Bilgisayar Mühendisliği Bölümü Bildiri ve Sunum Koleksiyonu
Recent Submissions
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A digital on-line implementation of a Pulse-Shape analysis algorithm for neutron-gamma discrimination in the NEDA detector
(Nuclear & Plasma Science Society (NPSS), 2016)The detection of rare events close to the proton dripline involve the utilization of high-efficient neutron detectors with excellent neutron-gamma discrimination (NGD) performance. Even though in the literature, several ... -
Local statistical features for multilingual artificial text detection from video images
(2019)Textual information present in videos or images offers very compact and accurate form of information that can be exploited for semantic analysis of multimedia content. This paper exploited statistical features for ... -
Design and test of a high-speed flash ADC mezzanine card for high-resolution and timing performance in nuclear structure experiments [Conference Paper]
(2012)This board will be part of the upgrade for the new electronics for the EXOGAM2 (HP-Ge detector array) and NEDA (BC501A-based neutron detector array), therefore it was necessary to deal with the problem of providing a ... -
An innovative platform for person-centric health and wellness support
(Springer Verlag, 2015)Modern digital technologies are paving the path to a revolutionary new concept of health and wellness care. Nowadays, many new solutions are being released and put at the reach of most consumers for promoting their health ... -
X-band energy harvester with miniaturized on-chip slot antenna implemented in 0.18-μm RF CMOS
(2012)This paper presents a novel fully integrated X-band energy harvester, with on-chip antenna, matching network, and a multi-stage RF-DC rectifier implemented in IBM 0.18-?m RF CMOS technology. We investigated different ... -
Use of PFTNA for on-line coal analysis
(American Nuclear Society, 2015)This study deals with the development of a prototype real time coal analyzer based on Pulsed Fast Thermal Neutron Activation (PFTNA) technique. The measured parameters are calorific value, amount of ash, sulfur, ... -
The effects of augmented training dataset on performance of convolutional neural networks in face recognition system
(Institute of Electrical and Electronics Engineers Inc., 2019)Nowadays, deep learning methods have been used in many areas such as big data analysis, speech and image processing with the increasing processing power and the development of graphics processors. In particular, face ... -
MManagement: Wi-Fi Hotspot based attendance application using android smartphone
(Institute of Electrical and Electronics Engineers Inc., 2019)mManagement is new area for managing the business and human resource tasks that offers services by advance communication technologies and smart devices. Attendance is a hectic and time-consuming process in our daily lives. ... -
A data-driven approach to kinematic analytics of spinal motion
(Institute of Electrical and Electronics Engineers Inc., 2019)A common reason for low back pain can be attributed to postural stress. While seated or walking, bad posture can put strain on the spine. Increased stress on the spine may induce tightness and spasms in the lower back ... -
Overview of big data in smart grid
(Institute of Electrical and Electronics Engineers Inc., 2019)The integration of Electrical power with advanced information and communication technologies has led to an intelligent electricity grid known as the Smart Grid. The Smart Grid has also led to the improvement of the entire ... -
Automatic discriminative feature extraction using Convolutional Neural Network for remote sensing image classification
(Asian Association on Remote Sensing, 2020)Supervised approaches require selection of training samples from all classes and then a set of highly discriminative feature descriptors are extracted to represent each class. Traditional classification methods employee ... -
DNN and CNN approach for human activity recognition
(Institute of Electrical and Electronics Engineers Inc., 2020)One of the common causes of low back pain is postural stress. When sitting or walking, poor posture may result in spinal dysfunction. Increased pressure on the spine can cause tension and spasms in the lumbar muscles and ... -
Effects of glow data augmentation on face recognition system based on deep learning
(Institute of Electrical and Electronics Engineers Inc., 2020)Biometric artificial intelligence application depends on amount of material on which they are trained. In this paper, we integrated Glow data augmentation technique to diversify the facial images dataset to analyze its ... -
Turkish text detection system from videos using machine learning and deep learning techniques
(Institute of Electrical and Electronics Engineers Inc., 2020)With the advancement in smart devices and high-speed internet, a continual increase in videos demands an efficient and automatic video indexing and retrieval system. To accomplish it, content-based video indexing is an ... -
Genişletilmiş destek vektör makinesi kullanarak yüksek boyutlu ve geniş ölçekli anomali saptama
(Ieee, 2018)For multidimensional data, difficult problems are encountered in the anomaly detection process. Unrelated features can hide the presence of anomalies in an indeterminate way. This multidimensional problem, is a serious ... -
Pencereleme tekniklerinin konuşma tanıma sistemi için karşılaştırılması
(Ieee, 2018)Speech recognition, which provides the ability to manage intelligent devices, aims to improve the prediction skill of these devices by extracting the necessary information from the speech signal. In this study, with ... -
Sınıf tabanlı n-gram modeli ile Türkçe anlamlı metin üretme
(Ieee, 2018)Text generation systems provide facilities such as making new information deductions from the existing ones, getting information related to them by going out to a knowledgeable way, and generating more detailed results ... -
Metinden konuşma sentezinde yeni bir geliştirme çerçevesi yaklaşımı
(Ieee, 2018)Text to speech applications are mostly used to extract interaction with the user in high-level multimedia tools. These applications usually produce artificial (robotic) sounds. In this study, instead of synthesizing textual ... -
Özellik vektörlerinde enerji türevleri ile konuşmacı bağımsız Türkçe konuşma tanıma iyileştirmesi
(Ieee, 2018)At the recent times, speech recognition applications, which are increasingly used in smart devices, are gaining importance as they perform well on speaker-independent systems. In this study, an increase is obtained in the ... -
A deep learning-based method for Turkish text detection from videos
(Ieee, 2019)The text appearing in videos provides useful information, which can be exploited for developing automatic video indexing and retrieval systems. In this study, we integrated a heuristic and a deep learning-based method using ...
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