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Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6706-x
Abstract: Visualizations help decipher latent patterns in music and garner a deep understanding of a song’s characteristics. This paper offers a critical analysis of the effectiveness of various state-of-the-art Deep Neural Networks in visualizing music. Several…
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Keywords:
effective analysis;
analysis;
deep learning;
based approaches ... See more keywords
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Published in 2017 at "Acta Geophysica"
DOI: 10.1007/s11600-017-0101-2
Abstract: Joint analysis of deep three-dimensional models of the electrical resistivity, seismic velocity, and density of the complex hosting the Sorskoe Cu–Mo deposit (Russia) is carried out aimed at finding geophysical markers characterizing the areas of…
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Keywords:
joint analysis;
copper;
conceptual model;
model ... See more keywords
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Published in 2023 at "Chaos"
DOI: 10.1063/5.0136492
Abstract: We introduce a generalization of the celebrated ordinal pattern approach for the analysis of time series, in which these are evaluated in terms of their distance to ordinal patterns defined in a continuous way. This…
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Keywords:
ordinal patterns;
analysis deep;
analysis;
deep learning ... See more keywords
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Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3167373
Abstract: Underdeveloped countries in sub-Saharan Africa often contain cultural subpopulations that are underserved in regard to health and education. This perpetuates the health challenges of the country as a whole, and it is therefore of interest…
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Keywords:
health;
analysis deep;
deep learning;
maasai boma ... See more keywords
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Published in 2023 at "Journal of Healthcare Engineering"
DOI: 10.1155/2023/9816823
Abstract: [This retracts the article DOI: 10.1155/2022/1122536.].
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Keywords:
analysis deep;
retracted performance;
learning models;
deep learning ... See more keywords
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Published in 2019 at "Advances in Mechanical Engineering"
DOI: 10.1177/1687814019874561
Abstract: With the advancement of technology, aiming for achieving a greater lightness and smaller size of 3C products, parts processing technology not only needs to explore the basic scientific theory of materials but also needs to…
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Keywords:
finite element;
deep drawing;
aluminum alloy;
analysis ... See more keywords
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Published in 2019 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2018.00100
Abstract: Deep artificial neural networks are feed-forward architectures capable of very impressive performances in diverse domains. Indeed stacking multiple layers allows a hierarchical composition of local functions, providing efficient compact mappings. Compared to the brain, however,…
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Keywords:
big data;
learning;
bio inspired;
deep learning ... See more keywords
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Published in 2022 at "Healthcare"
DOI: 10.3390/healthcare10101892
Abstract: Within the ever-growing healthcare industry, dental informatics is a burgeoning field of study. One of the major obstacles to the health care system’s transformation is obtaining knowledge and insightful data from complex, high-dimensional, and diverse…
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Keywords:
dental informatics;
analysis deep;
learning;
deep learning ... See more keywords
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Published in 2022 at "IEEE journal of biomedical and health informatics"
DOI: 10.48550/arxiv.2211.01738
Abstract: Despite their remarkable performance, deep neural networks remain unadopted in clinical practice, which is considered to be partially due to their lack of explainability. In this work, we apply explainable attribution methods to a pre-trained…
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Keywords:
classification;
analysis deep;
relevance scores;
features similar ... See more keywords