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Now showing items 1-10 of 26
CS-Man: computation service management for IoT in-network processing.
(2016)
The Internet of Things (IoT) expects to link billions of devices to the Internet, which will produce massive amounts of data. Current approaches move the IoT data out of the network for processing. It results in long delays ...
Multiple-scent enhanced multimedia synchronization.
(ACM, 2014-09)
This study looked at users' perception of inter-stream synchronization between audiovisual media and two olfactory streams. The
ability to detect skews, and the perception and impact of skews on user quality of experience ...
A survey of modern deep learning based object detection models
(Elsevier, 2022-06-30)
Object Detection is the task of classification and localization of objects in an image or video. It has gained prominence in recent years due to its widespread applications. This article surveys recent developments in deep ...
Block-chain empowered multi-robot collaboration to fight COVID-19 and future pandemics
(IEEE, 2021-03-25)
This conceptual paper overviews how blockchain technology is involving the operation
of multi-robot collaboration for combating COVID-19 and future pandemics. Robots are a promising
technology for providing many tasks ...
Preserving chain-of-evidence in surveillance videos for authentication and trust-enabled sharing
(IEEE, 2020)
Surveillance video recording is a powerful method of deterring unlawful activities. A robust data protection-by-design solution can be helpful in terms of making a captured video immutable, as such recordings cannot become ...
A framework for distributed cleaning of data streams.
(Elsevier, 2015)
Vast and ever increasing quantities of data are produced by sensors in the Internet of Things (IoT). The quality of this data can be
very variable due to problems with sensors, incorrect calibration etc. Data quality can ...
Machine learning for smart environments in B5G networks: connectivity and QoS
(Hindawi, 2021-09-20)
The number of Internet of Things (IoT) devices to be connected via the Internet is overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and uncertainty complicate this landscape dramatically and ...
Shallow and deep learning approaches for network intrusion alert prediction.
(Elsevier, 2020)
The ever-increasing frequency and intensity of intrusion attacks on computer networks worldwide has necessitated intense research efforts towards the design of attack detection and prediction mechanisms. While there are a ...
Green internet of things using UAVs in B5G networks: a review of applications and strategies
(Elsevier, 2021-04-03)
Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced technology that can enhance people life quality and smartness of cities dramatically and increase overall economic efficiency. UAVs have attained a ...
MCP2P: Layer-dependency-aware live MVC video streaming over peer-to-peer networks.
(Elsevier, 2018-07)
Multiview video supports observing a scene from different viewpoints. The Joint Video Team (JVT) developed H.264/MVC to enhance the compression efficiency for multiview video, however, MVC encoded multiview video (MVC ...