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Περιορισμοί Υποτροφία Μοίρα data feature extraction nature preprocessing physical Εξάντληση Χαϊκού Δομικά

Structure-based protein function prediction using graph convolutional  networks | Nature Communications
Structure-based protein function prediction using graph convolutional networks | Nature Communications

Uncovering material deformations via machine learning combined with  four-dimensional scanning transmission electron microscopy | npj  Computational Materials
Uncovering material deformations via machine learning combined with four-dimensional scanning transmission electron microscopy | npj Computational Materials

Recent advances and applications of machine learning in solid-state  materials science | npj Computational Materials
Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials

Heterogeneous graph construction and HinSAGE learning from electronic  medical records | Scientific Reports
Heterogeneous graph construction and HinSAGE learning from electronic medical records | Scientific Reports

A flow feature detection method for modeling pressure distribution around a  cylinder in non-uniform flows by using a convolutional neural network |  Scientific Reports
A flow feature detection method for modeling pressure distribution around a cylinder in non-uniform flows by using a convolutional neural network | Scientific Reports

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

Procedure of data preprocessing, feature extraction, classification,... |  Download Scientific Diagram
Procedure of data preprocessing, feature extraction, classification,... | Download Scientific Diagram

Training confounder-free deep learning models for medical applications |  Nature Communications
Training confounder-free deep learning models for medical applications | Nature Communications

How to apply machine learning and deep learning methods to audio analysis |  by Gideon Mendels | Towards Data Science
How to apply machine learning and deep learning methods to audio analysis | by Gideon Mendels | Towards Data Science

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

Deep learning in mental health outcome research: a scoping review |  Translational Psychiatry
Deep learning in mental health outcome research: a scoping review | Translational Psychiatry

Deep neural networks for the evaluation and design of photonic devices |  Nature Reviews Materials
Deep neural networks for the evaluation and design of photonic devices | Nature Reviews Materials

Fast and interpretable classification of small X-ray diffraction datasets  using data augmentation and deep neural networks | npj Computational  Materials
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks | npj Computational Materials

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

Peak learning of mass spectrometry imaging data using artificial neural  networks | Nature Communications
Peak learning of mass spectrometry imaging data using artificial neural networks | Nature Communications

Flowchart of preprocessing, feature extraction and data splitting applied.  | Download Scientific Diagram
Flowchart of preprocessing, feature extraction and data splitting applied. | Download Scientific Diagram

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

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

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

Remaining useful life prognosis of turbofan engines based on deep feature  extraction and fusion | Scientific Reports
Remaining useful life prognosis of turbofan engines based on deep feature extraction and fusion | Scientific Reports

Democratising deep learning for microscopy with ZeroCostDL4Mic | Nature  Communications
Democratising deep learning for microscopy with ZeroCostDL4Mic | Nature Communications

Overview preprocessing, feature extraction and classification. | Download  Scientific Diagram
Overview preprocessing, feature extraction and classification. | Download Scientific Diagram

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

Applications of deep-learning approaches in horticultural research: a  review | Horticulture Research
Applications of deep-learning approaches in horticultural research: a review | Horticulture Research

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

Deep learning for the design of photonic structures | Nature Photonics
Deep learning for the design of photonic structures | Nature Photonics