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Published in 2017 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-017-0621-z
Abstract: The detection of moving objects is a crucial step for many video surveillance applications whether using a visible camera (VIS) or an infrared (IR) one. In order to profit from both types, several fusion methods…
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Keywords:
object detection;
detection;
moving object;
level fusion ... See more keywords
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Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1311-2
Abstract: In spite of the benefits of biometric-based authentication systems, there are few concerns raised because of the sensitivity of biometric data to outliers, low performance caused due to intra-class variations, and privacy invasion caused by…
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Keywords:
level;
level fusion;
fusion;
decision level ... See more keywords
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Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-08978-4
Abstract: The present study reports classification and analysis of composite land features using fusion images obtained by fusing two original hyperspectral and multispectral datasets. The high spatial-spectral resolution, multi-instrument and multi-period satellite images were used for…
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Keywords:
satellite;
classification;
pixel level;
level fusion ... See more keywords
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Published in 2022 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.105185
Abstract: Lymph node metastasis also called nodal metastasis (Nmet), is a clinically primary task for physicians. The survival and recurrence of lung cancer are related to the Nmet staging from Tumor-Node-Metastasis (TNM) reports. Furthermore, preoperative Nmet…
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Keywords:
energy;
energy level;
level fusion;
tumor ... See more keywords
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Published in 2021 at "Food chemistry"
DOI: 10.1016/j.foodchem.2021.130154
Abstract: The implementation of Raman and infrared spectroscopy with three data fusion strategies to predict pH and % IMF content of red meat was investigated. Raman and FTIR systems were utilized to assess quality parameters of…
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Keywords:
high level;
red meat;
level fusion;
spectroscopy ... See more keywords
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Published in 2020 at "Fuel"
DOI: 10.1016/j.fuel.2019.116721
Abstract: Abstract Data fusion from different analytical sources can be a feasible way to estimate physicochemical properties of petroleum when compared to using a single analytical technique. This occurs because outputs of different instrumental techniques can…
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Keywords:
data fusion;
ftir 13c;
level fusion;
fusion ... See more keywords
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Published in 2022 at "Analytical Chemistry"
DOI: 10.1021/acs.analchem.1c04792
Abstract: The shockwave produced alongside the plasma during a laser-induced breakdown spectroscopy event can be recorded as an acoustic pressure wave to obtain information related to the physical traits of the inspected sample. In the present…
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Keywords:
fusion;
level fusion;
libs acoustic;
laser ... See more keywords
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Published in 2021 at "Geocarto International"
DOI: 10.1080/10106049.2021.1959655
Abstract: In this paper, a deep convolutional neural network (CNN) is developed to classify the Unmanned Aerial Vehicle (UAV) derived multispectral imagery and normalized digital surface model (DSM) data in ...
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Keywords:
multispectral imagery;
imagery;
level fusion;
feature level ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3042501
Abstract: Understanding the scenes provided by remote sensing (RS) images has drawn increasing attention in the last decade. It is to automatically classify a RS scene image by feature extraction and label assignment. Although much effort…
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Keywords:
scene;
level fusion;
classification;
feature ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3054735
Abstract: The existence of pulmonary nodules exhibits the presence of lung cancer. The Computer-Aided Diagnostic (CAD) and classification of such nodules in CT images lead to improve the lung cancer screening. The classic CAD systems utilize…
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Keywords:
decision level;
level fusion;
feature;
nodule classification ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3137392
Abstract: 3D vehicle detectors based on point clouds generally have higher detection performance than detectors based on multi-sensors. However, with the lack of texture information, point-based methods get many missing detection of occluded and distant vehicles,…
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Keywords:
point clouds;
level fusion;
clouds images;
detection ... See more keywords