Abstract: Channel prediction is an effective approach for reducing the feedback or estimation overhead in massive multi-input multi-output (m-MIMO) systems. However, existing channel prediction ...

Abstract: The generation of power semiconductor devices defines a generation of power electronic converters. The efficiency and switching speed of power devices continue to improve, leading to higher ...

Abstract: The rapid advancement of large models has led to the development of increasingly sophisticated models capable of generating diverse, personalized, and high-quality content. Among these, ...

Abstract: As an essential component of intelligent robots, wearable devices and so on, three-dimensional (3D) force sensors have seen continuous advancements. However, most existing 3D force sensors ...

Abstract: The fault characteristics of inverter-based resources (IBRs) are different from conventional synchronous generators. The fault response of IBRs is non-linear due to saturation states and ...

Abstract: To solve the profit allocation problem among multiagent energy systems (MAESs), this study proposes a cooperative operation strategy for the MAES integrated with wind, hydrogen, and ...

Abstract: WiFi has been widely used for local area networking of devices and Internet access in the past two decades. Many researchers exploit WiFi signals for target sensing through analyzing the ...

Abstract: DeepSeek, a Chinese artificial intelligence (AI) startup, has released their V3 and R1 series models, which attracted global attention due to their low cost, high performance, and ...

Abstract: In this paper, we present a spectral optimal control framework for Fokker–Planck equations based on the standard ground state transformation that maps the Fokker–Planck operator to a ...

Abstract: Direct RF sampling relieves the analog front-end design and delivers high system flexibility. In $\gt10 \mathrm{GS} / \mathrm{s}\gt10 \mathrm{~b}$ ADCs, time-interleaving (TI) is inescapable ...