Browsing MF, BM, Makale Koleksiyonu by Title
Now showing items 1-20 of 27
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Advancements in distributed ledger technology for Internet of Things
(Elsevier, 2020)Internet of Things (IoT) is paving the way for different kinds of devices to be connected and properly communicated at a mass scale. However, conventional mechanisms used to sustain security and privacy cannot be directly ... -
Array BP-XOR codes for hierarchically distributed matrix multiplication
(IEEE, 2021)A novel fault-tolerant computation technique based on array Belief Propagation (BP)-decodable XOR (BP-XOR) codes is proposed for distributed matrix-matrix multiplication. The proposed scheme is shown to be configurable and ... -
A benchmark dataset for Turkish data-to-text generation
(Elsevier, 2022)In the last decades, data-to-text (D2T) systems that directly learn from data have gained a lot of attention in natural language generation. These systems need data with high quality and large volume, but unfortunately ... -
Classification of skin lesion images with deep learning approaches
(University of Latvia, 2022)Skin cancer is one of the most dangerous cancer types in the world. Like any other cancer type, early detection is the key factor for the patient's recovery. Integration of artificial intelligence with medical image ... -
Compress-store on blockchain: a decentralized data processing and immutable storage for multimedia streaming
(Springer, 2022)Decentralization for data storage is a challenging problem for blockchain-based solutions as the blocksize plays a key role for scalability. In addition, specific requirements of multimedia data call for various changes ... -
Cooperative network coding for distributed storage using base stations with link constraints
(arXiv, 2021)In this work, we consider a novel distributed data storage/caching scenario in a cellular setting where multiple nodes may fail/depart at the same time. In order to maintain the target reliability, we allow cooperative ... -
Data repair-efficient fault tolerance for cellular networks using LDPC codes
(IEEE, 2021)The base station-mobile device communication traffic has dramatically increased recently due to mobile data, which in turn heavily overloaded the underlying infrastructure. To decrease Base Station (BS) interaction, ... -
A data-assisted reliability model for carrier-assisted cold data storage systems
(Elsevier, 2020)Cold data storage systems are used to allow long term digital preservation for institutions’ archive. The common functionality among cold and warm/hot data storage is that the data is stored on some physical medium for ... -
Detecting the effect of voice-over in tv ads via optic brain imaging (fnirs) and in-depth interview methods
(2016)Voice-overs are used extensively to increase the effectiveness of the TV ads especially in the last decade. The main purpose is to provide the brand message via a clear feature that will inevitably grab the attention of ... -
During the covid-19 pandemic, students' opinions on distance education in department of engineering
(International Association of Online Engineering (IAOE), 2022)The decision regarding the distance education method in Turkey on March 15, 2020, has completely changed the learning and teaching methodology of all university students and educators, and it has been seen that all courses ... -
An efficient framework for visible-infrared cross modality person re-identification
(Elsevier, 2020)Visible-infrared cross-modality person re-identification (VI-ReId) is an essential task for video surveillance in poorly illuminated or dark environments. Despite many recent studies on person re-identification in the ... -
An efficient multiscale scheme using local zernike moments for face recognition
(MDPI, 2018)In this study, we propose a face recognition scheme using local Zernike moments (LZM), which can be used for both identification and verification. In this scheme, local patches around the landmarks are extracted from the ... -
An evaluation of recent neural sequence tagging models in Turkish named entity recognition
(Elsevier, 2021)Named entity recognition (NER) is an extensively studied task that extracts and classifies named entities in a text. NER is crucial not only in downstream language processing applications such as relation extraction and ... -
Exact construction of BS-assisted MSCR codes with link constraints
(IEEE Communications Letters, 2021)It is clear that 5G network resources would be consumed by heavy data traffic owing to increased mobility, slicing, and layered/distributed storage system architecture. The problem is elevated when multiple node failures ... -
Extracting, computing, coordination: what does a triphasic ERP pattern say about language processing?
(Elsevier, 2021)The current study aims at contributing to the interpretation of the most prominent language-related ERP effects, N400 and P600, by investigating how neural responses to congruent and incongruent sentence endings vary, when ... -
Face recognition with patch-based local Walsh transform
(Elsevier, 2018)In this paper, we present a novel dense local image representation method called Local Walsh Transform (LWT)by applying the well-known Walsh Transform (WT) to each pixel of an image. The LWT decomposes an image into multiple ... -
Founsure 1.0: An erasure code library with efficient repair and update features
(Elsevier, 2021)Founsure is an open-source software library that implements a multi-dimensional graph-based erasure coding entirely based on fast exclusive OR (XOR) logic. Its implementation utilizes compiler optimizations and multi-threading ... -
Graph-based Turkish text normalization and its impact on noisy text processing
(Elsevier, 2022)User generated texts on the web are freely-available and lucrative sources of data for language technology researchers. Unfortunately, these texts are often dominated by informal writing styles and the language used in ... -
Identification of candidate biomarkers and pathways in breast cancer by differential network analysis
(Inderscience Publishers, 2020)Breast cancer is one of the most malignant cancers in women worldwide. The aim of the present study was to explore the underlying biological mechanisms of breast cancer. For this purpose, we propose a novel framework to ... -
An investigation of the neural correlates of purchase behavior through fNIRS
(2018)Purpose This study aims to explore the plausibility of the functional near-infrared spectroscopy (fNIRS) methodology for neuromarketing applications and develop a neurophysiologically-informed model of purchasing behavior ...
