Li, G. , Wei, G. and Xi, Z. (2026) UWB NLOS Signal Recognition Based on Deep Learning. Open Journal of Applied Sciences, 16, 779-797. doi: 10.4236/ojapps.2026.163048 .
As artificial intelligence rapidly reshapes how organisations build products, manage risk, serve customers and run operations, the need for professionals who can design, deploy and govern intelligent ...
Overview Modern AI laptops come with dedicated Neural Processing Units (NPUs) that are ideal for boosting AI-related ...
Abstract: The wide range acquisition of all-weather land surface temperatures (LSTs) from passive microwave (PMW) remotely sensed data contributes to understanding the land-atmosphere interactions, ...
This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
Overview PyTorch courses focus strongly on real-world Deep Learning projects and production skills.Transformer models and NLP training are now core parts of mos ...
A FULLY automated deep-learning radiomic biomarker derived from serial CT imaging has demonstrated strong prognostic value for overall survival in patients with advanced non–small cell lung cancer ...
A deep learning model using baseline fundus images accurately predicted myopia and high myopia risk in school-aged children More than half of children without myopia at baseline developed the ...
Citation O. Taran, S. Bonev, and S. Voloshynovskiy, "Clonability of anti-counterfeiting printable graphical codes: a machine learning approach," in Proc. IEEE International Conference on Acoustics, ...
A total of 17.9 million people were estimated to be living with rheumatoid arthritis globally in 2021, representing a 13.2% increase in incidence since 1990. The global burden of rheumatoid arthritis ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results