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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.…
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Keywords:
uncertainty;
analysis;
monte carlo;
method ... See more keywords
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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…
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Keywords:
evaluation bdi;
bdi condition;
based performance;
performance evaluation ... See more keywords
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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…
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Keywords:
reconstruction;
reconstruction technique;
compression;
dct coefficients ... See more keywords
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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,…
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Keywords:
proposed method;
shaft;
ann based;
shaft resolver ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-65547-7
Abstract: This research suggests a robust integration of artificial neural networks (ANN) for predicting swell pressure and the unconfined compression strength of expansive soils (PsUCS-ES). Four novel ANN-based models, namely ANN-PSO (i.e., particle swarm optimization), ANN-GWO…
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Keywords:
ann mpa;
swell pressure;
compression strength;
ann based ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-24955-z
Abstract: Accurate and timely Fault Detection (FD) remains a fundamental challenge in transmission systems due to the dynamic operating conditions of modern power grids, the diversity of fault types, and fast reclosure events. Conventional fault diagnosis…
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Keywords:
transmission;
fault classification;
classification localization;
transmission systems ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-88330-8
Abstract: Photovoltaic Water Pumping Systems (PVWPS) have become increasingly important as a renewable energy solution in rural areas, providing energy independence, cost savings, and environmental friendliness. This system has two main controllers. The first controller is…
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Keywords:
system;
time;
water;
torque ... See more keywords
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Published in 2024 at "Journal of Structural Engineering"
DOI: 10.1061/jsendh.steng-13119
Abstract: 9 Predicting the moment-rotation response parameters of semi-rigid steel connections can be challenging 10 given the many components contributing to the connection’s elastic and plastic deformations. This is the 11 case for the popular flush…
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Keywords:
ann based;
response;
model;
flush endplate ... See more keywords
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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…
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Keywords:
ann based;
base course;
model;
rap ... See more keywords
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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…
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Keywords:
ann based;
methods solving;
partial differential;
based methods ... See more keywords
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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.…
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Keywords:
distributed nids;
oriented attacks;
ann based;
based distributed ... See more keywords