Dysarthric-speech detection using transfer learning with convolutional neural networks
Sign Up to like & getrecommendations! Published in 2021 at "ICT Express"
DOI: 10.1016/j.icte.2021.07.004
Abstract: Abstract Speech Dysarthria is a disorder in which speech muscles become weak, and it becomes difficult to articulate otherwise linguistically normal speech. This work is based on detection of speech dysarthria and how it can… read more here.
Keywords: transfer learning; detection; using transfer; speech ... See more keywords
Building Chemical Property Models for Energetic Materials from Small Datasets Using a Transfer Learning Approach
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c00841
Abstract: For many experimentally measured chemical properties that cannot be directly computed from first-principles, the existing physics-based models do not extrapolate well to out-of-sample molecules, and experimental datasets themselves are too small for traditional machine learning… read more here.
Keywords: transfer; using transfer; transfer learning; learning approach ... See more keywords
Enabling CT-Scans for covid detection using transfer learning-based neural networks
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biomolecular Structure and Dynamics"
DOI: 10.1080/07391102.2022.2034668
Abstract: Abstract Today, we are coping with the pandemic, and the novel virus is covertly evolving day by day. Therefore, a precautionary system to deal with the issue is required as early as possible. The last… read more here.
Keywords: using transfer; scans covid; transfer learning; enabling scans ... See more keywords
Vision-based defects detection for bridges using transfer learning and convolutional neural networks
Sign Up to like & getrecommendations! Published in 2019 at "Structure and Infrastructure Engineering"
DOI: 10.1080/15732479.2019.1680709
Abstract: Abstract Manual visual inspection is customarily used to identify and evaluate service status of bridges. However, current procedures followed by human inspectors demand long inspection time to access bridges. Also, highly relying on subjective or… read more here.
Keywords: transfer learning; vision based; using transfer; convolutional neural ... See more keywords
Efficient Detection of Longitudinal Bacteria Fission Using Transfer Learning in Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Microbiology"
DOI: 10.3389/fmicb.2021.645972
Abstract: A very common way to classify bacteria is through microscopic images. Microscopic cell counting is a widely used technique to measure microbial growth. To date, fully automated methodologies are available for accurate and fast measurements;… read more here.
Keywords: detection longitudinal; transfer learning; using transfer; division ... See more keywords
Implementation of an Attention Mechanism Model for Facial Beauty Assessment Using Transfer Learning
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13071291
Abstract: An important consideration in medical plastic surgery is the evaluation of the patient’s facial symmetry. However, because facial attractiveness is a slightly individualized cognitive experience, it is difficult to determine face attractiveness manually. This study… read more here.
Keywords: transfer learning; attention mechanism; using transfer; model ... See more keywords
Twitter Sentiment Analysis and Influence on Stock Performance Using Transfer Entropy and EGARCH Methods
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24070874
Abstract: Financial economic research has extensively documented the fact that the impact of the arrival of negative news on stock prices is more intense than that of the arrival of positive news. The authors of the… read more here.
Keywords: transfer entropy; sentiment; using transfer; news ... See more keywords