Mobile Phone Emissions in 5G FR1: Using Statistic Inferences and Deep Learning for Empiric Features Extraction.
Simona MiclausDelia Bianca DeaconescuDavid VatamanuAndreea Maria BudaPublished in: M&N (2024)
Keyphrases
- mobile phone
- deep learning
- features extraction
- automatic classification
- unsupervised feature learning
- feature extraction
- unsupervised learning
- mobile devices
- machine learning
- wavelet transform
- character recognition
- mental models
- weakly supervised
- face recognition
- mobile phone users
- computer vision
- high resolution
- machine vision
- feature space
- extracted features
- fingerprint images
- data sets