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๐Ÿ” j. g. caputo ๐Ÿ“‚ Engineering
Showing 936 results for "j. g. caputo" in Engineering
Engineering Preprint PDF DOI

The role of physical models in the validation and calibration of numerical models -- The example of the Lilleb{\ae}lt Bridge

Paula Apollonia Wunderlich, Gledson Rodrigo Tondo, Guido Morgenthal ยท 2026

With the rapid advancement of computer technologies enabling fast calculations of complex structures, numerical methods have become a central tool in engineering sciences, while physical models have iโ€ฆ

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Engineering Preprint PDF DOI

Generalizable Friction Coefficient Estimation via Material Embedding and Proxy Interaction Modeling

Zhendong Wang, Huamin Wang ยท 2026

Accurately estimating friction coefficients between arbitrary material pairs is critical for robotics, digital fabrication, and physics-based simulation, but exhaustive pairwise testing scales quadratโ€ฆ

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Engineering Preprint PDF DOI

Defining the Magnetization State of LCF Magnets: From Material Properties to Motor-Level Metrics

Taha El Hajji, Aleksandr Nadkin, Stefan Skoog, Lars Sjoberg, Kristoffer Nilsson, Anthony C. Morcos ยท 2026

Variable flux memory motors, which employ Low Coercive Force (LCF) magnets, achieve extended high-efficiency operation through controllable magnetization states. To address the need for a unified apprโ€ฆ

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Engineering Preprint PDF DOI

Scaling of Gaussian Kolmogorov--Arnold Networks

Amir Noorizadegan, Sifan Wang ยท 2026

The Gaussian scale parameter \(\epsilon\) is central to the behavior of Gaussian Kolmogorov--Arnold Networks (KANs), yet its role in deep edge-based architectures has not been studied systematically. โ€ฆ

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Engineering Preprint PDF DOI

Sample entropy for graph signals: An approach to nonlinear analysis of graph signals

Mei-San Maggie Lei, John Stewart Fabila Carrasco, Javier Escudero ยท 2026

We introduce a graph-signal generalisation of Sample Entropy, denoted SampEn$_{G}$, to quantify irregularity of graph signals on a continuous state space, complementing existing methods on symbolic dyโ€ฆ

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Engineering Preprint PDF DOI

Algebraic Diversity: Principles of a Group-Theoretic Approach to Signal Processing

Mitchell A. Thornton ยท 2026

We present principles of algebraic diversity (AD), a group-theoretic approach to signal processing exploiting signal symmetry to extract more information per observation, complementing classical methoโ€ฆ

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Engineering Preprint PDF DOI

HALO: Hybrid Auto-encoded Locomotion with Learned Latent Dynamics, Poincar\'e Maps, and Regions of Attraction

Blake Werner, Sergio A. Esteban, Massimiliano De Sa, Max H. Cohen, Aaron D. Ames ยท 2026

Reduced-order models are powerful for analyzing and controlling high-dimensional dynamical systems. Yet constructing these models for complex hybrid systems such as legged robots remains challenging. โ€ฆ

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Engineering Preprint PDF DOI

Muscle-inspired magnetic actuators that push, pull, crawl, and grasp

Muhammad Bilal Khan, Florian Hofmann, Kilian Schafer, Matthias Lutzi, Oliver Gutfleisch ยท 2026

Functional magnetic composites capable of large deformation, load bearing, and multifunctional motion are essential for next-generation adaptive soft robots. Here, we present muscle-inspired magnetic โ€ฆ

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Engineering Preprint PDF DOI

A Reconfigurable Pneumatic Joint Enabling Localized Selective Stiffening and Shape Locking in Vine-Inspired Robots

Ayodele James Oyejide, Ustaz A. Yaqub, Samir Erturk, Eray A. Baran, Fabio Stroppa ยท 2026

Vine-inspired robots achieve large workspace coverage through tip eversion, enabling safe navigation in confined and cluttered environments. However, their deployment in free space is fundamentally liโ€ฆ

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Engineering Preprint PDF DOI

Learning ultra-compressible hyperelasticity with splines: Constitutive asymmetries and non-unique representations

Miguel Angel Moreno-Mateos, Simon Wiesheier, Paul Steinmann, Ellen Kuhl ยท 2026

Highly compressible solids, such as foams, exhibit complex responses, including pronounced tension-compression asymmetry. Capturing such behaviors within unified hyperelastic frameworks remains challeโ€ฆ

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Engineering Preprint PDF DOI

A Case Study on Energy-Efficient Edge AI Crack Segmentation

Matthias Tschope, Mohamed Moursi, Vladimir Rybalkin, Bo Zhou, Norbert Wehn, Paul Lukowicz ยท 2026

Crack segmentation on edge devices can support continuous infrastructure monitoring and maintenance and thereby help to preserve public safety. Furthermore, autonomous infrastructure monitoring by usiโ€ฆ

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Engineering Preprint PDF DOI

Stable Long-Horizon Neural ODE Reduced-Order Models via Learned Feedback for Biological Growth and Remodeling

Joel Laudo, Adrian Buganza Tepole ยท 2026

Reduced-order models (ROMs) are essential for rapid simulation of complex biomechanical systems and for bridging the gap between high fidelity models and clinical application. However, ROMs for tissueโ€ฆ

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Engineering Preprint PDF DOI

Robotic Manipulation is Vision-to-Geometry Mapping ($f(v) \rightarrow G$): Vision-Geometry Backbones over Language and Video Models

Zijian Song, Qichang Li, Jiawei Zhou, Zhenlong Yuan, Tianshui Chen, Liang Lin, Guangrun Wang ยท 2026

At its core, robotic manipulation is a problem of vision-to-geometry mapping ($f(v) \rightarrow G$). Physical actions are fundamentally defined by geometric properties like 3D positions and spatial reโ€ฆ

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Engineering Preprint PDF DOI

An AI-Ready Pipeline for Impedance-Resolved QCM Biosensor: Interpretable Line-Shape Features, Redundancy Control, and Robust Regression

Ceyhun Kirimli, Elcim Elgun, Yagmur Tugtag ยท 2026

Accurate inference from quartz crystal microbalance (QCM) measurements in liquids is often limited by reducing resonance behavior to two scalar endpoints (frequency and dissipation shifts, $\Delta f$ โ€ฆ

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Engineering Preprint PDF DOI

Responsive Distribution of G-normal Random Variables

Ziting Pei, Shige Peng, Xingye Yue, Xiaotao Zheng ยท 2026

A $G$-normal random variable $X\sim \mathcal{N}(0,[\underline{\sigma}^2,\overline{\sigma}^2])$ does not admit a unique probability law due to volatility uncertainty. For a given test function $\phi$, โ€ฆ

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Engineering Preprint PDF DOI

G-AMC: A Green Automatic Modulation Classification Method

Chee-An Yu, Young-Kai Chen, C.-C. Jay Kuo ยท 2026

In this work, we propose an efficient and transparent green learning pipeline to address the automatic modulation classification (AMC) problem. This pipeline aims to enable receivers to blindly identiโ€ฆ

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Engineering Preprint PDF DOI

G-EDF-Loc: 3D Continuous Gaussian Distance Field for Robust Gradient-Based 6DoF Localization

Jose E. Maese, Lucia Coto-Elena, Luis Merino, Fernando Caballero ยท 2026

This paper presents a robust 6-DoF localization framework based on a direct, CPU-based scan-to-map registration pipeline. The system leverages G-EDF, a novel continuous and memory-efficient 3D distancโ€ฆ

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Engineering Preprint PDF DOI

MC-GenRef: Annotation-free mammography microcalcification segmentation with generative posterior refinement

Hyunwoo Cho, Yeeun Kwon, Min Jung Kim, Yangmo Yoo ยท 2026

Microcalcification (MC) analysis is clinically important in screening mammography because clustered puncta can be an early sign of malignancy, yet dense MC segmentation remains challenging: targets arโ€ฆ

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Engineering Preprint PDF DOI

A soft and lightweight fabric-based pneumatic interface for multimodal fingertip tactile feedback

Rui Chen, Daniele Leonardis, Antonio Frisoli ยท 2026

Wearable fingertip haptic devices are critical for realistic interaction in virtual reality, augmented reality, and teleoperation, yet existing approaches struggle to simultaneously achieve adequate tโ€ฆ

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Engineering Preprint PDF DOI

A wearable haptic device for edge and surface simulation

Rui Chen, Xianlong Mai, Alireza Sanaei, Domenico Chiaradia, Antonio Frisoli, Daniele Leonardis ยท 2026

Object manipulation is fundamental to virtual reality (VR) applications, yet conventional fingertip haptic devices fail to render certain tactile features relevant for immersive and precise interactioโ€ฆ

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