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A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services
(
Springer New York LLC
, 2019 , Article)
This papers presents a deep learning-based framework to predict crowdsourced service availability spatially and temporally. A novel two-stage prediction model is introduced based on historical spatio-temporal traces of ...
Collaborative joint caching and transcoding in mobile edge networks
(
Academic Press
, 2019 , Article)
Video streaming has become a leading consumer of network resources in the last decade. Despite considerable developments, video content providers still face major challenges, which include minimizing data transfer from ...
Minimising number of sensors in wireless sensor networks for structure health monitoring systems
(
Institution of Engineering and Technology
, 2019 , Article)
Sensor placement optimisation is an important problem in the field of structural health monitoring (SHM). Many researchers solve this problem by focusing only on the network requirements, without considering the civil ...
A Heuristic Statistical Testing Based Approach for Encrypted Network Traffic Identification
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
In recent years, malware with strong concealment uses encrypted protocol to evade detection. Thus, encrypted traffic identification can help security analysts to be more effective in narrowing down those encrypted network ...
Secure UAV communication networks over 5G
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Wireless communications can leverage UAVs to provide ubiquitous connectivity to different device types. Recently, integrating UAVs into a macro cell network is drawing unprecedented interest for supplementing terrestrial ...
Total Variation for Image Denoising Based on a Novel Smart Edge Detector: An Application to Medical Images
(
Springer New York LLC
, 2019 , Article)
In medical imaging applications, diagnosis relies essentially on good quality images. Edges play a crucial role in identifying features useful to reach accurate conclusions. However, noise can compromise this task as it ...
EEG-based multi-modal emotion recognition using bag of deep features: An optimal feature selection approach
(
MDPI AG
, 2019 , Article)
Much attention has been paid to the recognition of human emotions with the help of electroencephalogram (EEG) signals based on machine learning technology. Recognizing emotions is a challenging task due to the non-linear ...
Patch-based offline signature verification using one-class hierarchical deep learning
(
Springer Verlag
, 2019 , Article)
Automatic processing of offline signature verification (in general) can be considered as a low-cost solution to problems in biometrics in comparison with other solutions (e. g. fingerprint, face verification, etc.). This ...
Secured Fine-Grained Selective Access to Outsourced Cloud Data in IoT Environments
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
With the vast increase in data transmission due to a large number of information collected by devices, data management, and security has been a challenge for organizations. Many data owners (DOs) outsource their data to ...
Matrix Barcode Based Secure Authentication without Trusting Third Party
(
IEEE Computer Society
, 2019 , Article)
The user creates a JavaScript-enabled bookmark file once and opens this file to generate a QR code every time to use secure servers. The mobile device generates a secret to encrypt his/her credentials and saves it so that ...