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السجلات المعروضة 151 -- 160 من 162
iCAFE: Intelligent Congestion Avoidance and Fast Emergency services
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Elsevier B.V.
, 2019 , Article)
Content Centric Network (CCN)has been envisioned as a paradigm shift from client server architecture. In smart cities, transportation plays an important role where integrated services facilitate citizens through the ease ...
Towards secure and efficient energy trading in IIoT-enabled energy internet: A blockchain approach
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Elsevier B.V.
, 2019 , Article)
Nowadays, with the rapid development and wide application of Internet of Things technology, Industrial Internet of Things (IIoT) has become an essential part of industrial systems. A large number of IoT devices has enabled ...
Edge-based compression and classification for smart healthcare systems: concept, implementation and evaluation
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Elsevier Ltd
, 2019 , Article)
Smart healthcare systems require recording, transmitting and processing large volumes of multimodal medical data generated from different types of sensors and medical devices, which is challenging and may turn some of the ...
A blockchain-based fog computing framework for activity recognition as an application to e-Healthcare services
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Elsevier B.V.
, 2019 , Article)
In modern e-Healthcare systems, human activity recognition (HAR) is one of the most challenging tasks in remote monitoring of patients suffering from mental illness or disabilities for necessary assistance. One of the major ...
An information fusion framework for person localization via body pose in spectator crowds
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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 ...
Machine learning in the Internet of Things: Designed techniques for smart cities
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Elsevier B.V.
, 2019 , Article)
Machine learning is one of the emerging technologies that has grabbed the attention of academicians and industrialists, and is expected to evolve in the near future. Machine learning techniques are anticipated to provide ...
Multi-focus image fusion using Content Adaptive Blurring
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Elsevier B.V.
, 2019 , Article)
Multi-focus image fusion has emerged as an important research area in information fusion. It aims at increasing the depth-of-field by extracting focused regions from multiple partially focused images, and merging them ...
Uncertainty and Equivalence Relation Analysis for Hesitant Fuzzy-Rough Sets and Their Applications in Classification
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IEEE Computer Society
, 2019 , Article)
The fusion of hesitant fuzzy set (HFS) and fuzzy-rough set (FRS) is explored and applied into the task of classification due to its capability of conveying hesitant and uncertainty information. In this paper, on the basis ...
VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems
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Hindawi Limited
, 2019 , Article)
The Cypher Physical Power Systems (CPPS) became vital targets for intruders because of the large volume of high speed heterogeneous data provided from the Wide Area Measurement Systems (WAMS). The Nonnested Generalized ...
Improving Arabic Text to Image Mapping Using a Robust Machine Learning Technique
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IEEE
, 2019 , Article)
In this paper, we introduce an approach to automatically convert simple modern standard Arabic children's stories to the best representative images that can efficiently illustrate the meaning of words. It is a kind of ...