Browsing Scopus Bildiri Koleksiyonu by Title
Now showing items 1-20 of 82
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Application of Adaptive Back-Propagation Neural Networks for Parkinson's Disease Prediction
(Institute of Electrical and Electronics Engineers Inc., 2020)Parkinson's disease (PD) is a common neurodegenerative disease that has affected millions of people worldwide and is more prevalent in older people. Early detection of this disease remains a challenging task. Recently, ... -
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 ... -
Automatic Video Indexing and Retrieval System for Turkish Videos
(Ieee, 2020)A continual increase in multimedia data needs a sophisticated automatic video indexing and retrieval system based on its content. This paper exploited statistical feature along with some morphological operations to detect ... -
Classification of Epileptic Seizures using Artificial Neural Network with Adaptive Momentum
(Institute of Electrical and Electronics Engineers Inc., 2020)Epilepsy seizures are neurological diseases caused by brain disorders. Electroencephalogram (EEG) is a common clinical method to detect epilepsy seizure from EEG signals. Several automated techniques have been proposed for ... -
Coping with COVID-19: Higher Education in the GCC Countries
(Springer Science and Business Media B.V., 2021)Today, the COVID-19 pandemic has, among many other things, tested the resilience of higher education institutions, but profoundly reshaped the management of learning, education and skills development, leading to a rethinking ... -
Critical moment for taxi sector: What should be done by traditional taxi sector after the TNC disruption?
(Springer Verlag, 2019)The biggest change in urban mobility during recent years is introduction of TNCs (Transport Network Companies) like Uber and of course the most important impact of TNC disruption happened on traditional taxi services. It ... -
Çok-Hücreli Masif MIMO Sistemlerde EM/SAGE Algoritmalari Tabanli Yinelemeli Kanal Kestirimi
(Institute of Electrical and Electronics Engineers Inc., 2018)This paper represents efficient expectation-maximization (EM) and space-alternating generalized expectation-maximization (SAGE) algorithm based iterative channel estimation methods for multi-cell massive multiple input ... -
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 ... -
A decision support system for diabetes prediction using machine learning and deep learning techniques
(Institute of Electrical and Electronics Engineers Inc., 2019)With the continuing increase in the number of the deadly diseases that threaten both human health and life, medical Decision Support Systems (DSS) continue to prove their effectiveness in providing physicians and other ... -
Deep and Machine Learning towards Pneumonia and Asthma Detection
(Institute of Electrical and Electronics Engineers Inc., 2021)Machine Learning is a branch of artificial intelligence widely used in the medical field to analyze high-dimensional medical data and the early detection of certain dangerous diseases. Lung diseases continue to increase ... -
Deep Learning-Based Classification of News Texts Using Doc2Vec Model
(Institute of Electrical and Electronics Engineers Inc., 2021)The rapid increment in internet usage has also resulted in bulk gerenation of text data. Therefore, investigation of new techniques for automatic classification of textual content is needed as manually managing unstructured ... -
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 ... -
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 ... -
A digital front-end electronics for the neutron detector NEDA
(IEEE, 2014)This paper presents the design of the NEDA frontend electronics, a first attempt to involve the use of digital electronics in large neutron detector arrays. Among the electronic modules taking part, we emphasize on the ... -
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 ... -
Dynamic routing protocol for virtual cellular networks
(SPRINGER-VERLAG SINGAPORE PTE LTD, 2016)In this paper, a novel dynamic routing protocol is proposed so it is suitable for port addition, removal and link/port failures. The proposed protocol is favorable for virtual cellular networks and it does not suffer in ... -
Effect of calculated VOLL and EENS parameters on reserve planning in power system
(Institute of Electrical and Electronics Engineers Inc., 2019)The steady development in the liberalization of the energy sector has made it necessary to consider new policies on energy planning and to consider some socio-economic costs in addition to production costs. These socio-economic ... -
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 ... -
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 ... -
EM Algorithm Based MAP Channel Estimation for Multi-Cell Massive MIMO Systems
(IEEE, 2018)This paper represents an efficient expectation-maximization (EM) algorithm based maximum a posteriori (MAP) channel estimation method for multi-cell massive multiple input multiple output (MIMO) systems. MAP channel ...
