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A two-dimensional sparse matrix profile DenseNet for COVID-19 diagnosis using chest CT images
(IEEE, 2020)
COVID-19 is a newly identified disease, which is very contagious and has been rapidly spreading across different countries around the world, calling for rapid and accurate diagnosis tools. Chest CT imaging has been widely ...
Operon-based approach for the inference of rRNA and tRNA evolutionary histories in bacteria
(Springer Nature, 2020)
In bacterial genomes, rRNA and tRNA genes are often organized into operons, i.e., segments of closely located genes that share a single promoter and are transcribed as a single unit. Analyzing how these genes and operons ...
Predictive analytics on open big data for supporting smart transportation services
(Elsevier, 2020)
In the current era of big data, huge quantities of valuable data, which may be of different levels of veracity, are being generated at a rapid rate. Embedded into these big data are implicit, previously unknown and potentially ...
Operon-based approach for the inference of rRNA and tRNA evolutionary histories in bacteria
(2020-04-16)
Abstract
Background
In bacterial genomes, rRNA and tRNA genes are often organized into operons, i.e. segments of closely located genes that share a single promoter and are transcribed as a single unit. Analyzing how these ...
An effective and efficient technique for supporting privacy-preserving keyword-based search over encrypted data in clouds
(Elsevier, 2020)
Nowadays, cloud providers offer to their clients the possibility of storage of emails and files on the cloud server. To avoid privacy concerns, encryption should be applied to data. Unlike searching plaintext documents by ...
A combined deep-learning and transfer-learning approach for supporting social influence prediction
(Elsevier, 2020)
Social influence is a phenomenon describing the spread of opinions across the population. Nowadays, social influence analysis (SIA) has a great impact. For example, viral marketing and online content recommendation are ...
Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19
(2021-07-26)
Abstract
Background
Coronavirus disease 2019 (COVID-19) is very contagious. Cases appear faster than the available Polymerase Chain Reaction test kits in many countries. ...
Adaptive multiple imputations of missing values using the class center
(2022-04-28)
Abstract
Big data has become a core technology to provide innovative solutions in many fields. However, the collected dataset for data analysis in various domains will contain missing values. Missing value ...
The effect of disease co-occurrence measurement on multimorbidity networks: a population-based study
(2022-06-08)
Abstract
Background
Network analysis, a technique for describing relationships, can provide insights into patterns of co-occurring chronic health conditions. The effect that ...
Semi-supervised COVID-19 CT image segmentation using deep generative models
(2022-08-17)
Abstract
Background
A recurring problem in image segmentation is a lack of labelled data. This problem is especially acute in the segmentation of lung computed tomography (CT) ...