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Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3120-7
Abstract: Abstract The objective of this study is to employ support vector machine as a machine learning technique to improve flow discharge predictions in compound open channels. Accurate estimation of channel conveyance is a major step…
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Keywords:
learning technique;
channel;
machine learning;
flow ... See more keywords
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Published in 2020 at "Microsystem Technologies"
DOI: 10.1007/s00542-020-04888-5
Abstract: Alzheimer’s disease (AD) is non-repairable brain disorder which impacts a person’s thinking along with shrinking the size of the brain, ultimately resulting in the death of the patient. It is necessary for the treatment of…
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Keywords:
learning technique;
alzheimer disease;
machine learning;
technique early ... See more keywords
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Published in 2020 at "Journal of Signal Processing Systems"
DOI: 10.1007/s11265-020-01520-7
Abstract: In general, Convolutional Neural Networks (CNNs) have a complex network structure consisted of heavy layers with huge number of parameters such as the convolutional, pooling, relu-activation, and fully-connected layers. Due to the complexity and computation…
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Keywords:
learning technique;
network;
neural network;
partial learning ... See more keywords
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Published in 2017 at "Computer-aided Design and Applications"
DOI: 10.1080/16864360.2016.1273580
Abstract: ABSTRACTSince decades, many methods have been proposed to automatically reconstruct solid models from their sketches. However, it was difficult for the methods to handle sketches including curved lines such as cylinders. Recent years, the authors…
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Keywords:
learning technique;
including curves;
solid models;
models sketches ... See more keywords
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Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2016.2641474
Abstract: In an ambient intelligence (AmI) environment, electronic devices that comprise the Internet of things (IoT) network work together seamlessly to provide a wide variety of applications and intelligent services to users. Computer-assisted pronunciation training (CAPT),…
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Keywords:
learning technique;
pronunciation;
assisted pronunciation;
smartphone assisted ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2896988
Abstract: Deep learning technique-based visual odometry systems have recently shown promising results compared to feature matching-based methods. However, deep learning-based systems still require the ground truth poses for training and the additional knowledge to obtain absolute…
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Keywords:
odometry;
monocular visual;
visual odometry;
learning technique ... See more keywords
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Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2021.3104002
Abstract: The development of label-free non-destructive techniques to be used as diagnostic tools in cancer research is of great importance for improving the quality of life for millions of patients. Previous studies have demonstrated that Third…
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Keywords:
breast;
cancer;
breast cancer;
learning technique ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3217094
Abstract: Long-term measurements of the Global Navigation Satellite System (GNSS) receiver at Gadanki, India, have been used to develop a machine learning (ML) technique – light gradient boosting machine (lightGBM) for the prediction of integrated water…
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Keywords:
machine;
machine learning;
learning technique;
prediction ... See more keywords
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Published in 2019 at "IEEE Transactions on Antennas and Propagation"
DOI: 10.1109/tap.2019.2902667
Abstract: In mymargin this communication, we study the application of the supervised descent method (SDM) for 2-D microwave imaging. SDM contains offline training and online prediction. In the offline stage, a training data set is generated…
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Keywords:
supervised descent;
microwave imaging;
technique microwave;
learning technique ... See more keywords
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Published in 2021 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2020.2990397
Abstract: The electric vehicles’ (EVs) rapid growth can potentially lead power grids to face new challenges due to load profile changes. To this end, a new method is presented to forecast the EV charging station loads…
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Keywords:
charging station;
reinforcement learning;
load;
using learning ... See more keywords
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Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9061098
Abstract: To protect the population from respiratory diseases and to prevent the damages due to air pollution, the main cause of air pollution should be identified. This research assessed the relationship between the airborne particulate concentrations…
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Keywords:
urban expansion;
pm10;
machine;
study ... See more keywords