Yayın tarihi için Elektrik-Elektronik Mühendisliği Bölümü Bildiri & Sunum Koleksiyonu listeleme
Toplam kayıt 72, listelenen: 61-72
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Impact of EV Parking Lot on Distribution System Reliability
(IEEE, 2018)Due to the aggregating feature of the parking lot, it can be served as a distributed energy resource (DER) for distribution grid. This study presents the impact of electric vehicle parking lot (EV PL) on distribution system ... -
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 ... -
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. ... -
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 ... -
Automatic Analysis of CMAP Scan Data on Healthy Controls and Motor Neuron Patients
(IEEE, 2018)In this study, motor response recordings were acquired from thenar and hypothenar muscles of poliomyelitis survivors, ALS patients and healthy participants by using CMAP Scan method. CMAP Scan curve was plotted by using ... -
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 ... -
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 ... -
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 ... -
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 ... -
Multiband Microstrip Elliptical Monopole Antenna Design with Mushroom-Like Loadings for DCS, 5G and Ku-Band Applications
(Springer Science and Business Media Deutschland GmbH, 2023)In this study, a compact multiband, low-profile and low-cost microstrip antenna design covering DCS (Digital Cellular System, 1.7–1.8 GHz), mid-band 5G and Ku-band has been realized. The proposed monopole antenna consists ... -
Analysis of Deep Learning Sequence Models for Short Term Load Forecasting
(Springer Science and Business Media Deutschland GmbH, 2023)Short Term Load Forecasting (STLF) is an essential part of generator scheduling in power plants. Better scheduling is crucial for both economic and environmental aspects. In this study, two different deep learning (DL) ...