations in very low frequency EEG oscillations: A preliminary study of synchronization, localization and stability
(Institute of Electrical and Electronics Engineers Inc., 2018)The default-mode connective network (DMN) consists of coherent very-ultra low frequency (VLF) EEG oscillations (0.02-0.2 Hz interval) associated with resting activity and consciousness of the brain. In this study, we aimed ... -
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 ...