Bildiri Koleksiyonu
Güncel Gönderiler
-
Theoretical limits of soop tdoa localization of unmanned systems with imperfect synchronization
(2023)Self-localization is of crucial importance to Unmanned Aerial Vehicle (UAV) industry. Localization systems such as the Global Positioning System (GPS) are prone to jamming and spoofing. Localization using the Signal-Of-Opportunity ... -
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 ... -
Creating a learning profile by using face and emotion recognition
(2023)The aim of this work is to employ face recognition for creating learning profiles of the analysed persons who are students in this study. Generating education profiles will help experts in the diagnosis of Attention Deficit ... -
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 ... -
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. ... -
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 ... -
Swin transformer based siamese network for thermal and optical image registration
(IEEE-Institute of Electrical and Electronics Engineers, 2023)The process of multi-modal image registration is fundamental in remote sensing and visual navigation applications. However, existing image registration methods that are designed for single modality images do not provide ... -
Real-time web-based International Flight Tickets Recommendation System via Apache Spark
(Institute of Electrical and Electronics Engineers Inc., 2023)Traveling by airplane has become more popular with advanced technology. The tickets can be booked effortlessly via airlines corporation's online platforms. However, recommending the best airline ticket according to the ... -
Classes versus communities: Outlier detection and removal in tabular datasets via social network analysis (ClaCO)
(Institute of Electrical and Electronics Engineers Inc., 2023)In this research, we introduce a model to detect inconsistent & anomalous samples in tabular labeled datasets which are used in machine learning classification tasks, frequently. Our model, abbreviated as the ClaCO (Classes ... -
NetDriller-V3: A powerful social network analysis tool
(Institute of Electrical and Electronics Engineers Inc., 2023)The development in technology has led to the generation of huge amounts of data from various sources, including biological data, social networking data, etc. Accordingly, social network analysis has received considerable ... -
A prediction approach for the functional effects of non-coding gene variants
(Institute of Electrical and Electronics Engineers Inc., 2022)The aim of this study is to develop an approach for predicting the functional effects of variants of non-coding genes which have great importance in human genetics. Non-coding genes have formed a very vital field of study ... -
Pancreatic tumor detection by convolutional neural networks
(Institute of Electrical and Electronics Engineers Inc., 2022)Artificial Intelligence and its sub-branches like Machine Learning (ML) and Deep Learning (DL) applications have the potential to have positive effects that can directly affect human life. Medical imaging provides a way ... -
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 ... -
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 ... -
rs-fMRI analysis using spatio-temporal sparse convolutional neural networks
(Institute of Electrical and Electronics Engineers Inc., 2022)Neuropsychiatric diseases such as Autism Spectrum Disorder (ASD) and Schizophrenia cause various behavioral and communication dysfunctions in human life. Resting state functional magnetic resonance imaging (rs-fMRI) is ... -
Automated analysis of the EEG signals for prediction of possible effectiveness of rTMS treatment in alzheimer's patient
(Institute of Electrical and Electronics Engineers Inc., 2022)Alzheimer's disease (AD) is a progressive, chronic neurodegenerative brain disease that generally infects the elderly. The analysis of electroencephalography (EEG) signals has been commonly used for diagnosis. Repetitive ... -
Brain tumor classification using MRI images and convolutional neural networks
(Institute of Electrical and Electronics Engineers Inc., 2022)The brain tumor has become one of the most prominent types of cancers affecting a huge population across the globe every year. It has the lowest life expectancy rate and the risk of death is highly associated with the type, ... -
Convex hull in brain tumor segmentation
(Springer Science and Business Media Deutschland GmbH, 2022)Tumors are the second leading cause of death. Among the tumors, brain tumors constitute one of the most complex tumor categories with a high mortality rate. Therefore, brain tumor detection and segmentation from non-invasive ... -
A multi-modal emotion recognition system based on CNN-transformer deep learning technique
(Institute of Electrical and Electronics Engineers Inc., 2022)Emotion analysis is a subject that researchers from various fields have been working on for a long time. Different emotion detection methods have been developed for text, audio, photography, and video domains. Automated ... -
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 ...