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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 ...
Hop-by-hop congrestion measurement and practical active queue management in NDN
(IEEE, 2020-12)
Content replication and name-based routing in Named Data Network (NDN) naturally lead to connectionless multi-source and multipath transmissions. Traditional congestion control designed for end-to-end connections cannot ...
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 ...
Cooperative industrial multi robot system using multi agent reinforcement learning
(Athlone Institute of Technology, 2020-06)
This poster describes the research definition process for thisearly stage PhD.
Our goal is to investigate the feasibility of using multi-agent deep learning (MADRL) as an approach for solving cooperative multi robot system ...
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 ...
The context aware security policy language for Zero Trust Network
(Athlone Institute of Technology, 2020-06)
With the development of the pervasive computing, the number of devices accessing to network is increasing. Though this condition brings us a more convenient and intelligent lifestyle, accompanying with it is the higher ...
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 ...
Implementation of reinforcement learning algorithms for robotic pick and place with non-visual sensing
(TUS Midlands Midwest, 2022)
The term ‘Industry 4.0’ appeared for the first time in 2011 and saw the
introduction of many cutting-edge technologies such as Cyber-Physical
Systems (CPS), Internet of Things (IoT), and Digital Twins (DT). World
leading ...
Evaluation of ethereum end-to-end transaction
(Athlone Institute of Technology, 2020-06)
Ethereum is a conventional but evolving blockchain
approach to support smart contract by enabling Turingcomplete
computations at miners. With smart contract as a
back-end support, anyone can publish their Decentralize ...
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 ...