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

TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement Learning

Yuhui Chen, Haoran Li, Zhennan Jiang, Haowei Wen, Dongbin Zhao ยท 2025

Developing scalable and generalizable reward engineering for reinforcement learning (RL) is crucial for creating general-purpose agents, especially in the challenging domain of robotic manipulation. Wโ€ฆ

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Engineering Preprint PDF DOI

Real-time Whole-body Model Predictive Control for Bipedal Locomotion with a Novel Kino-dynamic Model and Warm-start Method

Junhyung Kim, Hokyun Lee, Jaeheung Park ยท 2025

Advancements in optimization solvers and computing power have led to growing interest in applying whole-body model predictive control (WB-MPC) to bipedal robots. However, the high degrees of freedom aโ€ฆ

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Empirical 3D Channel Modeling for Cellular-Connected UAVs: A Triple-Layer Machine Learning Approach

Haider A.H. Alobaidy, Mehran Behjati, Rosdiadee Nordin, Muhammad Aidiel Zulkifley, Nor Fadzilah Abdullah, Nur Fahimah Mat Salleh ยท 2025

This work proposes an empirical air to ground (A2G) propagation model specifically designed for cellular connected unmanned aerial vehicles (UAVs). An in depth aerial drive test was carried out withinโ€ฆ

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SPADE: Towards Scalable Path Planning Architecture on Actionable Multi-Domain 3D Scene Graphs

Vignesh Kottayam Viswanathan, Akash Patel, Mario Alberto Valdes Saucedo, Sumeet Satpute, Christoforos Kanellakis, George Nikolakopoulos ยท 2025

In this work, we introduce SPADE, a path planning framework designed for autonomous navigation in dynamic environments using 3D scene graphs. SPADE combines hierarchical path planning with local geomeโ€ฆ

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Engineering Preprint PDF DOI

S2R-Bench: A Sim-to-Real Evaluation Benchmark for Autonomous Driving

Li Wang, Guangqi Yang, Lei Yang, Ziying Song, Xinyu Zhang, Ying Chen, Lin Liu, Junjie Gao, Zhiwei Li, Qingshan Yang, Jun Li, Liangliang Wang, Wenhao Yu, Bin Xu, Weida Wang, Huaping Liu ยท 2025

Safety is a long-standing and the final pursuit in the development of autonomous driving systems, with a significant portion of safety challenge arising from perception. How to effectively evaluate thโ€ฆ

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Engineering Preprint PDF DOI

A Coarse to Fine 3D LiDAR Localization with Deep Local Features for Long Term Robot Navigation in Large Environments

Miriam Maximo, Antonio Santo, Arturo Gil, Monica Ballesta, David Valiente ยท 2025

The location of a robot is a key aspect in the field of mobile robotics. This problem is particularly complex when the initial pose of the robot is unknown. In order to find a solution, it is necessarโ€ฆ

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UltraBoneUDF: Self-supervised Bone Surface Reconstruction from Ultrasound Based on Neural Unsigned Distance Functions

Luohong Wu, Matthias Seibold, Nicola A. Cavalcanti, Giuseppe Loggia, Lisa Reissner, Bastian Sigrist, Jonas Hein, Lilian Calvet, Arnd Viehofer, Philipp Furnstahl ยท 2025

Bone surface reconstruction is an essential component of computer-assisted orthopedic surgery(CAOS), forming the foundation for both preoperative planning and intraoperative guidance. Compared to tradโ€ฆ

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Source Separation of Small Classical Ensembles: Challenges and Opportunities

Gerardo Roa-Dabike, Trevor J. Cox, Jon P. Barker, Michael A. Akeroyd, Scott Bannister, Bruno Fazenda, Jennifer Firth, Simone Graetzer, Alinka Greasley, Rebecca R. Vos, William M. Whitmer ยท 2025

Musical (MSS) source separation of western popular music using non-causal deep learning can be very effective. In contrast, MSS for classical music is an unsolved problem. Classical ensembles are hardโ€ฆ

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Anatomy-Guided Multitask Learning for MRI-Based Classification of Placenta Accreta Spectrum and its Subtypes

Hai Jiang, Qiongting Liu, Yuanpin Zhou, Jiawei Pan, Ting Song, Yao Lu ยท 2025

Placenta Accreta Spectrum Disorders (PAS) pose significant risks during pregnancy, frequently leading to postpartum hemorrhage during cesarean deliveries and other severe clinical complications, with โ€ฆ

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UAV Control with Vision-based Hand Gesture Recognition over Edge-Computing

Sousannah Abdalla, Sabur Baidya ยท 2025

Gesture recognition presents a promising avenue for interfacing with unmanned aerial vehicles (UAVs) due to its intuitive nature and potential for precise interaction. This research conducts a comprehโ€ฆ

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Data Center Model for Transient Stability Analysis of Power Systems

Alberto Jimenez-Ruiz, Federico Milano ยท 2025

The rising demand of computing power leads to the installation of a large number of Data Centers (DCs). Their Fault-Ride-Through (FRT) behavior and their unique power characteristics, especially for Dโ€ฆ

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From Local Patterns to Global Understanding: Cross-Stock Trend Integration for Enhanced Predictive Modeling

Yi Hu, Hanchi Ren, Jingjing Deng, Xianghua Xie ยท 2025

Stock price prediction is a critical area of financial forecasting, traditionally approached by training models using the historical price data of individual stocks. While these models effectively capโ€ฆ

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Quantum-Driven Multihead Inland Waterbody Detection With Transformer-Encoded CYGNSS Delay-Doppler Map Data

Chia-Hsiang Lin, Jhao-Ting Lin, Po-Ying Chiu, Shih-Ping Chen, Charles C. H. Lin ยท 2025

Inland waterbody detection (IWD) is critical for water resources management and agricultural planning. However, the development of high-fidelity IWD mapping technology remains unresolved. We aim to prโ€ฆ

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Scalable and Efficient Aggregation of Energy-Constrained Flexible Loads

Julie Rousseau, Philipp Heer, Kristina Orehounig, Gabriela Hug ยท 2025

Loads represent a promising flexibility source to support the integration of renewable energy sources, as they may shift their energy consumption over time. By computing the aggregated flexibility of โ€ฆ

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Integrating Robotic Navigation with Blockchain: A Novel PoS-Based Approach for Heterogeneous Robotic Teams

Nasim Paykari, Ali Alfatemi, Damian M. Lyons, Mohamed Rahouti ยท 2025

This work explores a novel integration of blockchain methodologies with Wide Area Visual Navigation (WAVN) to address challenges in visual navigation for a heterogeneous team of mobile robots deployedโ€ฆ

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ASVspoof2019 vs. ASVspoof5: Assessment and Comparison

Avishai Weizman, Yehuda Ben-Shimol, Itshak Lapidot ยท 2025

ASVspoof challenges are designed to advance the understanding of spoofing speech attacks and encourage the development of robust countermeasure systems. These challenges provide a standardized databasโ€ฆ

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Towards Pre-training an Effective Respiratory Audio Foundation Model

Daisuke Niizumi, Daiki Takeuchi, Masahiro Yasuda, Binh Thien Nguyen, Yasunori Ohishi, Noboru Harada ยท 2025

Recent advancements in foundation models have sparked interest in respiratory audio foundation models. However, the effectiveness of applying conventional pre-training schemes to datasets that are smaโ€ฆ

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Comparing Parameterizations and Objective Functions for Maximizing the Volume of Zonotopic Invariant Sets

Chenliang Zhou, Heejin Ahn, Ian M. Mitchell ยท 2025

In formal safety verification, many proposed algorithms use parametric set representations and convert the computation of the relevant sets into an optimization problem; consequently, the choice of paโ€ฆ

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Co-optimize condenser water temperature and cooling tower fan using high-fidelity synthetic data

Gulai Shen, Gurpreet Singh, Ali Mehmani ยท 2025

This paper introduces a novel method for optimizing HVAC systems in buildings by integrating a high-fidelity physics-based simulation model with machine learning and measured data. The method enables โ€ฆ

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Global Maxwell Tomography Using the Volume-Surface Integral Equation for Improved Estimation of Electrical Properties

Ilias Giannakopoulos, Jose E. Cruz Serralles, Jan Paska, Martijn A. Cloos, Ryan Brown, Riccardo Lattanzi ยท 2025

Objective: Global Maxwell Tomography (GMT) is a noninvasive inverse optimization method for the estimation of electrical properties (EP) from magnetic resonance (MR) measurements. GMT uses the volume โ€ฆ

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