arXiv:2506.10773v2 Announce Type: replace-cross Abstract: This study investigates how dynamical systems may be learned and modelled with a neuromorphic network which is itself a dynamical system. The neuromorphic network used in this study is based on a complex electrical circuit…
arXiv:2509.11336v1 Announce Type: new Abstract: This paper introduces a novel framework for optimizing observer-based soft sensors through dynamic causality analysis. Traditional approaches to sensor selection often rely on linearized observability indices or statistical correlations that fail to capture the temporal…
arXiv:2508.05210v2 Announce Type: replace-cross Abstract: Accurate prediction of the Rate of Penetration (ROP) is pivotal for drilling optimization, yet it remains a persistent challenge due to the nonlinear, dynamic, and heterogeneous nature of drilling data. This study introduces a novel…
arXiv:2509.11361v1 Announce Type: new Abstract: Prompt engineering is crucial for leveraging large language models (LLMs), but existing methods often rely on a single optimization trajectory, limiting adaptability and efficiency while suffering from narrow perspectives, gradient conflicts, and high computational cost.…
arXiv:2509.00575v3 Announce Type: replace-cross Abstract: Auditability is defined as the capacity of AI systems to be independently assessed for compliance with ethical, legal, and technical standards throughout their lifecycle. The chapter explores how auditability is being formalized through emerging regulatory…
arXiv:2509.11431v1 Announce Type: new Abstract: The emergence of Large Language Models (LLMs) has significantly advanced solutions across various domains, from political science to software development. However, these models are constrained by their training data, which is static and limited to…
Based on mini “lab-quakes” in a controlled setting, the findings could help researchers assess the vulnerability of quake-prone regions.
arXiv:2509.11624v1 Announce Type: cross Abstract: We propose a novel 3D deepfake generation framework based on 3D Gaussian Splatting that enables realistic, identity-preserving face swapping and reenactment in a fully controllable 3D space. Compared to conventional 2D deepfake approaches that suffer…
arXiv:2509.11146v1 Announce Type: cross Abstract: Magnitude, obtained as a special case of Euler characteristic of enriched category, represents a sense of the size of metric spaces and is related to classical notions such as cardinality, dimension, and volume. While the…
arXiv:2509.11435v1 Announce Type: cross Abstract: The Wasserstein barycenter extends the Euclidean mean to the space of probability measures by minimizing the weighted sum of squared 2-Wasserstein distances. We develop a free-support algorithm for computing Wasserstein barycenters that avoids entropic regularization…
