Abstract: Deep learning is presently an effective research area in machine learning technique and pattern classification association. This has achieved big success in the areas of application namely ...

Keywords: deep-learning, functional MRI, neural network, feature extraction, psychiatric diagnosis, self-supervised learning. Citation: Hashimoto Y, Ogata Y, Honda M and Yamashita Y (2021) Deep ...

The example covers three of the most popular audio feature extraction algorithms: Short-time Fourier transform (STFT) and its inverse (ISTFT). Mel spectrogram. Mel-frequency cepstral coefficients ...

Deep Learning feature extraction Traditional feature extractors can be replaced by a convolutional neural network(CNN), since CNN’s have a strong ability to extract complex features that express the ...

Deep learning algorithms consider a number of hyper-parameters during model ... Iqbal N, Khan S, Muhammad Khan D, Khan A and Wei D-Q (2020) Prediction of Recombination Spots Using Novel Hybrid Feature ...

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion remains a formidable technical hurdle. A new global study takes on this ...

Abstract: Deep learning is presently an effective research area in machine learning technique and pattern classification association. This has achieved big success in the areas of application namely ...