Abstract: In this paper, an optimization algorithm based on deep reinforcement learning is proposed to optimize complex networks in fixed-time convergence of continuous action iteration dilemmas. The ...

Abstract: This paper presents an advanced excavation automation framework that improves trajectory efficiency and improves operational stability in diverse and complex soil conditions. The framework ...

The sector currently witnesses a dynamic paradigm shift toward swarm autonomy and hybrid connectivity. Defense bodies and energy giants aggressively prioritize tether-less operations, effectively ...

Until recently, search engines were the predominant method for people to access online information. The recent emergence of large language models (LLMs) has given machines new capabilities such as the ...

A research team affiliated with UNIST has unveiled a novel electrochemical system that converts carbon dioxide (CO₂), a major contributor to climate change, into high-value chemical products, like ...