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السجلات المعروضة 51 -- 60 من 267
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 ...
A self-selective correlation ship tracking method for smart ocean systems
(
MDPI AG
, 2019 , Article)
In recent years, with the development of the marine industry, the ship navigation environment has become more complicated. Some artificial intelligence technologies, such as computer vision, can recognize, track and count ...
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 ...
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 ...
A Friendly and Low-Cost Technique for Capturing Non-Cooperative Civilian Unmanned Aerial Vehicles
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
As a result of continuous cost reduction and device miniaturization, small UAVs are now more easily accessible to the public. Consequently, numerous new applications in the civilian and commercial domains have emerged. ...
Machine Learning-Based Network Vulnerability Analysis of Industrial Internet of Things
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
It is critical to secure the Industrial Internet of Things (IIoT) devices because of potentially devastating consequences in case of an attack. Machine learning (ML) and big data analytics are the two powerful leverages ...
On realistic target coverage by autonomous drones
(
Association for Computing Machinery
, 2019 , Article)
Low-cost mini-drones with advanced sensing and maneuverability enable a new class of intelligent sensing systems. To achieve the full potential of such drones, it is necessary to develop new enhanced formulations of both ...
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 ...
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 ...