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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 ...
ROM-based inference method built on deep learning for sleep stage classification
(
UIKTEN - Association for Information Communication Technology Education and Science
, 2019 , Article)
We used a classical deep feedforward neural network (DFFNN) for an automatic sleep stage scoring based on a single-channel EEG signal. We used an open-available dataset, randomly selecting one healthy young adult for both ...
LAMANCO: A lightweight anonymous mutual authentication scheme for n -times computing offloading in IoT
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Nowadays in many application scenarios of Internet of Things (IoT), low latency is achieved at the cost of computing-complexity which is beyond the capabilities of IoT devices. Offloading the computing intensive tasks to ...
Privacy-Preserving Support Vector Machine Training over Blockchain-Based Encrypted IoT Data in Smart Cities
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Machine learning (ML) techniques have been widely used in many smart city sectors, where a huge amount of data is gathered from various (IoT) devices. As a typical ML model, support vector machine (SVM) enables efficient ...
Nonlinear Dynamics Tools for Offline Signature Verification Using One-class Gaussian Process
(
World Scientific Publishing Co. Pte Ltd
, 2019 , Article)
One of the major problems in biometrics and in document forensics is the offline mode of signature verification. This study aims to present a novel approach of verifying an individual's signature through offline images of ...
An information fusion framework for person localization via body pose in spectator crowds
(
Elsevier B.V.
, 2019 , Article)
Person localization or segmentation in low resolution crowded scenes is important for person tracking and recognition, action detection and anomaly identification. Due to occlusion and lack of inter-person space, person ...
Bringing Deep Learning at the Edge of Information-Centric Internet of Things
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Various Internet solutions take their power processing and analysis from cloud computing services. Internet of Things (IoT) applications started discovering the benefits of computing, processing, and analysis on the device ...
A Course-Aware Opportunistic Routing Protocol for FANETs
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
In recent years, unmanned aerial vehicles (UAVs) have gained popularity in various applications and services in both the military and civilian domains. Compared with the single-UAV scenario, flying ad hoc networks (FANETs) ...
Performance modeling of representative load sharing schemes for clustered servers in multiaccess edge computing
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Due to their limited functionality, ubiquitous connected devices in the Internet of Things rely heavily on the computational and storage resources of the cloud. However, mainstream cloud systems always require high network ...
Automatic Concept Extraction Based on Semantic Graphs From Big Data in Smart City
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
With the rapid development of smart cities, various types of sensors can rapidly collect a large amount of data, and it becomes increasingly important to discover effective knowledge and process information from massive ...