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Digital signature scheme for information non-repudiation in blockchain: a state of the art review
W Fang, W Chen, W Zhang, J Pei, W Gao… - EURASIP Journal on …, 2020 - Springer
Blockchain, as one of the most promising technology, has attracted tremendous attention.
The interesting characteristics of blockchain are decentralized ledger and strong security …
The interesting characteristics of blockchain are decentralized ledger and strong security …
A probability density function generator based on neural networks
In order to generate a probability density function (PDF) for fitting the probability distributions
of practical data, this study proposes a deep learning method which consists of two …
of practical data, this study proposes a deep learning method which consists of two …
Quasi-affine transformation evolutionary algorithm with communication schemes for application of RSSI in wireless sensor networks
QUasi-Affine TRansformation Evolutionary algorithm (QUATRE) is a new optimization
algorithm based on population for complex multiple real parameter optimization problems in …
algorithm based on population for complex multiple real parameter optimization problems in …
Integrating sensor ontologies with global and local alignment extractions
X Xue, X Wu, C Jiang, G Mao… - … and Mobile Computing, 2021 - Wiley Online Library
In order to enhance the communication between sensor networks in the Internet of things
(IoT), it is indispensable to establish the semantic connections between sensor ontologies in …
(IoT), it is indispensable to establish the semantic connections between sensor ontologies in …
Internet of things and deep learning enabled elderly fall detection model for smart homecare
Recently, the techniques of Internet of Things (IoT) and mobile communications have been
developed to gather human and environment information data for a variety of intelligent …
developed to gather human and environment information data for a variety of intelligent …
Review on diabetic retinopathy with deep learning methods
Purpose: The purpose of our review paper is to examine many existing works of literature
presenting the different methods utilized for diabetic retinopathy (DR) recognition employing …
presenting the different methods utilized for diabetic retinopathy (DR) recognition employing …
Internet of things and synergic deep learning based biomedical tongue color image analysis for disease diagnosis and classification
In recent times, internet of things (IoT) and wireless communication techniques become
widely used in healthcare sector. Biomedical image processing is commonly employed to …
widely used in healthcare sector. Biomedical image processing is commonly employed to …
A parallel WOA with two communication strategies applied in DV-Hop localization method
Wireless sensor network (WSN) can effectively help us monitor the surrounding environment
and prevent the occurrence of some natural disasters earlier, but we can only get the …
and prevent the occurrence of some natural disasters earlier, but we can only get the …
MSCR: Multidimensional secure clustered routing scheme in hierarchical wireless sensor networks
For hierarchical wireless sensor network (WSN), the clustered routing protocol can
effectively deal with large-scale application requirements, thereby, how to efficiently elect the …
effectively deal with large-scale application requirements, thereby, how to efficiently elect the …
Identifying correctness data scheme for aggregating data in cluster heads of wireless sensor network based on naive Bayes classification
Wireless sensor network (WSN) has been paid more attention by scholars due to the
practical communication of a system of devices to transfer information gathered from a …
practical communication of a system of devices to transfer information gathered from a …