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๐Ÿ” ou wu ๐Ÿ“‚ Engineering
Showing 25 results for "ou wu" in Engineering
Engineering Preprint PDF DOI

Estimating PLL Phase Noise Parameters from Measurements for System-Level Modeling

Carl Collmann, Ahmad Nimr, Gerhard Fettweis ยท 2026

In current MIMO mobile communication systems, phase noise can significantly impair performance. To allow for compensation of these impairments, accurate phase noise modeling is necessary. Numerical moโ€ฆ

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Engineering Preprint PDF DOI

Deep learning water-unsuppressed MRSI at ultra-high field for simultaneous quantitative metabolic, susceptibility and myelin water imaging

Paul J. Weiser, Jiye Kim, Jongho Lee, Amirmohammad Shamaei, Gulnur Ungan, Malte Hoffmann, Antoine Klauser, Berkin Bilgic, Ovidiu C. Andronesi ยท 2025

Purpose: Magnetic Resonance Spectroscopic Imaging (MRSI) maps endogenous brain metabolism while suppressing the overwhelming water signal. Water-unsuppressed MRSI (wu-MRSI) allows simultaneous imagingโ€ฆ

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Engineering Preprint PDF DOI

A Deep Learning Approach to Renewable Capacity Installation under Jump Uncertainty

Nacira Agram, Fred Espen Benth, Giulia Pucci, Jan Rems ยท 2025

We study a stochastic model for the installation of renewable energy capacity under demand uncertainty and jump driven dynamics. The system is governed by a multidimensional Ornstein-Uhlenbeck (OU) prโ€ฆ

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Engineering Preprint PDF DOI

A hybrid framework integrating classical computers and quantum annealers for optimisation of truss structures

Van-Dung Nguyen, Erin Kuci, Michel Rasquin, Ludovic Noels ยท 2025

This work proposes a hybrid framework combining classical computers with quantum annealers for structural optimisation. At each optimisation iteration of an iterative process, two minimisation problemโ€ฆ

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Engineering Preprint PDF DOI

CRESSim-MPM: A Material Point Method Library for Surgical Soft Body Simulation with Cutting and Suturing

Yafei Ou, Mahdi Tavakoli ยท 2025

A number of recent studies have focused on developing surgical simulation platforms to train machine learning (ML) agents or models with synthetic data for surgical assistance. While existing platformโ€ฆ

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Engineering Preprint PDF DOI

ViewActive: Active viewpoint optimization from a single image

Jiayi Wu, Xiaomin Lin, Botao He, Cornelia Fermuller, Yiannis Aloimonos ยท 2024

When observing objects, humans benefit from their spatial visualization and mental rotation ability to envision potential optimal viewpoints based on the current observation. This capability is cruciaโ€ฆ

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Engineering Preprint PDF DOI

SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image

Yunhao Li, Xiaodong Wang, Ping Wang, Xin Yuan, Peidong Liu ยท 2024

In this paper, we explore the potential of Snapshot Compressive Imaging (SCI) technique for recovering the underlying 3D scene representation from a single temporal compressed image. SCI is a cost-effโ€ฆ

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Engineering Preprint PDF DOI

OUCopula: Bi-Channel Multi-Label Copula-Enhanced Adapter-Based CNN for Myopia Screening Based on OU-UWF Images

Yang Li, Qiuyi Huang, Chong Zhong, Danjuan Yang, Meiyan Li, A.H. Welsh, Aiyi Liu, Bo Fu, Catherien C. Liu, Xingtao Zhou ยท 2024

Myopia screening using cutting-edge ultra-widefield (UWF) fundus imaging is potentially significant for ophthalmic outcomes. Current multidisciplinary research between ophthalmology and deep learning โ€ฆ

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Engineering Preprint PDF DOI

A Model-Based Synthetic Stock Price Time Series Generation Framework

Haibei Zhu, Svitlana Vyetrenko, Tucker Balch ยท 2023

The Ornstein-Uhlenbeck (OU) process, a mean-reverting stochastic process, has been widely applied as a time series model in various domains. This paper describes the design and implementation of a modโ€ฆ

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Engineering Preprint PDF DOI

Improving Drone Imagery For Computer Vision/Machine Learning in Wilderness Search and Rescue

Robin Murphy, Thomas Manzini ยท 2023

This paper describes gaps in acquisition of drone imagery that impair the use with computer vision/machine learning (CV/ML) models and makes five recommendations to maximize image suitability for CV/Mโ€ฆ

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Engineering Preprint PDF DOI

D\'em\'elange, d\'econvolution et d\'ebruitage conjoints d'un mod\`ele convolutif parcimonieux avec d\'erive instrumentale, par p\'enalisation de rapports de normes ou quasi-normes liss\'ees (PENDANTSS)

Paul Zheng, Emilie Chouzenoux, Laurent Duval ยท 2023

Denoising, detrending, deconvolution: usual restoration tasks, traditionally decoupled. Coupled formulations entail complex ill-posed inverse problems. We propose PENDANTSS for joint trend removal andโ€ฆ

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Engineering Preprint PDF DOI

Sub-structure characteristic mode analysis of microstrip antennas using a global multi-trace formulation

Ran Zhao, Yuyu Lu, Guang Shang Cheng, Wei Zhu, Jun Hu, Hakan Bagci ยท 2022

A characteristic mode (CM) method that relies on a global multi-trace formulation (MTF) of surface integral equations is proposed to compute the modes and the resonance frequencies of microstrip patchโ€ฆ

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Engineering Preprint PDF DOI

A global sharing mechanism of resources: modeling a crucial step in the fight against pandemics

G.K. den Nijs, J. Edivaldo, B.D.L. Chatel, J.F. Uleman, M. Olde Rikkert, H. Wertheim, R. Quax ยท 2022

To face pandemics like the one caused by COVID-19, resources such as personal protection equipment (PPE) are needed to reduce the infection rate and protect those in close contact with patients (Heymaโ€ฆ

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Engineering Preprint PDF DOI

Predi\c{c}\~ao da Idade Cerebral a partir de Imagens de Resson\^ancia Magn\'etica utilizando Redes Neurais Convolucionais

Victor H. R. Oliveira, Augusto Antunes, Alexandre S. Soares, Arthur D. Reys, Robson Z. Junior, Saulo D. S. Pedro, Danilo Silva ยท 2021

In this work, deep learning techniques for brain age prediction from magnetic resonance images are investigated, aiming to assist in the identification of biomarkers of the natural aging process. The โ€ฆ

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Engineering Preprint PDF DOI

RASEC: Rescaling Acquisition Strategy with Energy Constraints under SE-OU Fusion Kernel for Active Trachea Palpation and Incision Recommendation in Laryngeal Region

Wenchao Yue, Fan Bai, Jianbang Liu, Feng Ju, Max Q-H Meng, Chwee Ming Lim, Hongliang Ren ยท 2021

A novel palpation-based incision detection strategy in the laryngeal region, potentially for robotic tracheotomy, is proposed in this letter. A tactile sensor is introduced to measure tissue hardness โ€ฆ

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Engineering Preprint PDF DOI

Single-Source SIE for Two-Dimensional Arbitrarily Connected Penetrable and PEC Objects with Nonconformal Meshes

Zekun Zhu, Aipeng Sun, Xiaochao Zhou, Shunchuan Yang, Zhizhang (David) Chen ยท 2021

We proposed a simple and efficient modular single-source surface integral equation (SS-SIE) formulation for electromagnetic analysis of arbitrarily connected penetrable and perfectly electrical conducโ€ฆ

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Engineering Preprint PDF DOI

Comparing the Notions of Opacity for Discrete-Event Systems

Jiri Balun, Tomas Masopust ยท 2021

Opacity is an information flow property characterizing whether a system reveals its secret to a passive observer. Several notions of opacity have been introduced in the literature. We study the notionโ€ฆ

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Engineering Preprint PDF DOI

Are wave union methods still suitable for 20 nm FPGA-based high-resolution (< 2 ps) time-to-digital converters?

Wujun Xie, Haochang Chen, David Day-Uei Li ยท 2020

This paper presents several new structures to pursue high-resolution (< 2 ps) time-to-digital converters (TDCs) in Xilinx 20 nm UltraScale field-programmable gate arrays (FPGAs). The proposed TDCs comโ€ฆ

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Engineering Preprint PDF DOI

3D Mobility Models and Analysis for UAVs

Peter J. Smith, Pawel A. Dmochowski, Ikram Singh, Richard Green, Carl P. Dettmann, Justin P. Coon ยท 2020

We present a flexible family of 3D mobility models suitable for unmanned aerial vehicles (UAV). Based on stochastic differential equations, the models offer a unique property of explicitly incorporatiโ€ฆ

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Engineering Preprint PDF DOI

A Novel Received Signal Strength Assisted Perspective-three-Point Algorithm for Indoor Visible Light Positioning

Lin Bai, Yang Yang, Chunyan Feng, Caili Guo ยท 2020

In this paper, a received signal strength assisted Perspective-three-Point positioning algorithm (R-P3P) is proposed for visible light positioning (VLP) systems. The basic idea of R-P3P is to joint viโ€ฆ

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