Articles with "ann based" as a keyword



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Monte Carlo uncertainty analysis of an ANN-based spectral analysis method

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Published in 2019 at "Neural Computing and Applications"

DOI: 10.1007/s00521-019-04169-x

Abstract: This work presents the uncertainty analysis of an artificial neural network (ANN)-based method, called multiharmonic ANN fitting method (MANNFM), which is able to obtain, at a metrological level, the spectrum of asynchronously sampled periodical signals.… read more here.

Keywords: uncertainty; analysis; monte carlo; method ... See more keywords
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ANN based Performance Evaluation of BDI for Condition Monitoring of Induction Motor Bearings

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Published in 2017 at "Journal of The Institution of Engineers (India): Series B"

DOI: 10.1007/s40031-016-0251-7

Abstract: One of the critical parts in rotating machines is bearings and most of the failure arises from the defective bearings. Bearing failure leads to failure of a machine and the unpredicted productivity loss in the… read more here.

Keywords: evaluation bdi; bdi condition; based performance; performance evaluation ... See more keywords
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A new near-lossless EEG compression method using ANN-based reconstruction technique

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Published in 2017 at "Computers in biology and medicine"

DOI: 10.1016/j.compbiomed.2017.05.024

Abstract: Compression algorithm is an essential part of Telemedicine systems, to store and transmit large amount of medical signals. Most of existing compression methods utilize fixed transforms such as discrete cosine transform (DCT) and wavelet and… read more here.

Keywords: reconstruction; reconstruction technique; compression; dct coefficients ... See more keywords
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ANN based angle tracking technique for shaft resolver

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Published in 2019 at "Measurement"

DOI: 10.1016/j.measurement.2019.106910

Abstract: Abstract Shaft resolver is widely used in many industrial applications, such as robotics and machine automation applications. Because the performance of the system depends on measurement accuracy, in order to perform an accurate position control,… read more here.

Keywords: proposed method; shaft; ann based; shaft resolver ... See more keywords
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Development of an artificial neural network (ANN)-based model to predict permanent deformation of base course containing reclaimed asphalt pavement (RAP)

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Published in 2020 at "Road Materials and Pavement Design"

DOI: 10.1080/14680629.2020.1773304

Abstract: Pavement demolition debris is one of the world’s major waste problems. Each year the United States produces about 100 million tons of reclaimed asphalt pavement (RAP), out of which more than 60% ends up in… read more here.

Keywords: ann based; base course; model; rap ... See more keywords
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ANN-based methods for solving partial differential equations: a survey

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Published in 2022 at "Arab Journal of Basic and Applied Sciences"

DOI: 10.1080/25765299.2022.2104224

Abstract: Abstract Traditionally, partial differential equation (PDE) problems are solved numerically through a discretization process. Iterative methods are then used to determine the algebraic system generated by this process. Recently, scientists have emerged artificial neural networks… read more here.

Keywords: ann based; methods solving; partial differential; based methods ... See more keywords
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Panop: Mimicry-Resistant ANN-Based Distributed NIDS for IoT Networks

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Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3103015

Abstract: Recently, using artificial neural networks (ANNs) for network intrusion detection systems (NIDSs) has drawn much attention from security researchers. The capability of ANNs to learn patterns from numerous data helps detect attacks on networked systems.… read more here.

Keywords: distributed nids; oriented attacks; ann based; based distributed ... See more keywords
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Reduced Simulative Performance Analysis of Variable Step Size ANN based MPPT Techniques for Partially Shaded Solar PV Systems

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3172322

Abstract: The rise in energy demand in the present scenario can be balanced with the help of solar Photovoltaic (PV) systems. But, the nonlinearity in I-V and P-V characteristics makes it very difficult to extract the… read more here.

Keywords: variable step; mppt techniques; power; ann based ... See more keywords
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E-052 Artificial neural network ct perfusion prediction of ischemic core

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Published in 2019 at "Journal of NeuroInterventional Surgery"

DOI: 10.1136/neurintsurg-2019-snis.127

Abstract: Background and purpose Computer Tomography Perfusion (CTP) is a useful tool in the evaluation of acute ischemic stroke, where it can provide an estimate of the ischemic core and the ischemic penumbra. The optimal CTP… read more here.

Keywords: ctp data; core; artificial neural; ischemic core ... See more keywords
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Artificial neural network-based repair and maintenance cost estimation model for rice combine harvesters

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Published in 2023 at "International Journal of Agricultural and Biological Engineering"

DOI: 10.25165/j.ijabe.20231602.5931

Abstract: : This research proposes an artificial neural network (ANN)-based repair and maintenance (R&M) cost estimation model for agricultural machinery. The proposed ANN model can achieve high estimation accuracy with small data requirement. In the study,… read more here.

Keywords: ann based; cost; estimation model; proposed ann ... See more keywords
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Implementation of ANN-Based Auto-Adjustable for a Pneumatic Servo System Embedded on FPGA

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Published in 2022 at "Micromachines"

DOI: 10.3390/mi13060890

Abstract: Artificial intelligence techniques for pneumatic robot manipulators have become of deep interest in industrial applications, such as non-high voltage environments, clean operations, and high power-to-weight ratio tasks. The principal advantages of this type of actuator… read more here.

Keywords: ann based; implementation ann; adjustable pneumatic; based auto ... See more keywords