PhysGS is proposed to embed Bayesian inference into the 3D Gaussian Splatting pipeline, utilizing Vision-Language Model (VLM) priors and multi-view confidence-weighted updates to achieve point-wise ...
description The paper proposes DeepEISNN, a normalization-free learning framework based on cortical excitatory-inhibitory (E-I) circuits. By implementing E-I Init and E-I Prop, it achieves stable ...
Learn how laser, eddy and other displacement sensors work and how they plug into IIoT PdM systems. They’re game changers on the shop floor. In a steel mill in 2025, a hidden spindle shaft misalignment ...
Abstract: Much environmental and socioeconomic time-series data can be adequately modeled using autoregressive integrated moving average (ARIMA) models. We call such time series "ARIMA time series".
Abstract: Heart sound is one of the oldest means for assessing the function of heart valves. It helps, together with echocardiograms and electrocardiographs, to give a clear and proper diagnosis of ...
Angiogenesis, the formation of new blood vessels, is a fundamental biological process with implications for both physiological functions and pathological conditions. While the transcriptional ...
Computational methods in protein engineering often require encoding amino acid sequences, i.e., converting them into numeric arrays. Physicochemical properties are a typical choice to define encoders, ...
In many scientific fields including neuroscience, climatology or physics, complex relationships can be described most parsimoniously by non-linear mechanics. Despite their relevance, many ...