Expertini Research Research

Browse Research Papers

353+ open-access research outputs.

โœ• Clear
๐Ÿ” yves moreau ๐Ÿ“‚ Engineering
Showing 353 results for "yves moreau" in Engineering
Engineering Preprint PDF DOI

Empirical Material Sampling and Linearisation -- A Simple and Efficient Strain-Space Model Order Reduction Approach for Computational Homogenisation in Large-Deformation Hyperelasticity

Erik Faust, Lisa Scheunemann ยท 2026

In this article, we propose a simple and efficient hyperreduced strain-space model order reduction (MOR) approach for hyperelastic representative volume elements (RVEs), called Empirical Material Sampโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

An Explainable Approach to Document-level Translation Evaluation with Topic Modeling

Hyeokmin Lee, Youngkyu Kim, Byounghyun Yoo ยท 2026

The advent of NMT has expanded the scope of translation beyond isolated sentences, enabling context to be preserved across paragraphs and documents. However, current evaluation metrics largely remain โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Towards Multi-Object-Tracking with Radar on a Fast Moving Vehicle: On the Potential of Processing Radar in the Frequency Domain

Tim Hansen, Arturo Gomez-Chavez, Ilya Shimchik, Andreas Birk ยท 2026

We promote in this paper the processing of radar data in the frequency domain to achieve higher robustness against noise and structural errors, especially in comparison to feature-based methods. This โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

3DRO: Lidar-level SE(3) Direct Radar Odometry Using a 2D Imaging Radar and a Gyroscope

Cedric Le Gentil, Daniil Lisus, Timothy D. Barfoot ยท 2026

Recently, the robotics community has regained interest in radar-based perception and state estimation. A 2D imaging radar provides dense 360deg information about the environment. Despite the radar antโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

PS-TTS: Phonetic Synchronization in Text-to-Speech for Achieving Natural Automated Dubbing

Changi Hong, Yoonah Song, Hwayoung Park, Chaewoon Bang, Dayeon Gu, Do Hyun Lee, Hong Kook Kim ยท 2026

Recently, artificial intelligence-based dubbing technology has advanced, enabling automated dubbing (AD) to convert the source speech of a video into target speech in different languages. However, natโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Dynamic resource coordination can increase grid hosting capacity to support more renewables, storage, and electrified load growth

Vineet Jagadeesan Nair, Morteza Vahid-Ghavidel, Anuradha M. Annaswamy ยท 2026

We show that dynamic coordination of distributed energy resources (DERs) can increase the capacity of low- and medium-voltage grids, improve reliability and power quality, and reduce solar curtailmentโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

T5Gemma-TTS Technical Report

Chihiro Arata, Kiyoshi Kurihara ยท 2026

Autoregressive neural codec language models have shown strong zero-shot voice cloning ability, but decoder-only architectures treat input text as a prefix that competes with the growing audio sequenceโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Simulating Realistic LiDAR Data Under Adverse Weather for Autonomous Vehicles: A Physics-Informed Learning Approach

Vivek Anand, Bharat Lohani, Rakesh Mishra, Gaurav Pandey ยท 2026

Accurate LiDAR simulation is crucial for autonomous driving, especially under adverse weather conditions. Existing methods struggle to capture the complex interactions between LiDAR signals and atmospโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

How Short Is Too Short? Power Analysis for BIC-Based Changepoint Detection in Ecological Monitorin

Ang A. Li ยท 2026

Changepoint detection is increasingly applied to ecological time series, yet statistical power at the short series lengths typical of monitoring (10-50 observations) is rarely assessed. We present a sโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Preserving Vertical Structure in 3D-to-2D Projection for Permafrost Thaw Mapping

Justin McMillen, Robert Van Alphen, Taha Sadeghi Chorsi, Jason Shabaga, Mel Rodgers, Rocco Malservisi, Timothy Dixon, Yasin Yilmaz ยท 2026

Forecasting permafrost thaw from aerial lidar requires projecting 3D point cloud features onto 2D prediction grids, yet naive aggregation methods destroy the vertical structure critical in forest enviโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Two-Stage Heterogeneous Graph Neural Network for RIS-Aided Physical-Layer Security

Zihan Song, Yang Lu, Wei Chen, Bo Ai, Zhiguo Ding, Arumugam Nallanathan ยท 2026

This paper investigates physical-layer security (PLS) enabled by graph neural networks (GNNs). We propose a two-stage heterogeneous GNN (HGNN) to maximize the secrecy energy efficiency (SEE) of a recoโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Emergency Locator Transmitters in the Era of More Electric Aircraft: A Comprehensive Review of Energy, Integration and Safety Challenges

Juana M. Martinez-Heredia, Adrian Portos, Marcel Stepanek, Francisco Colodro ยท 2026

The progressive electrification of aircraft systems under the more electric aircraft (MEA) paradigm is reshaping the design and qualification constraints of safety-critical avionics. Emergency locatorโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

FoMo: A Multi-Season Dataset for Robot Navigation in For\^et Montmorency

Matej Boxan, Gabriel Jeanson, Alexander Krawciw, Effie Daum, Xinyuan Qiao, Sven Lilge, Timothy D. Barfoot, Francois Pomerleau ยท 2026

The For\^et Montmorency (FoMo) dataset is a comprehensive multi-season data collection, recorded over the span of one year in a boreal forest. Featuring a unique combination of on- and off-pavement enโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Less is More: Robust Zero-Communication 3D Pursuit-Evasion via Representational Parsimony

Jialin Ying, Zhihao Li, Zicheng Dong, Guohua Wu, Yihuan Liao ยท 2026

Asymmetric 3D pursuit-evasion in cluttered voxel environments is difficult under communication latency, partial observability, and nonholonomic maneuver limits. While many MARL methods rely on richer โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

CFEAR-Teach-and-Repeat: Fast and Accurate Radar-only Localization

Maximilian Hilger, Daniel Adolfsson, Ralf Becker, Henrik Andreasson, Achim J. Lilienthal ยท 2026

Reliable localization in prior maps is essential for autonomous navigation, particularly under adverse weather, where optical sensors may fail. We present CFEAR-TR, a teach-and-repeat localization pipโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Act-Observe-Rewrite: Multimodal Coding Agents as In-Context Policy Learners for Robot Manipulation

Vaishak Kumar ยท 2026

Can a multimodal language model learn to manipulate physical objects by reasoning about its own failures-without gradient updates, demonstrations, or reward engineering? We argue the answer is yes, unโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Enhancing AAV-Enabled Secure Communications via Synthetic Aperture Beamforming

Bin Qiu, Wenchi Cheng, Hongxiang He, Jiangzhou Wang ยท 2026

In this paper, we consider a synthetic aperture secure beamforming approach for a virtual multiple-input multiple output (MIMO) broadcast channel in the presence of hybrid wiretapping environments. Ouโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

SaferPath: Hierarchical Visual Navigation with Learned Guidance and Safety-Constrained Control

Lingjie Zhang, Zeyu Jiang, Changhao Chen ยท 2026

Visual navigation is a core capability for mobile robots, yet end-to-end learning-based methods often struggle with generalization and safety in unseen, cluttered, or narrow environments. These limitaโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Dual Security for MIMO-OFDM ISAC Systems: Artificial Ghosts or Artificial Noise

Yinchao Yang, Prabhat Raj Gautam, Yathreb Bouazizi, Michael Breza, Julie McCann ยท 2026

Integrated sensing and communication (ISAC) enables the efficient sharing of wireless resources to support emerging applications, but it also gives rise to new sensing-based security vulnerabilities. โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Boreas Road Trip: A Multi-Sensor Autonomous Driving Dataset on Challenging Roads

Daniil Lisus, Katya M. Papais, Cedric Le Gentil, Elliot Preston-Krebs, Andrew Lambert, Keith Y.K. Leung, Timothy D. Barfoot ยท 2026

The Boreas Road Trip (Boreas-RT) dataset extends the multi-season Boreas dataset to new and diverse locations that pose challenges for modern autonomous driving algorithms. Boreas-RT comprises 60 sequโ€ฆ

Read Paper โ†’
Page 1 of 18 Next โ†’