A new tool for a complex business environment With Deep Research, AlphaSense continues its push to simplify the work of professionals operating in fast-moving and data-dense environments.

Deep Research reports can present multiple viewpoints with examples and evidence to deepen your understanding of nuances. You can also ask for notable quotes and an annotated reading list.

Reconstruction loss and KL divergence were used to detect abnormal behavior, and Particle Swarm Optimization (PSO) was applied to optimize the deep autoencoder structure. Yao et al. [51] proposed ...

Lithofacies classification is an indispensable procedure in well logging and seismic data interpretation. We propose a novel deep classified autoencoder learning approach to identify lithofacies for ...

As a popular structure of the deep neural network, the autoencoder has been widely used in different fields, including shape representation (11) and image segmentation (12). The autoencoder was also ...

In this paper, we suggest a novel deep learning-based PI model with feature extraction using a deep autoencoder and k -means clustering through a cross-sectional study of sleep disturbance patient ...

Deep Classified Autoencoder for Lithofacies Identification Abstract: Lithofacies classification is an indispensable procedure in well logging and seismic data interpretation. We propose a novel deep ...