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๐Ÿ” a.m. stuart ๐Ÿ“‚ Engineering
Showing 9527 results for "a.m. stuart" in Engineering
Engineering Preprint PDF DOI

LiDAR-based Dynamic Blockage Prediction: A Data-driven Approach for Learning Interactive Bayesian Models

Saleemullah Memon, Ali Krayani, Pamela Zontone, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni ยท 2026

Vehicular sensing-based intelligence has made substantial progress in transportation systems, leading to higher levels of safety and sustainability for smart cities and autonomous systems. This paper โ€ฆ

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Engineering Preprint PDF DOI

A New Location Estimator for Mixed LOS & NLOS scenarios

Gaurav Duggal, Richard M. Buehrer, Harpreet S. Dhillon, Jeffrey H. Reed ยท 2026

Time-of-arrival (TOA)-based localization in mixed line-of-sight (LOS) and non-line-of-sight (NLOS) environments is challenging because conventional Euclidean range models do not capture diffraction-doโ€ฆ

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Engineering Preprint PDF DOI

STAR-Filter: Efficient Convex Free-Space Approximation via Starshaped Set Filtering in Noisy Environments

Yuwei Wu, Yichen Zhao, Dexter Ong, Vijay Kumar ยท 2026

Approximating collision-free space is fundamental to robot planning in complex environments. Convex geometric representations, such as polytopes and ellipsoids, are widely employed due to their structโ€ฆ

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Engineering Preprint PDF DOI

Hybrid Digital and Microwave Linear Analog Computer (MiLAC)-aided Beamforming for Multiuser MIMO-OFDM Systems

Yiyang Peng, Zheyu Wu, Bruno Clerckx ยท 2026

Microwave linear analog computing (MiLAC) has recently emerged as a promising architecture for analog-domain beamforming. In particular, a hybrid digital-MiLAC architecture was proposed and was shown โ€ฆ

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Engineering Preprint PDF DOI

A Comparative study on THz Communication Systems: Photonics versus Electronics Approaches

Talha Rahman, Murat Uysal ยท 2026

Terahertz (THz) communication has emerged as a key enabler for sixth-generation (6G) networks, offering ultrawide bandwidths to support data-intensive applications such as holographic telepresence andโ€ฆ

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Engineering Preprint PDF DOI

Optimizing Tracking Accuracy in Energy-Constrained Multimodal ISAC via Lyapunov-Driven Heterogeneous Mixture-of-Experts

Wenqi Fan, Ning Wei, Ahmad Bazzi, Rongyan Xi, Zhixian Song, You Li, Zhihan Zeng, Yue Xiu, Chadi Assi ยท 2026

The integration of multimodal sensing and millimeter-wave (mmWave) communications is a key enabler for highly mobile vehicle-to-infrastructure (V2I) networks. However, continuous high-resolution visuaโ€ฆ

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Engineering Preprint PDF DOI

Sparse Graph Learning from Sparse Data via Fiedler Number Maximization

Bahar Oveisgharan, Gene Cheung, Andrew Eckford ยท 2026

We aim to learn a sparse and connected graph from sparse data, where the number of observations K can be substantially smaller than the signal dimension N for signals x in R^N, and the underlying distโ€ฆ

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Engineering Preprint PDF DOI

Optimal UGV-UAV Cooperative Partitioning and Inspection of Shortest Paths

Ninh Nguyen, Srinivas Akella ยท 2026

We study cooperative shortest path planning for an unmanned ground vehicle (UGV) assisted by an unmanned aerial vehicle (UAV) in environments with unknown road blockages that are only discovered when โ€ฆ

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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 ยท 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 bridgiโ€ฆ

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Engineering Preprint PDF DOI

Quantization-Aware EE Optimization and SE-EE Tradeoff for MiLAC-Aided MU-MISO Beamforming

Yuchen Zhang, Pinjun Zheng, Tareq Y. Al-Naffouri ยท 2026

In large antenna arrays, hardware power consumption becomes a dominant design constraint, making energy efficiency (EE) a first-class objective alongside spectral efficiency (SE). Microwave linear anaโ€ฆ

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Engineering Preprint PDF DOI

CONCERTO: Characterization of analog readout electronics

Mounir Abdkrimi (NEEL - MagSup), Olivier Rossetto (LPSC), O. Bourrion (LPSC), Christophe Vescovi (LPSC), C. Hoarau (LPSC) ยท 2026

CONCERTO is a millimeter-wave imaging instrument that operated on the Atacama Pathfinder Experiment (APEX) telescope from April 2021 to May 2023. Its primary scientific objectives include the study ofโ€ฆ

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Engineering Preprint PDF DOI

BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal

Phat Lam ยท 2026

Electroencephalography (EEG) is highly susceptible to artifact contamination, such as electrooculographic (EOG) and electromyographic (EMG) interference, which severely degrades signal quality and hinโ€ฆ

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Engineering Preprint PDF DOI

Intention-Aware Semantic Agent Communications for AI Glasses

Peiwen Jiang, Fangyu Liu, Jiajia Guo, Chao-Kai Wen, Shi Jin, Jun Zhang ยท 2026

Smart glasses are emerging as a promising interface between humans and artificial intelligence (AI) agents, enabling first-person perception, contextual awareness, and real-time assistance. However, cโ€ฆ

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Engineering Preprint PDF DOI

EgoLive: A Large-Scale Egocentric Dataset from Real-World Human Tasks

Yihang Li, Xuelong Wei, Jingzhou Luo, Yingjing Xiao, Yibo Bai, Guangyuan Zhou, Teng Zou, Chenguang Gui, Jiajun Wen, He Zhang, Kangliang Chen, Xing Pan, Shuaiyan Liu, Daming Wang, Tao An, Jiayi Li, Shibo Jin, Wanwan Zhang, Tianyu Wang, Boren Wei, Zhixuan Huang, Fangsheng Liu, Ruodai Li, Hui Zhang, Anson Li, Yicheng Gong, Peng Cao, Jiaming Liang, Liang Lin ยท 2026

The advancement of robot learning is currently hindered by the scarcity of large-scale, high-quality datasets. While established data collection methods such as teleoperation and universal manipulatioโ€ฆ

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An Exponentially stable Extended Kalman Filter with Estimate dependent Process noise Covariance for Chemical Reaction Networks

Suryasnata Dash, Abhishek Dey ยท 2026

Biomolecular systems are often modeled with partially known nonlinear stochastic dynamics, making state and parameter estimation a central challenge. While Kalman filtering techniques are widely used โ€ฆ

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Engineering Preprint PDF DOI

The manifold of unitary and symmetric matrices: characterization, Riemannian optimization and application to BD-RIS design

Ignacio Santamaria, Carlos Beltran, Eduard Jorswieck, Mohammad Soleymani, Jesus Gutierrez ยท 2026

This paper proposes and analyzes Riemannian optimization algorithms on the manifold of unitary and symmetric matrices, denoted ${\cal {U}}_s$, which naturally models the scattering matrices of passiveโ€ฆ

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Engineering Preprint PDF DOI

Advancing automatic speech recognition using feature fusion with self-supervised learning features: A case study on Fearless Steps Apollo corpus

Szu-Jui Chen, John H.L. Hansen ยท 2026

Using self-supervised learning (SSL) models has significantly improved performance for downstream speech tasks, surpassing the capabilities of traditional hand-crafted features. This study investigateโ€ฆ

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Engineering Preprint PDF DOI

A Multi-Stage Warm-Start Deep Learning Framework for Unit Commitment

Muhy Eddin Za'ter, Anna Van Boven, Bri-Mathias Hodge, Kyri Baker ยท 2026

Maintaining instantaneous balance between electricity supply and demand is critical for reliability and grid instability. System operators achieve this through solving the task of Unit Commitment (UC)โ€ฆ

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Engineering Preprint PDF DOI

Using Assembly Language for Creating Games

Haris Turkmanovic, David Vukoje, Aleksandra Lekic, Milan Prokin ยท 2026

The aim of this paper is to demonstrate some interesting and useful approaches for writing a program in the assembly language. In order to demonstrate the possibilities of the assembly language, a proโ€ฆ

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Engineering Preprint PDF DOI

PREVENT-JACK: Context Steering for Swarms of Long Heavy Articulated Vehicles

Adrian Baruck, Michael Dube, Christoph Steup, Sanaz Mostaghim ยท 2026

In this paper, we aim to extend the traditional point-mass-like robot representation in swarm robotics and instead study a swarm of long Heavy Articulated Vehicles (HAVs). HAVs are kinematically constโ€ฆ

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