Morphological profiling allows accurate identification of cell types in dense iPSC-derived cultures, allowing its use for quality control and differentiation monitoring.

This article establishes a neural network-based technique for automatic peak picking in 2D NMR spectroscopy, demonstrating a ...

Study highlights the potential of advanced CNNs for automated seizure detection in neonates, improving outcomes and reducing ...

Whisky, whether a smoky Scotch or a delicate Bourbon, has a complex aroma. Dozens of different compounds (often, over 40) ...

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

This innovation could pave the way for creating large-scale quantum networks, overcoming one of the key challenges in the field: transmission loss over long distances. “Photonic integrated quantum ...

In this study, we introduce an advanced demodulation approach utilizing a one-dimensional convolutional neural network (1D-CNN) for feature extraction and the analysis of spectral signals from surface ...

Abstract: Attributed graph clustering is of significance for an in-depth understanding of the intrinsic organization of complex networks. Recently, owing to the powerful learning capability of deep ...