Frontiers

Artificial intelligence and deep learning for neural data analysis

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...
Frontiers

Advancing Computational Material Science and Mechanics through Integrated Deep Learning Models

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...
IEEE

A Comprehensive Survey on Machine and Deep Learning for Optical Communications

Abstract: The increasing complexity of optical communication systems and networks necessitates advanced methodologies for extracting valuable insights from vast and heterogeneous datasets. Machine ...
Phys.org

Between rain and snow, machine learning finds nine precipitation types

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
C&EN

A Comparative Evaluation of Machine Learning and Deep Graph Learning for Chemical Ecotoxicological Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Scientific Research Publishing

Deformation Control and Early Warning Analysis of Deep Riverside Foundation Pit Construction Process Based on Machine Learning ()

1 China Communications Third Shipping Engineering Bureau Co., Ltd., Shanghai, China. 2 School of Civil Engineering, Wuhan University, Wuhan, China. The large deep foundation pit projects usually face ...
IEEE

MultiSenseNet: Multi-Modal Deep Learning for Machine Failure Risk Prediction

Abstract: Predictive maintenance plays a key role in industrial manufacturing by identifying machine failure risks early. This prevents downtime and improves efficiency, contributing towards industry ...
C&EN

Historical Data Mining Deep Dive into Machine Learning-Aided 2D Materials Research in Electrochemical Applications

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
Microsoft

Accurate and scalable exchange-correlation with deep learning

Density Functional Theory (DFT) is the most widely used electronic structure method for predicting the properties of molecules and materials. Although DFT is, in principle, an exact reformulation of ...