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.
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 ...
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 ...
1 Research Department of State Grid Zhejiang Electric Power Research Institute, Hangzhou, China 2 Research Department of State Grad Aksu Electric Power Supply Company, Aksu, China To address the ...