Crop monitoring requires vast amounts of labeled images covering different plant species, growth stages, and environmental conditions. Yet most available datasets remain small, fragmented, or ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

We’ve put together a guide that breaks down the basics, from what Python is all about to how you can actually start using it.

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Abstract: Convolutional Neural Networks have become a widely used technology. Typically, the performance of CNN models is measured using an accuracy score obtained on a single dataset. This often ...

Razer, the gaming gadget company, is taking a step forward in its software development with the announcement of the open beta for Razer Synapse 4. This new stage in the device configuration program ...

PyTorch training and evaluation code for RETR (Radar dEtection TRansformer). RETR inherits the advantages of DETR, eliminating the need for hand-crafted components for object detection and ...

Our technical report has been released on the arXiv. We also introduce this dataset in Chinese on our Zhihu Webpage. We unify the definition of visual localization methods for UAVs in real scenarios ...

Abstract: Ship recognition in remote sensing imagery is crucial for numerous applications such as monitoring maritime security, preventing illegal activities, and implementing environmental protection ...

Systemic lupus erythematosus (SLE) is a complex and potentially life-threatening autoimmune disease. Part of the complexity stems from how it can differ from person to person—giving rise to marked ...