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Service-aware multi-resource allocation in software-defined next generation cellular networks
(2018)
Network slicing is one of the major solutions needed to meet the requirements of next generation cellular networks, under one common network infrastructure, in supporting multiple vertical services provided by mobile network ...
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 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 ...
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 ...
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 ...
On the distribution modeling of heavy-tailed disk failure lifetime in big data centers
(IEEE, 2021)
It has become commonplace to observe frequent multiple disk failures in big data centers in which thousands of drives operate simultaneously. Disks are typically protected by replication or erasure coding to guarantee a ...
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 ...
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 ...
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 ...
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 ...