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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 ...
Cloud2HDD: large-scale HDD data analysis on cloud for cloud datacenters
(IEEE, 2020)
The main focus of this paper is to develop a distributed large scale data analysis platform for the opensource data of Backblaze cloud datacenter which consists of operational hard disk drive (HDD) information collected ...
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 ...
A novel genetic algorithm-based improvement model for online communities and trust networks
(IOS Press, 2020)
Social network analysis offers an understanding of our modern world, and it affords the ability to represent, analyze and even simulate complex structures. While an unweighted model can be used for online communities, trust ...
Cost of guessing: applications to data repair
(Institute of Electrical and Electronics Engineers Inc., 2020)
In this paper, we introduce the notion of cost of guessing and provide an optimal strategy for guessing a random variable taking values on a finite set whereby each choice may be associated with a positive finite cost ...
Data repair in BS-assisted distributed data caching
(IEEE, 2020)
In this paper, centralized and independent repair approaches based on device-to-device communication for the repair of the lost nodes have been investigated in a cellular network where distributed caching is applied whose ...
Fault-tolerant strassen-like matrix multiplication
(IEEE, 2020)
In this study, we propose a simple method for fault-tolerant Strassen-like matrix multiplications. The proposed method is based on using two distinct Strassen-like algorithms instead of replicating a given one. We have ...
Consumer neuroscience perspective for brands: how do brands influence our brains?
(IGI Global, 2020)
Neuroscientific tools have increasingly been used by marketing practitioners and researchers to understand and explain several different questions that have been issued for a specific company or a general understanding. ...
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 ...
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 ...