CBS

Deep learning for time series forecasting and nowcasting

This study is an exploration of where we can expect added value for forecasting and nowcasting time series in official statistics by using deep learning techniques, as an alternative to classic time ...

New deep learning model enhances roadside air pollutant forecasting accuracy

A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of ...
TNO

Internship | Applying deep learning to time series of radar data

Nowadays, deep learning techniques are used in a wide variety of domains, including the radar domain. In the radar domain, deep learning is primarily applied for classification based on some 2D ...
Time

Deep Learning

This article is published by AllBusiness.com, a partner of TIME. What is "Deep Learning"? Deep learning is a subset of machine learning, which itself is a branch of artificial intelligence (AI). It ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

Deep learning, knowledge agents: How D-FW companies are upping their game with AI

From deep learning for medical research to a variety of self-service knowledge agents, D-FW companies continue to up their ...