Abstract: With the widespread application of permanent magnet synchronous motors (PMSMs) in modern industry, transportation, and aerospace, ensuring operational stability and reliable fault detection ...
The path planning capability of autonomous robots in complex environments is crucial for their widespread application in the real world. However, long-term decision-making and sparse reward signals ...
Abstract: UniT is an approach to tactile representation learning, using VQGAN to learn a compact latent space and serve as the tactile representation. It uses tactile images obtained from a single ...
Probabilistic reasoning is central to many theories of human cognition, yet its foundations are often presented through abstract mathematical formalisms disconnected from the logic of belief and ...
The rapid adoption of large language models like BERT and GPT has brought not only groundbreaking advances in natural language understanding, but also serious concerns about the social biases encoded ...
The study applies a Kalman filter (KF) to Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to create a hybrid model, to estimate the parameters of the GARCH model in the ...
A new technical paper titled “Hardware-Centric Analysis of DeepSeek’s Multi-Head Latent Attention” was published by researchers at KU Leuven. “Multi-Head Latent Attention (MLA), introduced in DeepSeek ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results