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Now showing items 11-20 of 97
A Combined Decision for Secure Cloud Computing Based on Machine Learning and Past Information
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Cloud computing has been presented as one of the most efficient techniques for hosting and delivering services over the internet. However, even with its wide areas of application, cloud security is still a major concern ...
Conceptual Interactive Search Engine Interface for Visually Impaired Web Users
(
IEEE Computer Society
, 2019 , Conference Paper)
The Internet is the main source of information nowadays. Consequently, end users need to be knowledgeable about how to use search engines in order to locate relevant information in a reasonable time with minimal effort. ...
Towards a Hierarchical Multitask Classification Framework for Cultural Heritage
(
IEEE Computer Society
, 2019 , Conference Paper)
Digital technologies such as 3D imaging, data analytics and computer vision opened the door to a large set of applications in cultural heritage. Digital acquisition of a cultural assets takes nowadays a couple of seconds ...
A Scheme for Three-way Secure and Verifiable E-Voting
(
IEEE Computer Society
, 2019 , Conference Paper)
Online voting systems are gaining acceptance with the widespread use of secure web services and cloud computing such as electronic currency and online banking. However, they still face privacy, security and accountability ...
DART: A large dataset of dialectal Arabic tweets
(
European Language Resources Association (ELRA)
, 2019 , Conference Paper)
In this paper, we present a new large manually-annotated multi-dialect dataset of Arabic tweets that is publicly available. The Dialectal ARabic Tweets (DART) dataset has about 25K tweets that are annotated via crowdsourcing ...
Designing an Educational Multimedia System for Supporting Learning Difficulties in Arabic
(
Springer Verlag
, 2019 , Conference Paper)
Nowadays, schools are highly encouraged to use information technology in unconventional manners and also be creative in combining the use of various tools, while maintaining high standards. In spite of the latent advantage ...
Deep-Gap: A deep learning framework for forecasting crowdsourcing supply-demand gap based on imaging time series and residual learning
(
IEEE Computer Society
, 2019 , Conference Paper)
Mobile crowdsourcing has become easier thanks to the widespread of smartphones capable of seamlessly collecting and pushing the desired data to cloud services. However, the success of mobile crowdsourcing relies on balancing ...
Quality of Coverage: A Novel Approach to Coverage for Mobile Crowd Sensing Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Mobile Crowd Sensing (MCS) is an effective paradigm that utilizes the crowd as an extended instrument for the purpose of collecting data. However, utilizing the crowd comes with the risks stemming from the crowd's ...
Multi-person head segmentation in low resolution crowd scenes using convolutional encoder-decoder framework
(
Springer Verlag
, 2019 , Conference Paper)
Person head detection in crowded scenes becomes a challenging task if facial features are absent, resolution is low and viewing angles are unfavorable. Motion and out-of-focus blur along with headwear of varying shapes ...
Towards adaptive multimedia system for assisting children with Arabic learning difficulties
(2019 , Conference Paper)
Children with learning difficulties (LD) are increasing dramatically in the Arab world. Such children require quick intervention especially during the early childhood years. This paper presents a dynamic multimedia system ...