![Deep learning approach for chemistry and processing history prediction from materials microstructure | Scientific Reports Deep learning approach for chemistry and processing history prediction from materials microstructure | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-022-08484-7/MediaObjects/41598_2022_8484_Fig1_HTML.png)
Deep learning approach for chemistry and processing history prediction from materials microstructure | Scientific Reports
![Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data | Nature Communications Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data | Nature Communications](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-021-26921-5/MediaObjects/41467_2021_26921_Fig1_HTML.png)
Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data | Nature Communications
![Structure-based protein function prediction using graph convolutional networks | Nature Communications Structure-based protein function prediction using graph convolutional networks | Nature Communications](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-021-23303-9/MediaObjects/41467_2021_23303_Fig1_HTML.png)
Structure-based protein function prediction using graph convolutional networks | Nature Communications
![Remote Sensing | Free Full-Text | Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review Remote Sensing | Free Full-Text | Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review](https://www.mdpi.com/remotesensing/remotesensing-12-02495/article_deploy/html/images/remotesensing-12-02495-ag.png)
Remote Sensing | Free Full-Text | Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review
![Applied Sciences | Free Full-Text | Keyword Extraction Algorithm for Classifying Smoking Status from Unstructured Bilingual Electronic Health Records Based on Natural Language Processing Applied Sciences | Free Full-Text | Keyword Extraction Algorithm for Classifying Smoking Status from Unstructured Bilingual Electronic Health Records Based on Natural Language Processing](https://www.mdpi.com/applsci/applsci-11-08812/article_deploy/html/images/applsci-11-08812-g001.png)
Applied Sciences | Free Full-Text | Keyword Extraction Algorithm for Classifying Smoking Status from Unstructured Bilingual Electronic Health Records Based on Natural Language Processing
How to apply machine learning and deep learning methods to audio analysis | by Gideon Mendels | Towards Data Science
![Applications of deep-learning approaches in horticultural research: a review | Horticulture Research Applications of deep-learning approaches in horticultural research: a review | Horticulture Research](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41438-021-00560-9/MediaObjects/41438_2021_560_Fig1_HTML.png)
Applications of deep-learning approaches in horticultural research: a review | Horticulture Research
![Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets | Nature Communications Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets | Nature Communications](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41467-020-18037-z/MediaObjects/41467_2020_18037_Fig1_HTML.png)
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets | Nature Communications
![Sensors | Free Full-Text | New Sensor Data Structuring for Deeper Feature Extraction in Human Activity Recognition Sensors | Free Full-Text | New Sensor Data Structuring for Deeper Feature Extraction in Human Activity Recognition](https://www.mdpi.com/sensors/sensors-21-02814/article_deploy/html/images/sensors-21-02814-g002.png)
Sensors | Free Full-Text | New Sensor Data Structuring for Deeper Feature Extraction in Human Activity Recognition
![Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatments | Scientific Reports Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatments | Scientific Reports](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41598-020-64246-3/MediaObjects/41598_2020_64246_Fig1_HTML.png)
Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatments | Scientific Reports
![Feature Extraction Techniques. An end to end guide on how to reduce a… | by Pier Paolo Ippolito | Towards Data Science Feature Extraction Techniques. An end to end guide on how to reduce a… | by Pier Paolo Ippolito | Towards Data Science](https://miro.medium.com/max/1234/1*dn6881AU9C06if2SZJZRag.gif)
Feature Extraction Techniques. An end to end guide on how to reduce a… | by Pier Paolo Ippolito | Towards Data Science
![Data-driven identification of 2D Partial Differential Equations using extracted physical features - ScienceDirect Data-driven identification of 2D Partial Differential Equations using extracted physical features - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0045782521001687-gr4.jpg)
Data-driven identification of 2D Partial Differential Equations using extracted physical features - ScienceDirect
![A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity | Scientific Reports A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-022-05079-0/MediaObjects/41598_2022_5079_Fig1_HTML.png)
A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity | Scientific Reports
![Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning | Nature Communications Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning | Nature Communications](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-021-26511-5/MediaObjects/41467_2021_26511_Fig1_HTML.png)
Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning | Nature Communications
Steps for classification of DNA sequence: feature extraction, feature... | Download Scientific Diagram
![A deep learning based framework for the registration of three dimensional multi-modal medical images of the head | Scientific Reports A deep learning based framework for the registration of three dimensional multi-modal medical images of the head | Scientific Reports](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41598-021-81044-7/MediaObjects/41598_2021_81044_Fig1_HTML.png)
A deep learning based framework for the registration of three dimensional multi-modal medical images of the head | Scientific Reports
![Flowchart of preprocessing, feature extraction and data splitting applied. | Download Scientific Diagram Flowchart of preprocessing, feature extraction and data splitting applied. | Download Scientific Diagram](https://www.researchgate.net/publication/338502268/figure/fig2/AS:845722593271809@1578647387272/Flowchart-of-preprocessing-feature-extraction-and-data-splitting-applied.png)
Flowchart of preprocessing, feature extraction and data splitting applied. | Download Scientific Diagram
![Genetic algorithm for the optimization of features and neural networks in ECG signals classification | Scientific Reports Genetic algorithm for the optimization of features and neural networks in ECG signals classification | Scientific Reports](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fsrep41011/MediaObjects/41598_2017_Article_BFsrep41011_Fig1_HTML.jpg)
Genetic algorithm for the optimization of features and neural networks in ECG signals classification | Scientific Reports
![An ensemble learning approach to digital corona virus preliminary screening from cough sounds | Scientific Reports An ensemble learning approach to digital corona virus preliminary screening from cough sounds | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-021-95042-2/MediaObjects/41598_2021_95042_Fig1_HTML.png)