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Showing 58982 results for "models" 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 · 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 i…

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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 · 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 …

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Engineering Preprint PDF DOI

Distributed adaptive estimation for stochastic large regression models

Die Gan, Siyu Xie, Zhixin Liu, Xuebo Zhang · 2026

This paper studies the distributed adaptiveestimation problems for stochastic large regression modelswith an infinite number of parameters. By constructing a re-cursive local cost function, we propose…

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Engineering Preprint PDF DOI

Polarization-diverse Detection at Microwave Frequencies Using A Passive Metasurface Aperture

Md. Abrar A Mushfik, Mohammad Ali Kaisar, Mohiminul Islam Bhuiyan Sahed, Idban Alamzadeh · 2026

Metasurfaces' ability to control electromagnetic wave propagation has led to a rapid paradigm shift in wireless operation. These metasurfaces are often called reconfigurable intelligent surfaces (RISs…

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Engineering Preprint PDF DOI

Robust Graph Matching through Semantic Relationship Generation for SLAM

David Perez-Saura, Jose Andres Millan-Romera, Miguel Fernandez-Cortizas, Holger Voos, Pascual Campoy, Jose Luis Sanchez-Lopez · 2026

Graph-based representations such as Scene Graphs enable localization in structured indoor environments by matching a locally observed graph, constructed from sensor data, to a prior map. This process …

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Engineering Preprint PDF DOI

ProDrive: Proactive Planning for Autonomous Driving via Ego-Environment Co-Evolution

Chuyao Fu, Shengzhe Gan, Zhuoli Ouyang, Yuhan Rui, Xiaowei Chi, Sirui Han, Jiankun Wang, Hong Zhang · 2026

End-to-end autonomous driving planners typically generate trajectories from current observations alone. However, real-world driving is highly dynamic, and such reactive planning cannot anticipate futu…

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Engineering Preprint PDF DOI

Dual-Polarized Massive MIMO Based on Precoding for Vehicle-To-Ground Communication in Urban Rail Transit

Zhengyuan Wu, Junhui Zhao, Qingmiao Zhang, Ming Zhang · 2026

The development of intelligent and diversified ser vices in urban rail transit (URT) has resulted in an increasing de mand for high-rate communication between vehicles and ground equipment. However, e…

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Engineering Preprint PDF DOI

Enabling High Error Tolerance in Satellite Video Transmissions by Generative Semantic Communication

Zixin Zhao, Jingzhi Hu, Geoffrey Ye Li · 2026

Low Earth orbit (LEO) satellite relays will significantly extend the coverage of mobile networks, enabling users in remote areas to transmit data of real-time events. Nevertheless, the limited power o…

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Engineering Preprint PDF DOI

Rethinking Wireless Communications through Formal Mathematical AI Reasoning

Changyuan Zhao, Jiacheng Wang, Dusit Niyato, Zan Li, Abbas Jamalipour, Shiwen Mao, Xianbin Wang, Dong In Kim · 2026

Mathematical analysis has long underpinned wireless communication theory, yet the growing complexity of next-generation systems demands increasingly sophisticated reasoning from domain experts. Recent…

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Engineering Preprint PDF DOI

HANDFUL: Sequential Grasp-Conditioned Dexterous Manipulation with Resource Awareness

Ethan Foong, Yunshuang Li, Hao Jiang, Gaurav S. Sukhatme, Daniel Seita · 2026

Dexterous robot hands offer rich opportunities for multifunctional manipulation, where a robot must execute multiple skills in sequence while maintaining control over previously grasped objects. Most …

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Engineering Preprint PDF DOI

Weak-Fluctuation-Induced Clutter Covariance and Subspace Structure in Single-Snapshot FDA-MIMO GPR

Yisu Yan, Jifeng Guo · 2026

Weak constitutive fluctuations in dispersive subsurface media can induce distributed clutter that reshapes the observation structure of ground-penetrating radar (GPR). This paper analyzes this effect …

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Engineering Preprint PDF DOI

EVT-Based Generative AI for Tail-Aware Channel Estimation

Parmida Valiahdi, Niloofar Mehrnia, Walid Saad, Sinem Coleri · 2026

Ultra-reliable and low-latency communication (URLLC) will play a key role in fifth-generation (5G) and beyond networks, enabling mission-critical applications. Meeting the stringent URLLC requirements…

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Engineering Preprint PDF DOI

Energy Efficiency Maximization for Discrete Activation based NOMA-assisted Pinching-Antenna Systems

Yishi Zhang, Aditya Powari, Kaidi Wang, Yaru Fu, Daniel K. C. So · 2026

Pinching-antenna systems (PASS) have recently attracted significant attention as a promising architecture for flexible and reconfigurable wireless communications. Despite notable advancements, researc…

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Engineering Preprint PDF DOI

Libra-VLA: Achieving Learning Equilibrium via Asynchronous Coarse-to-Fine Dual-System

Yifei Wei, Linqing Zhong, Yi Liu, Yuxiang Lu, Xindong He, Maoqing Yao, Guanghui Ren · 2026

Vision-Language-Action (VLA) models are a promising paradigm for generalist robotic manipulation by grounding high-level semantic instructions into executable physical actions. However, prevailing app…

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Engineering Preprint PDF DOI

asRoBallet: Closing the Sim2Real Gap via Friction-Aware Reinforcement Learning for Underactuated Spherical Dynamics

Fang Wan, Guangyi Huang, Tianyu Wu, Zishang Zhang, Bangchao Huang, Haoran Sun, Mingdong Chen, Chaoyang Song · 2026

We introduce asRoBallet, to the best of our knowledge, the first successful deployment of reinforcement learning (RL) on a humanoid ballbot hardware. Historically, ballbots have served as a canonical …

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Engineering Preprint PDF DOI

A Quantitative Framework for Navigating Controller Design Tradeoffs under Computational Constraints

Chris Verhoek, Nikolai Matni · 2026

Computational constraints permeate the controller design process, and yet are rarely treated as explicit design constraints. Towards addressing this gap, we propose a quantitative framework that captu…

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Engineering Preprint PDF DOI

MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitives

Tingwu Wang, Olivier Dionne, Michael De Ruyter, David Minor, Davis Rempe, Kaifeng Zhao, Mathis Petrovich, Ye Yuan, Chenran Li, Zhengyi Luo, Brian Robison, Xavier Blackwell, Bernardo Antoniazzi, Xue Bin Peng, Yuke Zhu, Simon Yuen · 2026

Despite transformative advances in generative motion synthesis, real-time interactive motion control remains dominated by traditional techniques. In this work, we identify two key challenges in bridgi…

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Engineering Preprint PDF DOI

VEHRON: A Configuration-Driven BEV Simulation Framework for Subsystem-Level Studies

Subramanyam Natarajan · 2026

In practical early-stage battery-electric vehicle studies, analysis workflows may become fragmented across spreadsheets, notebooks, and project-specific scripts, making reuse, audit, and extension har…

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Engineering Preprint PDF DOI

Data-Driven Privacy-Preserving Modeling and Frequency Regulation with Aggregated Electric Vehicles via Bilinear Hidden Markov Model

Yiping Liu, Xiaozhe Wang, Geza Joos · 2026

Vehicle-to-Grid (V2G) technology allows bidirectional power flow for real-time grid support, making electric vehicles (EVs) well-suited for ancillary services such as frequency regulation. However, ex…

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Engineering Preprint PDF DOI

Exploiting Differential Flatness for Efficient Learning-based Model Predictive Control of Constrained Multi-Input Control Affine Systems

Tobias A. Farger, Adam W. Hall, Angela P. Schoellig · 2026

Learning-based control techniques use data from past trajectories to control systems with uncertain dynamics. However, learning-based controllers are often computationally inefficient, limiting their …

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