Loss functions and constraints improve sea surface height prediction

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
IEEE

3D Part Machining Time Prediction With Parameter Extraction, Deep Learning, and 3D Data Augmentation

Abstract: In the aviation industry, an aircraft consists of thousands of detail parts in different types of materials. The sizes of these parts can range from centimeters to meters, and their ...
EurekAlert!

Maize-IRNet: a deep-learning “field scorer” for tassel anthers and ear seed set

A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.
Frontiers

Can deep learning technology really recognize Mpox? A positive response from the EfficientNet model

On July 23, 2022, the World Health Organization (WHO) officially announced that the Mpox outbreak was upgraded to a “Public Health Emergency of International Concern” (PHEIC), 1 which is the highest ...
Scientific Research Publishing

Shorten, C. and Khoshgoftaar, T.M. (2019) A Survey on Image Data Augmentation for Deep Learning. Journal of Big Data, 6, 1-48.

ABSTRACT: High-quality data is essential for hospitals, public health agencies, and governments to improve services, train AI models, and boost efficiency. However, real data comes with challenges: ...
Scientific Research Publishing

Wang, Y., Polson, N. and Sokolov, V.O. (2023) Data Augmentation for Bayesian Deep Learning. arXiv: 1903.09668.

ABSTRACT: High-quality data is essential for hospitals, public health agencies, and governments to improve services, train AI models, and boost efficiency. However, real data comes with challenges: ...
IEEE

A Study of Data Augmentation for Learning-Driven Scientific Visualization

Abstract: The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available ...
The New York Times

Trump Taps Palantir to Compile Data on Americans

The Trump administration has expanded Palantir’s work with the government, spreading the company’s technology — which could easily merge data on Americans — throughout agencies. Alex Karp, a ...
Frontiers

Deep learning-driven 3D marine nitrate estimation: uncertainty mitigation through underwater signal exploitation and label augmentation

1 Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China 2 School of Computer Science And Technology, Shandong Technology ...
Microsoft

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation

To develop and evaluate a new deep learning MR denoising method that leverages quantitative noise distribution information from the reconstruction process to improve denoising performance and ...