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Published in 2018 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-017-9610-2
Abstract: In the structure of ANFIS, there are two different parameter groups: premise and consequence. Training ANFIS means determination of these parameters using an optimization algorithm. In the first ANFIS model developed by Jang, a hybrid…
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Keywords:
network based;
anfis training;
training;
based fuzzy ... See more keywords
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Published in 2020 at "Wireless Personal Communications"
DOI: 10.1007/s11277-020-07176-7
Abstract: In this paper, the underwater implementation of the incremental adaptive networks is proposed based on the visible light communication technology. The underwater distance between transmitter and receiver nodes and the salinity and temperature levels of…
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Keywords:
network;
network performance;
theoretical analysis;
adaptive network ... See more keywords
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Published in 2020 at "Journal of Visualization"
DOI: 10.1007/s12650-019-00623-z
Abstract: Abstract The interior of a square cavity containing nanofluid with copper (Cu) nanoparticles (NPs) was simulated by a computational fluid dynamics (CFD) method. The flow rate parameters were obtained with different directions of the computing…
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Keywords:
network based;
system anfis;
based fuzzy;
fuzzy inference ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.07.032
Abstract: Abstract Scale variations occur frequently and present a great challenge for crowd counting in practical applications. In this paper, we propose a scale adaptive network to address the scale variation problem for crowd counting. We…
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Keywords:
scale adaptive;
adaptive network;
crowd counting;
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Published in 2017 at "Scientific Reports"
DOI: 10.1038/srep42352
Abstract: The study of epidemics on static networks has revealed important effects on disease prevalence of network topological features such as the variance of the degree distribution, i.e. the distribution of the number of neighbors of…
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Keywords:
diseases growing;
network;
disease;
adaptive network ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2956805
Abstract: Encryption mechanisms improve the security of transmitting data. Nevertheless, attackers might silently eavesdrop packets to crack sensitive information or launch cyberattacks to damage the network performance of victims. In this paper, we propose a learning…
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Keywords:
eavesdropping attacks;
learning based;
based adaptive;
adaptive network ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3163822
Abstract: A histopathological analysis performed by pathologists plays a key role in the diagnosis of breast cancer. A novel approach based on an image processing technique is proposed to help pathologists efficiently produce accurate diagnoses, that…
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Keywords:
classification;
adaptive network;
breast cancer;
resolution adaptive ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3255985
Abstract: Industrial networks rely on standard real-time communication protocols, such as ProfiNet RT. These real-time protocols use cyclic data exchange between IO devices and controllers. Each IO device reports its internal state to the controller at…
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Keywords:
network;
adaptive network;
traffic reduction;
traffic ... See more keywords
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Published in 2019 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2019.2914935
Abstract: Network embedding plays an important role in various network applications, such as node classification and link prediction. Lots of structure-based network embedding methods have been proposed. Yet, they suffer from unsteady embedding performances due to…
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Keywords:
optimization;
embedding particle;
pso;
network embedding ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3152800
Abstract: Given a face image, most of previous works in gaze estimation infer the gaze via a well-trained model with supervised training. However, the distribution of test data may be very different compared to that of…
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Keywords:
adaptive network;
face eye;
modulation based;
estimation ... See more keywords
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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3254159
Abstract: With the development of deep neural networks, hyperspectral image (HSI) classification systems have achieved a significant improvement. These systems require numerous and accurately labeled hyperspectral data to be adequately trained. However, noisy labels are inherent…
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Keywords:
noisy labels;
network;
adaptive network;
hsi classification ... See more keywords