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Published in 2020 at "Journal of the Association for Information Science and Technology"
DOI: 10.1002/asi.24214
Abstract: Web ad effect evaluation is a challenging problem in web marketing research. Although the analysis of web ad effectiveness has achieved excellent results, there are still some deficiencies. First, there is a lack of an…
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Keywords:
based multimodal;
memory model;
web effect;
multimodal features ... See more keywords
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Published in 2022 at "Chemmedchem"
DOI: 10.1002/cmdc.202100739
Abstract: In the present study we describe and explain an aberrant behavior in terms of receptor binding profile of a fluorescein‐based multimodal imaging agent for gastrin releasing peptide receptor (GRPR) visualization by elucidating a chelating mechanism…
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Keywords:
fluorescein based;
multimodal imaging;
charge;
based multimodal ... See more keywords
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Published in 2020 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.27098
Abstract: MRI‐based radiomics has been used to diagnose breast lesions; however, little research combining quantitative pharmacokinetic parameters of dynamic contrast‐enhanced MRI (DCE‐MRI) and diffusion kurtosis imaging (DKI) exists.
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Keywords:
radiomics based;
based multimodal;
mri differential;
breast ... See more keywords
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Published in 2023 at "Obesity"
DOI: 10.1002/oby.23744
Abstract: This study aimed to evaluate the effectiveness of the app‐based, multimodal weight loss program zanadio.
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Keywords:
based multimodal;
multimodal weight;
app based;
weight loss ... See more keywords
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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.06.087
Abstract: Abstract With the development of computer vision in recent year, 3D models have been utilized in many applications, such as virtual reality, medical surgical, geographic information system. With the growth of 3D models, it is…
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Keywords:
based multimodal;
models retrieval;
algorithm based;
model ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.09.005
Abstract: Abstract Deep learning has been successfully applied to multimodal representation learning. Similar with single modal deep learning method, such multimodal deep learning methods consist of a greedy layer-wise feedforward propagation and a backpropagation (BP) fine-tune…
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Keywords:
based multimodal;
framework;
extreme learning;
learning machine ... See more keywords
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Published in 2024 at "ACS nano"
DOI: 10.1021/acsnano.4c12996
Abstract: Surface-enhanced Raman scattering (SERS) spectroscopy is a versatile molecular fingerprinting technique with rapid signal readout, high aqueous compatibility, and portability. To translate SERS for real-world applications, it is pertinent to overcome inherent challenges, including high…
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Keywords:
surface enhanced;
multimodal techniques;
raman scattering;
enhanced raman ... See more keywords
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Published in 2025 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbaf636
Abstract: Abstract Drug repurposing significantly reduces development costs and shortens research cycles, making it a critical strategy in drug discovery. An emerging class of drug repurposing approaches applies deep learning to structural data. However, these methods…
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Keywords:
drug repurposing;
prompt based;
representation learning;
multimodal representation ... See more keywords
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2
Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.2996009
Abstract: A healthy diet is a major concern for everyone, especially for those with specific diseases, such as diabetes. Meanwhile, with the rapid development of new technologies, it is feasible for us to detect the deep…
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Keywords:
system;
food;
multimodal data;
based multimodal ... See more keywords
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Published in 2018 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2018.2873498
Abstract: This paper is addressing the social relationship labeling problem by exploiting users' multi-modal behaviors and abundant social interactions on Twitter. This can effectively alleviate the problem of lacking specific information of following relationships. The experimental…
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Keywords:
labeling based;
relationship labeling;
social relationship;
based multimodal ... See more keywords
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Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3159583
Abstract: In next-generation network architecture, the Cybertwin drove the sixth generation of cellular networks sixth-generation (6G) to play an active role in many applications, such as healthcare and computer vision. Although the previous sixth-generation (5G) network…
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Keywords:
cybertwin based;
network;
ecg patterns;
based multimodal ... See more keywords