Abstract: In dynamic environments, optimization algorithms tend to track the changing optima. However, frequent changes to decision solutions often cause high switching costs and system instability.

In high-intensity laser–matter interactions, including laser-induced particle acceleration, physicists generally want to work ...

What if the future of robotics wasn’t a single machine but an intelligent swarm, moving as one, adapting to its environment, and executing tasks with precision? Imagine a fleet of drones navigating a ...

Decentralized artificial intelligence protocol Swarm Network raised a total of $13 million to build an AI verification protocol. According to a Wednesday announcement shared with Cointelegraph, $10 ...

ABSTRACT: Accurately predicting individual responses to antidepressant treatment is a critical step toward achieving personalized psychiatry and minimizing the ...

School of Mechanical Engineering, Shandong Huayu University of Technology, Dezhou, China Introduction: Regenerative braking control technology has been widely implemented in electric vehicles (EVs) to ...

Background: Accurate forecasting of lung cancer incidence is crucial for early prevention, effective medical resource allocation, and evidence-based policymaking. Objective: This study proposes a ...

Abstract: This letter deals with the estimation of the refractive index of snowpack based on particle swarm optimization (PSO) algorithm. By leveraging its ability to handle multidimensional ...

ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...

Researchers have discovered a way to make tiny robots act like a material, mirroring embryonic tissue cells to adjust their structure on command. When you purchase through links on our site, we may ...