Abstract: Combining spectral and spatial features in hyperspectral image classification is a common practice due to the improvements in classification accuracy that can be obtained by extracting ...

Abstract: Spatial crowdsourcing, a human-centric compelling paradigm in performing spatial tasks, has drawn rising attention. Task assignment is of paramount importance in spatial crowdsourcing.

Innovative flood sensors and machine learning are key to smart cities, providing timely predictions and enhancing urban flood ...

But AI is being used in these fields through techniques that researchers have studied for years and whose strengths and ...

Vadzo Imaging explains the imaging architecture decisions that define autonomous navigation reliability, presenting the ...

Machine learning (ML) is reshaping pipeline integrity management (PIM) from physics-based to data-driven paradigms. This ...

A list of recent papers about adversarial learning - Trustworthy-AI-Group/Adversarial_Examples_Papers ...

The innovative AOFS-IC architecture enables fully optical-domain sensing, achieving remarkable speed and accuracy for ...

Stretchable neuromorphic electronics from the University of Chicago can now run cardiac AI directly on the body in 10 ...

With Earth observation expected to contribute over US$700 billion to global GDP by 2030, its role in supporting informed, sustainable decision-making is becoming increasingly critical. This article ...

Explore the ultimate guide to automated brain organoid culture workflows and learn how the CellXpress.ai system enables scalable ...