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An optimizing and differentially private clustering algorithm for mixed data in SDN-based smart grid
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Software-defined network (SDN) is widely used in smart grid for monitoring and managing the communication network. Big data analytics for SDN-based smart grid has got increasing attention. It is a promising approach to use ...
Effective dispatch strategies assortment according to the effect of the operation for an islanded hybrid microgrid
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Elsevier Ltd
, 2022 , Article)
The optimized design of a freestanding hybrid microgrid for various distinct dispatch controls is assessed in this paper, which considers the optimal sizes of individual components, system response, and reliability analysis. ...
5G Networks Towards Smart and Sustainable Cities: A Review of Recent Developments, Applications and Future Perspectives
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
5G wireless communication systems provide massive system capacity with high data rates, very short low-latency, and ultra-high reliability, in addition to high connection density with a positive experience on smart cities ...
Planning for a neighborhood and city-scale green network system in Qatar: the case of MIA Park
(
Springer
, 2021 , Article)
In the past decade, Doha has witnessed fast-urban growth, an increased population rate, and an over-reliance on the automobile as the main mode of urban transportation. These factors caused social and environmental problems ...
Analysis of cyber security knowledge gaps based on cyber security body of knowledge
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Springer
, 2022 , Article)
Due to the increasing number of cyber incidents and overwhelming skills shortage, it is required to evaluate the knowledge gap between cyber security education and industrial needs. As such, the objective of this study is ...
Functional connectivity alterations in epilepsy from resting-state functional MRI
(
Public Library of Science
, 2015 , Article)
The study of functional brain connectivity alterations induced by neurological disorders and their analysis from resting state functional Magnetic Resonance Imaging (rfMRI) is generally considered to be a challenging task. ...
A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges
(
IEEE
, 2022 , Article)
5G communication brings substantial improvements in the quality of service provided to various applications by achieving higher throughput and lower latency. However, interactive multimedia applications (e.g., ultra high ...
Automatic detection of diseased tomato plants using thermal and stereo visible light images
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Public Library of Science
, 2015 , Article)
Accurate and timely detection of plant diseases can help mitigate the worldwide losses experienced by the horticulture and agriculture industries each year. Thermal imaging provides a fast and non-destructive way of scanning ...
A blockchain and deep neural networks-based secure framework for enhanced crop protection
(
Elsevier B.V.
, 2021 , Article)
The problem faced by one farmer can also be the problem of some other farmer in other regions. Providing information to farmers and connecting them has always been a challenge. Crowdsourcing and community building are ...
Automatic detection of regions in spinach canopies responding to soil moisture deficit using combined visible and thermal imagery
(
Public Library of Science
, 2014 , Article)
Thermal imaging has been used in the past for remote detection of regions of canopy showing symptoms of stress, including water deficit stress. Stress indices derived from thermal images have been used as an indicator of ...