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๐Ÿ” p. agre ๐Ÿ“‚ Engineering
Showing 1953 results for "p. agre" in Engineering
Engineering Preprint PDF DOI

Optimizing Dynamic Metasurface Antenna Configurations for Direction-of-Arrival and Polarization Estimation Using an Experimentally Calibrated Multiport-Network Model

Jean Tapie, Philipp del Hougne ยท 2026

Sensing the direction of arrival and polarization of impinging signals is a key prerequisite for beamforming and interference mitigation in modern wireless communication systems. Dynamic metasurface aโ€ฆ

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Engineering Preprint PDF DOI

A Matrix-Free Galerkin Multigrid Solver and Failure-Mode Screen for Single-GPU 3D SIMP Linear Systems

Shaoliang Yang, Jun Wang, Yunsheng Wang ยท 2026

Large 3D SIMP studies require repeated elasticity solves for density-dependent operators whose finest matrices are expensive to assemble and whose conditioning degrades under high contrast. We study tโ€ฆ

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Engineering Preprint PDF DOI

Split over $n$ resource sharing problem: Are fewer capable agents better than many simpler ones?

Karthik Soma, Mohamed S. Talamali, Genki Miyauchi, Giovanni Beltrame, Heiko Hamann, Roderich Gross ยท 2026

In multi-agent systems, should limited resources be concentrated into a few capable agents or distributed among many simpler ones? This work formulates the split over $n$ resource sharing problem wherโ€ฆ

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Engineering Preprint PDF DOI

Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models

Chun-Yi Kuan, Wei-Ping Huang, Hung-yi Lee ยท 2026

Recent audio-aware large language models (ALLMs) have demonstrated strong capabilities across diverse audio understanding and reasoning tasks, but they still frequently produce hallucinated or overly โ€ฆ

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Engineering Preprint PDF DOI

DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors

Pengcheng Wang, Kaiwen Hong, Chensheng Peng, Katherine Driggs-Campbell, Masayoshi Tomizuka, Chenfeng Xu, Chen Tang ยท 2026

Unlike chatbots, physical AI must act while the world keeps evolving. Therefore, the inter-chunk pause of synchronous executors are fatal for dynamic tasks regardless of how fast the inference is. Asyโ€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

Useful nonrobust features are ubiquitous in biomedical images

Coenraad Mouton, Randle Rabe, Niklas C. Koser, Nicolai Krekiehn, Christopher Hansen, Jan-Bernd Hovener, Claus-C. Gluer ยท 2026

We study whether deep networks for medical imaging learn useful nonrobust features - predictive input patterns that are not human interpretable and highly susceptible to small adversarial perturbationโ€ฆ

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Engineering Preprint PDF DOI

Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction?

Anam Hashmi, Mayug Maniparambil, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor ยท 2026

The emergence of large-scale pretrained foundation models has transformed computer vision, enabling strong performance across diverse downstream tasks. However, their potential for physics-based inverโ€ฆ

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Engineering Preprint PDF DOI

Monolithically Integrated VO$_2$ Mott Oscillators for Energy-Efficient Spiking Neurons

Fabio Bersano, Cyrille Masserey, Vanessa Conti, Andrea Iaconeta, Niccolo' Martinolli, Ehsan Ansari, Anna Varini, Igor Stolichnov, Adrian Mihai Ionescu ยท 2026

Brain-inspired non-Boolean computing offers intrinsic error tolerance and parallelism, but its practical deployment is limited by the lack of compact, energy-efficient spiking hardware compatible withโ€ฆ

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Engineering Preprint PDF DOI

Benefits of Low-Cost Bio-Inspiration in the Age of Overparametrization

Kevin Godin-Dubois, Anil Yaman, Anna V. Kononova ยท 2026

While Central Pattern Generators (CPGs) and Multi-Layer Perceptrons (MLP) are widely used paradigms in robot control, few systematic studies have been performed on the relative merits of large parametโ€ฆ

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Engineering Preprint PDF DOI

Toward Safe Autonomous Robotic Endovascular Interventions using World Models

Harry Robertshaw, Nikola Fischer, Han-Ru Wu, Andrea Walker Perez, Weiyuan Deng, Benjamin Jackson, Christos Bergeles, Alejandro Granados, Thomas C Booth ยท 2026

Autonomous mechanical thrombectomy (MT) presents substantial challenges due to highly variable vascular geometries and the requirements for accurate, real-time control. While reinforcement learning (Rโ€ฆ

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Engineering Preprint PDF DOI

Safety-Critical Contextual Control via Online Riemannian Optimization with World Models

Tongxin Li ยท 2026

Modern world models are becoming too complex to admit explicit dynamical descriptions. We study safety-critical contextual control, where a Planner must optimize a task objective using only feasibilitโ€ฆ

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Engineering Preprint PDF DOI

Maritime Connectivity Vulnerability Index: Construction, Patterns, and Validation Across 185 Economies, 2006-2025

Mohamed Bouka, Moulaye Abdel Kader Moulaye Ismail ยท 2026

Recent disruptions at major maritime chokepoints have exposed the structural fragility of liner shipping networks. Existing indicators measure connectivity, but none quantify its structural vulnerabilโ€ฆ

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Engineering Preprint PDF DOI

RIS-Assisted Cell-Free Massive MIMO: RIS-MS Selection in FR1 and FR3

Alejandro de la Fuente, Fernando Galindo, Uriel Garcia-Barbulo, Sandra-Noemy Arana-Alegre, Jan Garcia-Morales ยท 2026

This paper explores the integration of reconfigurable intelligent surfaces (RISs) into cell-free massive multiple-input-multiple-output (CF-mMIMO) networks operating in FR1 and FR3 frequency bands. Weโ€ฆ

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Engineering Preprint PDF DOI

Bilinear Input Modulation for Mamba: Koopman Bilinear Forms for Memory Retention and Multiplicative Computation

Hiroki Fujii, Masaki Yamakita ยท 2026

Selective State Space Models (SSMs), notably Mamba, employ diagonal state transitions that limit both memory retention and bilinear computational capacity. We propose a factorized bilinear input modulโ€ฆ

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Engineering Preprint PDF DOI

A Two-Stage Multi-Modal MRI Framework for Lifespan Brain Age Prediction

Dingyi Zhang, Ruiying Liu, Yun Wang ยท 2026

The accurate quantification of brain age from MRI has emerged as an important biomarker of brain health. However, existing approaches are often restricted to narrow age ranges and single-modality MRI โ€ฆ

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Engineering Preprint PDF DOI

A Practical Guide to PID Controller Implementation

E. Sundstrom, M. Bauer, J. L. Guzman, T. Hagglund, K. Soltesz ยท 2026

How difficult can it be to implement a PID controller? The answer is twofold. Implementing the PID control law is simple and computationally inexpensive. However, this basic form will not work in pracโ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Probabilistic Finite $\mathcal{L}_2$-Gain Stabilization of Stochastic Linear Systems

Yitao Yan, Shuangyu Han, Jie Bao, Biao Huang ยท 2026

In process operations, it is desirable to manage the sensitivity of the system output against external disturbance in the form of finite $\mathcal{L}_2$-gain stabilization. This matter is, however, noโ€ฆ

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Engineering Preprint PDF DOI

mosaiks are made of tesserae: GUI design for a co-simulation framework

Eike Schulte, Jan Soren Schwarz, Malte Stomberg, Sharaf Alsharif, Danila Valko, Jirapa Kamsamsong ยท 2026

In a mosaic, a tessera is a single stone. We introduce tesserae for the co-simulation framework mosaik, where they are sets of entities. They allow for a visual, intuitive, and yet systematic descriptโ€ฆ

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Engineering Preprint PDF DOI

Probabilistic Feature Imputation and Uncertainty-Aware Multimodal Federated Aggregation

Nafis Fuad Shahid, Maroof Ahmed, Md Akib Haider, Saidur Rahman Sagor, Aashnan Rahman, Md Azam Hossain ยท 2026

Multimodal federated learning enables privacy-preserving collaborative model training across healthcare institutions. However, a fundamental challenge arises from modality heterogeneity: many clinicalโ€ฆ

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