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๐Ÿ” tom rainforth ๐Ÿ“‚ Engineering
Showing 722 results for "tom rainforth" in Engineering
Engineering Preprint PDF DOI

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception

Ensong Liu, Rongqing Zhang, Xiang Cheng, Jian Tang ยท 2025

Collaborative perception enables more accurate and comprehensive scene understanding by learning how to share information between agents, with LiDAR point clouds providing essential precise spatial daโ€ฆ

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Engineering Preprint PDF DOI

U-ARM : Ultra low-cost general teleoperation interface for robot manipulation

Yanwen Zou, Zhaoye Zhou, Chenyang Shi, Zewei Ye, Junda Huang, Yan Ding, Bo Zhao ยท 2025

We propose U-Arm, a low-cost and rapidly adaptable leader-follower teleoperation framework designed to interface with most of commercially available robotic arms. Our system supports teleoperation thrโ€ฆ

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Engineering Preprint PDF DOI

Synesthesia of Machines (SoM)-Based Task-Driven MIMO System for Image Transmission

Sijiang Li, Rongqing Zhang, Xiang Cheng, Jian Tang ยท 2025

To support cooperative perception (CP) of networked mobile agents in dynamic scenarios, the efficient and robust transmission of sensory data is a critical challenge. Deep learning-based joint source-โ€ฆ

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Engineering Preprint PDF DOI

A Layered Control Perspective on Legged Locomotion: Embedding Reduced Order Models via Hybrid Zero Dynamics

Sergio A. Esteban, Max H. Cohen, Adrian B. Ghansah, Aaron D. Ames ยท 2025

Reduced-order models (ROMs) provide a powerful means of synthesizing dynamic walking gaits on legged robots. Yet this approach lacks the formal guarantees enjoyed by methods that utilize the full-ordeโ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Bifurcation Handling in Physics-Based Reduced-Order Vascular Hemodynamic Models

Natalia L. Rubio, Eric F. Darve, Alison L. Marsden ยท 2025

Three-dimensional (3D) finite-element simulations of cardiovascular flows provide high-fidelity predictions to support cardiovascular medicine, but their high computational cost limits clinical practiโ€ฆ

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Engineering Preprint PDF DOI

Symbol Detection Using an Integrate-and-Fire Time Encoding Receiver

Neil Irwin Bernardo ยท 2025

Event-driven sampling is a promising alternative to uniform sampling methods, particularly for systems constrained by power and hardware cost. A notable example of this sampling approach is the integrโ€ฆ

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Engineering Preprint PDF DOI

py360tool: Um framework para manipula\c{c}\~ao de v\'ideo 360$^\circ$ com ladrilhos

Henrique Domingues Garcia, Marcelo Menezes de Carvalho ยท 2025

The streaming of 360$^\circ$ videos is one of the most bandwidth-demanding virtual reality (VR) applications, as the video must be encoded in ultra-high resolution to ensure an immersive experience. Tโ€ฆ

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Engineering Preprint PDF DOI

TOM: An Open-Source Tongue Segmentation Method with Multi-Teacher Distillation and Task-Specific Data Augmentation

Jiacheng Xie, Ziyang Zhang, Biplab Poudel, Congyu Guo, Yang Yu, Guanghui An, Xiaoting Tang, Lening Zhao, Chunhui Xu, Dong Xu ยท 2025

Tongue imaging serves as a valuable diagnostic tool, particularly in Traditional Chinese Medicine (TCM). The quality of tongue surface segmentation significantly affects the accuracy of tongue image cโ€ฆ

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Engineering Preprint PDF DOI

Multi-Functional Polarization-Based Coverage Control through Static Passive EMSs

Giacomo Oliveri, Francesco Zardi, Aaron Angel Salas Sanchez, Andrea Massa ยท 2025

An innovative multi-functional static-passive electromagnetic skin (SP-EMS) solution is proposed to simultaneously support, in reflection, two independent wave-manipulation functionalities with a singโ€ฆ

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Engineering Preprint PDF DOI

CarAT: Carbon Atom Tracing across Industrial Chemical Value Chains via Chemistry Language Models

Emma Pajak, David Walz, Olga Walz, Laura Marie Helleckes, Klaus Hellgardt, Antonio del Rio Chanona ยท 2025

The chemical industry is increasingly prioritising sustainability, with a focus on reducing carbon footprints to achieve net zero. By 2026, the Together for Sustainability (TfS) consortium will requirโ€ฆ

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Engineering Preprint PDF DOI

Real-time CARFAC Cochlea Model Acceleration on FPGA for Underwater Acoustic Sensing Systems

Bram Bremer, Matthew Bigelow, Stuart Anstee, Gregory Cohen, Andre van Schaik, Ying Xu ยท 2025

This paper presents a real-time, energy-efficient embedded system implementing an array of Cascade of Asymmetric Resonators with Fast-Acting Compression (CARFAC) cochlea models for underwater sound anโ€ฆ

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Engineering Preprint PDF DOI

OpenDCVCs: A PyTorch Open Source Implementation and Performance Evaluation of the DCVC series Video Codecs

Yichi Zhang, Fengqing Zhu ยท 2025

We present OpenDCVCs, an open-source PyTorch implementation designed to advance reproducible research in learned video compression. OpenDCVCs provides unified and training-ready implementations of fouโ€ฆ

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Engineering Preprint PDF DOI

Efficient Adjoint Petrov-Galerkin Reduced Order Models for fluid flows governed by the incompressible Navier-Stokes equations

Kamil David Sommer, Lucas Mieg, Siddharth Sharma, Romuald Skoda, Martin Monnigmann ยท 2025

This research paper investigates the Adjoint Petrov-Galerkin (APG) method for reduced order models (ROM) and fluid dynamics governed by the incompressible Navier-Stokes equations. The Adjoint Petrov-Gโ€ฆ

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Engineering Preprint PDF DOI

TCM-Tongue: A Standardized Tongue Image Dataset with Pathological Annotations for AI-Assisted TCM Diagnosis

Xuebo Jin, Longfei Gao, Anshuo Tong, Zhengyang Chen, Jianlei Kong, Ning Sun, Huijun Ma, Qiang Wang, Yuting Bai, Tingli Su ยท 2025

Traditional Chinese medicine (TCM) tongue diagnosis, while clinically valuable, faces standardization challenges due to subjective interpretation and inconsistent imaging protocols, compounded by the โ€ฆ

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Engineering Preprint PDF DOI

Multipath Interference Suppression in Indirect Time-of-Flight Imaging via a Novel Compressed Sensing Framework

Yansong Du, Yutong Deng, Yuting Zhou, Feiyu Jiao, Bangyao Wang, Zhancong Xu, Zhaoxiang Jiang, Xun Guan ยท 2025

We propose a novel compressed sensing method to improve the depth reconstruction accuracy and multi-target separation capability of indirect Time-of-Flight (iToF) systems. Unlike traditional approacheโ€ฆ

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Engineering Preprint PDF DOI

An AI-driven EDA Algorithm-Empowered VCO and LDO Co-Design Method

Yijia Hao, Maarten Strackx, Miguel Gandara, Sandy Cochran, Bo Liu ยท 2025

Traditionally, the output noise and power supply rejection of low-dropout regulators (LDOs) are optimized to minimize power supply fluctuations, reducing their impact on the low-frequency noise of tarโ€ฆ

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Engineering Preprint PDF DOI

MultiTaskDeltaNet: Change Detection-based Image Segmentation for Operando ETEM with Application to Carbon Gasification Kinetics

Yushuo Niu, Tianyu Li, Yuanyuan Zhu, Qian Yang ยท 2025

Transforming in-situ transmission electron microscopy (TEM) imaging into a tool for spatially-resolved operando characterization of solid-state reactions requires automated, high-precision semantic seโ€ฆ

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Engineering Preprint PDF DOI

Improving U-Net Confidence on TEM Image Data with L2-Regularization, Transfer Learning, and Deep Fine-Tuning

Aiden Ochoa, Xinyuan Xu, Xing Wang ยท 2025

With ever-increasing data volumes, it is essential to develop automated approaches for identifying nanoscale defects in transmission electron microscopy (TEM) images. However, compared to features in โ€ฆ

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Engineering Preprint PDF DOI

Koopman Operator Based Linear Model Predictive Control for 2D Quadruped Trotting, Bounding, and Gait Transition

Chun-Ming Yang, Pranav A. Bhounsule ยท 2025

Online optimal control of quadrupedal robots would enable them to plan their movement in novel scenarios. Linear Model Predictive Control (LMPC) has emerged as a practical approach for real-time contrโ€ฆ

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Engineering Preprint PDF DOI

One-Time Programmable Passive Electromagnetic Skins

Giacomo Oliveri, Francesco Zardi, Aaron Angel Salas Sancez, Andrea Massa ยท 2025

The implementation of simple, inexpensive, and mass-production-oriented solutions for smart electromagnetic environments (SEMEs) is dealt with by introducing the concept of "one-time programmable" eleโ€ฆ

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