Strengthening the Science and Technology (S&T) Councils in states is pivotal to building a resilient and self-reliant Viksi ...

In this letter, we propose a novel AL method to boost semi-supervised object detection (SSOD) for remote sensing images with a teacher–student network, called SSOD-AT. The proposed method incorporates ...

Instead of focusing on sensor readings at specific points, their magnetoreceptor captures electrical resistance information ...

Drones can now detect subtle soybean canopy damage from dicamba at one ten-thousandth of the herbicide’s label rate — ...

Across Europe and around the world, melting glaciers are reshaping landscapes and climate systems. Researchers Elzė ...

Drones can now detect subtle soybean canopy damage from dicamba at one ten-thousandth of the herbicide's label ...

Drones can now detect subtle soybean canopy damage from dicamba at one ten-thousandth of the herbicide's label rate - ...

FireSat is the first in a proposed constellation of more than 50 satellites that Muon Space hopes to use to monitor and ...

Summer break meant diving into marine research, hiking Greek islands, and using space tech to track climate change ...

Purdue Agriculture researchers are harnessing the power of artificial intelligence (AI) and machine learning (ML) to amplify ...

Keywords: remote sensing sample datasets, remote sensing sample retrieval, remote sensing sample database, AI-enabled remote sensing application, remote sensing imagery, deep learning, label category ...

Label-free approaches also allow for real-time analysis, offering faster and more detailed insights compared to traditional methods. A particularly promising area of label-free detection is ...