A new artificial intelligence approach combines deep learning with physical modeling to extract detailed aerosol properties from complex satellite observations. By learning how light intensity and ...

Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...

This repo involves approach based on bio-inspired algorithms to solve the MATLAB and Simulink Challenge Project - Multi-UAV Path Planning for Urban Air Mobility. There is more information in this ...

1 College of Electromechanical Engineering, Qingdao University of Science and Technology, Shandong Province, China 2 Shandong Gaomi Technician Institute, Shandong Province, China For the low ...

Trucker Path has launched "Trucker Path Insurance," entering the insurance sector as an independent agent focused on simplifying and economizing the insurance process for individual drivers and small ...

Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel disruptive, indicating that the changes may have been more subtle than game ...

ABSTRACT: In any military operation, reliable logistics is essential to maintaining a combat-effective force. Without the continual resupply of ammunition, food, and other materiel, forces cannot ...

It's difficult to make a vector stroke that gradually gets thicker. It looks like the only way to do this is using the "pump" tool. The pump tool can adjust thickness, but lacks precision both in ...