Abstract: The human-machine interface is a crucial component of exoskeleton design, and understanding how the human nervous system adapts to and learns to coordinate with wearable robotic systems is ...
Abstract: The interaction model is widely used to study the propagation patterns of cascading failures in power systems. However, most existing models rely on the Markovian assumption, which limits ...
Abstract: In complex maritime scenarios, multiple targets in the same radar beam often degrade the quality of inverse synthetic aperture radar (ISAR) imaging. Most existing methods typically leverage ...
Abstract: Interactive segmentation is to segment the mask of the target object according to the user’s interactive prompts. There are two mainstream strategies: early fusion and late fusion. Current ...
Abstract: With the rapid development of artificial intelligence, emotional companion human-machine interaction systems have become a research hotspot, but existing systems lack in-depth emotional ...
Abstract: This article presents a semi-analytical model for predicting cogging torque based on harmonic interaction principle within the air gap. It derives the airgap’s magnetic energy through ...
Abstract: Identifying a brain signal that enables the detection of incorrect execution in human-robot interaction (HRI) is considered a holy grail for real-time systems. A major challenge in achieving ...
Abstract: The technological advancements in modern therapeutic studies enable progressively more effective approaches to disease treatments. Despite the investigation for drug interactions remaining ...
Abstract: Recent research has begun adopting Large Language Model (LLM) agents to enhance Virtual Reality (VR) interactions, creating immersive chatbot experiences. However, while current studies ...
For the most sought-after founders, the prestige of a top-tier accelerator is increasingly weighed against giving up a significant ownership stake in their company. Partovi, who is known for his early ...
Abstract: In this paper, we explore a low area-time elliptic curve point multiplication (ECPM) hardware accelerator over Curve25519. Firstly, we analyze the correlation of the data hazards of LADDER ...
Abstract: Long-Term Time Series Forecasting plays a critical role in key domains such as electrical load prediction. Particularly, electrical time series data exhibit characteristics like ...
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