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๐Ÿ” computing methodologies ๐Ÿ“‚ Engineering
Showing 7833 results for "computing methodologies" in Engineering
Engineering Preprint PDF DOI

HoRAMA: Holistic Reconstruction with Automated Material Assignment for Ray Tracing using NYURay

Mingjun Ying, Guanyue Qian, Xinquan Wang, Peijie Ma, Dipankar Shakya, Theodore S. Rappaport ยท 2026

Next-generation wireless networks at upper mid-band and millimeter-wave frequencies require accurate site-specific deterministic channel propagation prediction. Wireless ray tracing (RT) provides siteโ€ฆ

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Engineering Preprint PDF DOI

MagneX: A High-Performance, GPU-Enabled, Data-Driven Micromagnetics Solver for Spintronics

Andy Nonaka, Yingheng Tang, Julian C. LePelch, Prabhat Kumar, Weiqun Zhang, Jorge A. Munoz, Christian Fernandez-Soria, Cesar Diaz, David J. Gardner, Zhi Jackie Yao ยท 2026

In order to comprehensively investigate the multiphysics coupling in spintronic devices, it is essential to parallelize and utilize GPU-acceleration to address the spatial and temporal disparities inhโ€ฆ

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Engineering Preprint PDF DOI

Non-Trivial Consensus on Directed Matrix-Weighted Networks with Cooperative and Antagonistic Interactions

Tianmu Niu, Bing Mao, Xiaoqun Wu, Tingwen Huang ยท 2026

This paper investigates the non-trivial consensus problem on directed signed matrix-weighted networks\textemdash a novel convergence state that has remained largely unexplored despite prior studies onโ€ฆ

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Engineering Preprint PDF DOI

C-POD: An AWS Cloud Framework for Edge Pod Automation and Remote Wireless Testbed Sharing

Annoy Dey, Vineet Sreeram, Gokkul Eraivan Arutkani Aiyanathan, Maxwell McManus, Yuqing Cui, Guanying Sun, Elizabeth Serena Bentley, Nicholas Mastronarde, Zhangyu Guan ยท 2026

This paper presents C-POD, a cloud-native framework that automates the deployment and management of edge pods for seamless remote access and sharing of wireless testbeds. C-POD leverages public cloud โ€ฆ

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Engineering Preprint PDF DOI

A physics-informed data-driven framework for modeling hyperelastic materials with progressive damage and failure

Kshitiz Upadhyay ยท 2026

This work presents a two-stage physics-informed, data-driven constitutive modeling framework for hyperelastic soft materials undergoing progressive damage and failure. The framework is grounded in theโ€ฆ

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Engineering Preprint PDF DOI

Unified Estimation--Guidance Framework Based on Bayesian Decision Theory

Liraz Mudrik, Yaakov Oshman ยท 2026

Using Bayesian decision theory, we modify the perfect-information, differential game-based guidance law (DGL1) to address the inevitable estimation error occurring when driving this guidance law with โ€ฆ

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Engineering Preprint PDF DOI

YOR: Your Own Mobile Manipulator for Generalizable Robotics

Manan H Anjaria, Mehmet Enes Erciyes, Vedant Ghatnekar, Neha Navarkar, Haritheja Etukuru, Xiaole Jiang, Kanad Patel, Dhawal Kabra, Nicholas Wojno, Radhika Ajay Prayage, Soumith Chintala, Lerrel Pinto, Nur Muhammad Mahi Shafiullah, Zichen Jeff Cui ยท 2026

Recent advances in robot learning have generated significant interest in capable platforms that may eventually approach human-level competence. This interest, combined with the commoditization of actuโ€ฆ

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Engineering Preprint PDF DOI

Deep Neural Network-Enhanced Frequency-Constrained Optimal Power Flow with Multi-Governor Dynamics

Fan Jiang, Xingpeng Li, Pascal Van Hentenryck ยท 2026

To ensure frequency security in power systems, both the rate of change of frequency (RoCoF) and the frequency nadir (FN) must be explicitly accounted for in real-time frequency-constrained optimal powโ€ฆ

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Engineering Preprint PDF DOI

Efficient Policy Adaptation for Voltage Control Under Unknown Topology Changes

Jie Feng, Yuanyuan Shi, Deepjyoti Deka ยท 2026

Reinforcement learning (RL) has shown great potential for designing voltage control policies, but their performance often degrades under changing system conditions such as topology reconfigurations anโ€ฆ

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Engineering Preprint PDF DOI

Analyzing Model Misspecification in Quantitative MRI: Application to Perfusion ASL

Jiachen Wang, Jon Tamir, Adam Bush ยท 2026

Quantitative MRI (qMRI) involves parameter estimation governed by an explicit signal model. However, these models are often confounded and difficult to validate in vivo. A model is misspecified when tโ€ฆ

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Evaluation of acoustic Green's function in rectangular rooms with general surface impedance walls

Matteo Calafa, Yuanxin Xia, Jonas Brunskog, Cheol-Ho Jeong ยท 2026

Acoustic room modes and the Green's function mode expansion are well-known for rectangular rooms with perfectly reflecting walls. First-order approximations also exist for nearly rigid boundaries; howโ€ฆ

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UAV-Assisted 6G Communication Networks for Railways: Technologies, Applications, and Challenges

Aamer Mohamed Huroon, Li-Chun Wang ยท 2026

Unmanned Aerial Vehicles (UAVs) are crucial for advancing railway communication by offering reliable connectivity, adaptive coverage, and mobile edge services . This survey examines UAV-assisted approโ€ฆ

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Engineering Preprint PDF DOI

Sci-VLA: Agentic VLA Inference Plugin for Long-Horizon Tasks in Scientific Experiments

Yiwen Pang, Bo Zhou, Changjin Li, Xuanhao Wang, Shengxiang Xu, Deng-Bao Wang, Min-Ling Zhang, Shimin Di ยท 2026

Robotic laboratories play a critical role in autonomous scientific discovery by enabling scalable, continuous experimental execution. Recent vision-language-action (VLA) models offer a promising foundโ€ฆ

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Real-time Load Current Monitoring of Overhead Lines Using GMR Sensors

Md Mahfuzur Rahman Chy, Md Rifat Al Amin Khan, Md Sultan Mahamud, Anwarul Islam Sifat, Fiona J. Stevens McFadden ยท 2026

Non-contact current monitoring has emerged as a prominent research focus owing to its non-intrusive characteristics and low maintenance requirements. However, while they offer high sensitivity, contacโ€ฆ

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A Generic Service-Oriented Function Offloading Framework for Connected Automated Vehicles

Robin Dehler, Michael Buchholz ยท 2026

Function offloading is a promising solution to address limitations concerning computational capacity and available energy of Connected Automated Vehicles~(CAVs) or other autonomous robots by distributโ€ฆ

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Engineering Preprint PDF DOI

Vec-QMDP: Vectorized POMDP Planning on CPUs for Real-Time Autonomous Driving

Xuanjin Jin, Yanxin Dong, Bin Sun, Huan Xu, Zhihui Hao, XianPeng Lang, Panpan Cai ยท 2026

Planning under uncertainty for real-world robotics tasks, such as autonomous driving, requires reasoning in enormous high-dimensional belief spaces, rendering the problem computationally intensive. Whโ€ฆ

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Engineering Preprint PDF DOI

Benchmarking Autonomous Vehicles: A Driver Foundation Model Framework

Yuxin Zhang, Cheng Wang, Hubert P. H. Shum ยท 2026

Autonomous vehicles (AVs) are poised to revolutionize global transportation systems. However, its widespread acceptance and market penetration remain significantly below expectations. This gap is primโ€ฆ

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Engineering Preprint PDF DOI

Detect, Attend and Extract: Keyword Guided Target Speaker Extraction

Haoyu Li, Yu Xi, Yidi Jiang, Shuai Wang, Kate Knill, Mark Gales, Haizhou Li, Kai Yu ยท 2026

Target speaker extraction (TSE) aims to extract the speech of a target speaker from mixtures containing multiple competing speakers. Conventional TSE systems predominantly rely on speaker cues, such aโ€ฆ

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Engineering Preprint PDF DOI

Accuracy-Delay Trade-Off in LLM Offloading via Token-Level Uncertainty

Yumin Kim, Hyeonsu Lyu, Minjae Lee, Hyun Jong Yang ยท 2026

Large language models (LLMs) offer significant potential for intelligent mobile services but are computationally intensive for resource-constrained devices. Mobile edge computing (MEC) allows such devโ€ฆ

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Engineering Preprint PDF DOI

Healthcare Facility Assignment Using Real-Time Length-of-Stay Predictions: Queuing-Theoretic and Simulation-driven Machine Learning Approaches

Najiya Fatma, Varun Ramamohan ยท 2026

Longer stays at healthcare facilities, driven by uncertain patient load, inefficient patient flow, and lack of real-time information about medical care, pose significant challenges for patients and heโ€ฆ

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