Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
It’s been three-and-a-half years since generative AI exploded onto the scene. In this past year, progress has continued its relentless pace: Vibe coding took off, companies embraced agentic workflows, ...
Connecticut prosecutors and police chiefs have put the brakes on the rapidly expanding acquisition by police agencies of artificial intelligence-powered law enforcement tools until the emerging ...
A new study finds that certain patterns of AI use are driving cognitive fatigue, while others can help reduce burnout. by Julie Bedard, Matthew Kropp, Megan Hsu, Olivia T. Karaman, Jason Hawes and ...
Moving heavy materials through cutting, polishing and coating stages requires precise balancing of load capacity and motion speed. Here’s how the right linear guidance selection and configuration can ...
There is an increasing trend in the global food market industries to improve the food products value chains through different techniques 1. Drying is one of the most common food preservation ...
Linear Programming (LP) is a core optimization tool in oil refining, using mathematical models to find the best mix of crude oils and operating conditions to maximize profit or minimize costs, by ...
Asphalt is a complex multi-component material widely used in road engineering, waterproofing and other applications 1,2. Based on its compositional characteristics, asphalt is typically divided into ...
Graduate Program in Biotechnology, Federal University of Pará, Belém 66075-110, Brazil Graduate Program in Process Engineering, Federal University of Pará, Belém 66075-110, Brazil Faculty of Chemical ...
Abstract: Energy optimization is a critical challenge in wireless sensor networks (WSNs) due to its direct impact on the network lifetime. This paper proposes the use of the K-means algorithm combined ...
MATLAB is a high-performance language and interactive environment used by millions of engineers and scientists worldwide for technical computing, data analysis, algorithm development, and ...
This paper presents a novel approach to the joint optimization of job scheduling and data allocation in grid computing environments. We formulate this joint optimization problem as a mixed integer ...