Başlık için Bildiri Koleksiyonu listeleme
Toplam kayıt 51, listelenen: 10-29
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Deep learning for inverse problems in imaging
(IEEE, 2019)Inverse problems have been widely studied in image processing, with applications in areas such as image denoising, blind/non-blind deblurring, super-resolution and compressive sensing. Lately deep learning techniques and ... -
Deep learning-based blind image super-resolution using iterative networks
(Institute of Electrical and Electronics Engineers Inc., 2021)Deep learning-based single image super-resolution (SR) consistently shows superior performance compared to the traditional SR methods. However, most of these methods assume that the blur kernel used to generate the ... -
Detecting spam tweets using machine learning and effective preprocessing
(Association for Computing Machinery, Inc, 2021)Nowadays, with the rapid increase in popularity of online social networks (OSNs), these platforms are realized as ideal places for spammers. Unfortunately, these spammers can easily publish malicious content, advertise ... -
Driver drowsiness detection by employing CNN and DLIB
(IEEE (Institute of Electrical and Electronics Engineers), 2021)Every year thousands of people lose their life due to road accidents. One of the main reasons for these accidents is driver drowsiness. In driver drowsiness, the driver slept while driving, which causes the road accident, ... -
Enhanced physical layer security by OFDM signal transmission in fractional Fourier domains
(Institute of Electrical and Electronics Engineers, 2015)The main idea of physical layer security for wireless communications is making the transmitted signal as meaningless for eavesdroppers. It can be achieved by signal processing techniques. In this study, fractional Fourier ... -
The evaluation of word embedding models and deep learning algorithms for Turkish text classification
(IEEE (Institute of Electrical and Electronics Engineers), 2019)The use of word embedding models and deep learning algorithms are currently the most common and popular trends to enhance the overall performance of a text classification/categorization system. Word embedding models are ... -
Exploring gene expression and clinical data for identifying prostate cancer severity levels using machine learning methods
(Institute of Electrical and Electronics Engineers Inc., 2023)Prostate cancer (PCa) is the most common type of cancer in men worldwide. It is a cancer that starts in the small walnut-shaped male gland called the prostate. From the prostate, it can form a metastasis into other organs. ... -
Geniş alan görüntülerinde anomali tespiti
(Institute of Electrical and Electronics Engineers Inc., 2021)Bu çalışma hava araçlarından çekilmiş geniş alan görüntülerindeki anomalileri tespit etmek ile ilgilidir. Anomali kümesi normal seyrin dışındaki her şey olarak belirlenmiştir. Bu amaçla iki farklı veri seti kullanılmış ve ... -
H-OCS: A hybrid optic cup segmentation of retinal images
(Springer Science and Business Media Deutschland GmbH, 2021)Glaucoma is the second leading cause of irreversible vision loss. Early diagnosis and treatment can, however, slow the progression of the disease. Specialists making this diagnosis rely on several tests and examinations ... -
Hot topic detection and evaluation of multi-relation effects
(Association for Computing Machinery, Inc, 2021)With the growth of social media, Twitter has become one of the most popularly used microblogging communication platforms between people. Due to the wide preference of Twitter, popular issues in public, events like local ... -
Hybrid CPU-GPU acceleration of a multithreaded image stitching algorithm
(Institute of Electrical and Electronics Engineers Inc., 2022)Real-time image stitching is critical, especially in un-manned aerial vehicles, and its acceleration has received attention in recent years. This paper describes an image stitching acceleration scheme for heterogeneous ... -
IEEE 802.11af ve 802.22 sistemlerinin uyumlu çalışmaları için meşgul ton tabanlı güç kontrolü
(Institute of Electrical and Electronics Engineers Inc., 2017)Bu bildiride, IEEE 802.22 ve IEEE 802.11af kablosuz sistemlerinin TV beyaz boşluğunda uyumlu çalışabilmeleri için meşgul ton tabanlı yeni bir güç kontrol algoritması önerilmiştir. Daha önceki meşgul ton tabanlı çalışmalardan ... -
Improved YOLOv4 for aerial object detection
(Institute of Electrical and Electronics Engineers Inc., 2021)Drones equipped with cameras are being used for surveillance purposes. These surveillance systems need vision-based object detection of ground objects which look very small because of the altitude of drones. We propose an ... -
Infrared-to-optical image translation for keypoint-based image registration
(Institute of Electrical and Electronics Engineers Inc., 2022)Multi-modal image registration is a critical step in many remote sensing and visual navigation applications. While image registration techniques developed for single modality images do not perform well for multi-modal ... -
Investigating the roles of micrornas / lncrnas in characterizing breast cancer subtypes and prognosis
(2023)Molecular subtyping is a method of separating tumor clusters in a cancer type with common features according to molecular data and classification models. Genome datasets are taken from many different people and some genetic ... -
Iterative kernel reconstruction for deep learning-based blind image super-resolution
(IEEE Computer Society, 2022)Deep learning based methods have received a great deal of interest in recent years to solve the single image superresolution (SISR) problem and their performance is proven to be superior when compared to classical SR ... -
KoExPubMed: A tool for effective and customized knowledge extraction from PubMed
(2023)An exponential growth in the literature in general and the medical literature in particular raises a need for effective intelligent analysis strategies and tools to provide valuable insights to researchers about the current ... -
Low-complexity deep learning-based beamforming in MISO systems
(Institute of Electrical and Electronics Engineers Inc., 2021)This study proposes a low-complexity deep learning-based beamforming neural network (BFNN) for massive multiple-input single-output (MISO) systems. We adopt an unsupervised learning-based convolutional neural network (CNN) ... -
Matching applicants with positions for better allocation of employees in the job market
(IEEE (Institute of Electrical and Electronics Engineers), 2021)Nowadays most people who are looking for a job use the Internet, visiting websites like Linkedin or Indeed so they must face hundreds of recruitment companies and job ads. The process of applying for a job is time consuming ... -
A model based on random walk with restart to predict circRNA-disease associations on heterogeneous network
(Association for Computing Machinery, 2019)Recent studies show that circRNAs have critical roles in many biological processes. Knowing the associations between circRNAs and diseases may contribute to the understanding of the mechanism of circRNAs and to the diagnostic ...