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๐Ÿ” paul manns ๐Ÿ“‚ Engineering
Showing 220 results for "paul manns" in Engineering
Engineering Preprint PDF DOI

An Open-Source Hardware-Aware Sub-THz Radio-Stripe Simulator

Tijl Schepens, Thomas Feys, Thomas Eriksson, Gilles Callebaut ยท 2026

Sub-Terahertz radio-stripe and distributed MIMO architectures promise extreme spatial reuse and multi-GHz bandwidths, but the cascaded fiber front-haul and RF hardware impairments strongly shape end-tโ€ฆ

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Engineering Preprint PDF DOI

Multiscale topology optimization of compressible and nearly incompressible anisotropic hyperelastic structures using physics-augmented neural networks

Asghar A. Jadoon, Aryan Tyagi, L. River Spencer, Reese E. Jones, Manuel K. Rausch, Ryan Alberdi, D. Thomas Seidl, Jan N. Fuhg ยท 2026

Multiscale topology optimization (TO) of hyperelastic materials remains computationally prohibitive due to the repeated solution of microscale boundary value problems. In this work, we present a concuโ€ฆ

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Engineering Preprint PDF DOI

Evaluating Pretrained General-Purpose Audio Representations for Music Genre Classification

Kashish Rai, Mrinmoy Bhattacharjee ยท 2026

This study investigates the use of self-supervised learning embeddings, particularly BYOL-A, in conjunction with a deep neural network classifier for Music Genre Classification. Our experiments demonsโ€ฆ

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Engineering Preprint PDF DOI

A Learnable SIM Paradigm: Fundamentals, Training Techniques, and Applications

Hetong Wang, Yashuai Cao, Tiejun Lv ยท 2026

Stacked intelligent metasurfaces (SIMs) represent a breakthrough in wireless hardware by comprising multilayer, programmable metasurfaces capable of analog computing in the electromagnetic (EM) wave dโ€ฆ

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Engineering Preprint PDF DOI

Simulation-in-the-Reasoning (SiR): A Conceptual Framework for Empirically Grounded AI in Autonomous Transportation

Wuping Xin ยท 2026

Large Language Models (LLMs) have advanced reasoning through techniques like Chain-of-Thought (CoT). However, their reasoning largely re-mains textual and hypothetical, lacking empirical grounding in โ€ฆ

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Engineering Preprint PDF DOI

High-Slip-Ratio Control for Peak Tire-Road Friction Estimation Using Automated Vehicles

Zhaohui Liang, Hang Zhou, Heye Huanh, Xiaopeng Li ยท 2026

Accurate estimation of the tire-road friction coefficient (TRFC) is critical for ensuring safe vehicle control, especially under adverse road conditions. However, most existing methods rely on naturalโ€ฆ

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Engineering Preprint PDF DOI

Digging for Data: Experiments in Rock Pile Characterization Using Only Proprioceptive Sensing in Excavation

Unal Artan, Martin Magnusson, Joshua A. Marshall ยท 2026

Characterization of fragmented rock piles is a fundamental task in the mining and quarrying industries, where rock is fragmented by blasting, transported using wheel loaders, and then sent for furtherโ€ฆ

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Engineering Preprint PDF DOI

Phase-Aware Policy Learning for Skateboard Riding of Quadruped Robots via Feature-wise Linear Modulation

Minsung Yoon, Jeil Jeong, Sung-Eui Yoon ยท 2026

Skateboards offer a compact and efficient means of transportation as a type of personal mobility device. However, controlling them with legged robots poses several challenges for policy learning due tโ€ฆ

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Engineering Preprint PDF DOI

Exploring Polarimetric Properties Preservation during Reconstruction of PolSAR images using Complex-valued Convolutional Neural Networks

Quentin Gabot, Joana Frontera-Pons, Jeremy Fix, Chengfang Ren, Jean-Philippe Ovarlez ยท 2026

The inherently complex-valued nature of Polarimetric SAR data necessitates using specialized algorithms capable of directly processing complex-valued representations. However, this aspect remains undeโ€ฆ

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Engineering Preprint PDF DOI

Learning to accelerate Krasnosel'skii-Mann fixed-point iterations with guarantees

Andrea Martin, Giuseppe Belgioioso ยท 2026

We introduce a principled learning to optimize (L2O) framework for solving fixed-point problems involving general nonexpansive mappings. Our idea is to deliberately inject summable perturbations into โ€ฆ

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Engineering Preprint PDF DOI

SINRL: Socially Integrated Navigation with Reinforcement Learning using Spiking Neural Networks

Florian Tretter, Daniel Flogel, Alexandru Vasilache, Max Grobbel, Jurgen Becker, Soren Hohmann ยท 2025

Integrating autonomous mobile robots into human environments requires human-like decision-making and energy-efficient, event-based computation. Despite progress, neuromorphic methods are rarely applieโ€ฆ

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Engineering Preprint PDF DOI

Pauli Decomposition of Impedance Matrices for Understanding the Root Cause of Instabilities in Grid-Connected Power Electronic Converters

Josue Andino, Milan Prodanovic, Javier Roldan-Perez ยท 2025

The impedance criterion has emerged as an alternative way to stability assessment of grid-connected power electronic converters. However, the lack of physical meaning of impedance and admittance matriโ€ฆ

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Engineering Preprint PDF DOI

Efficient Decoders for Sensing Subspace Code

Siva Aditya Gooty, Hessam Mahdavifar ยท 2025

Sparse antenna array sensing of source/target via direction of arrival (DoA) estimation motivates design of the sensing framework in joint communication and sensing (JCAS) systems for sixth generationโ€ฆ

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Engineering Preprint PDF DOI

Autonomous Reinforcement Learning Robot Control with Intel's Loihi 2 Neuromorphic Hardware

Kenneth Stewart, Roxana Leontie, Samantha Chapin, Joe Hays, Sumit Bam Shrestha, Carl Glen Henshaw ยท 2025

We present an end-to-end pipeline for deploying reinforcement learning (RL) trained Artificial Neural Networks (ANNs) on neuromorphic hardware by converting them into spiking Sigma-Delta Neural Networโ€ฆ

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Engineering Preprint PDF DOI

Effects of disease duration and antipsychotics on brain age in schizophrenia

Alejandro Roig-Herrero, Luis M. San-Jose-Revuelta, Rafael Navarro-Gonzalez, Rodrigo de Luis-Garcia, Vicente Molina ยท 2025

Accelerated brain aging has been consistently reported in patients with schizophrenia. Over the past decade, these findings have been replicated using the Brain Age paradigm, which applies machine leaโ€ฆ

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Engineering Preprint PDF DOI

Real-World Reinforcement Learning of Active Perception Behaviors

Edward S. Hu, Jie Wang, Xingfang Yuan, Fiona Luo, Muyao Li, Gaspard Lambrechts, Oleh Rybkin, Dinesh Jayaraman ยท 2025

A robot's instantaneous sensory observations do not always reveal task-relevant state information. Under such partial observability, optimal behavior typically involves explicitly acting to gain the mโ€ฆ

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Engineering Preprint PDF DOI

KinesCeTI: A Modular and Size-Adaptable Force Feedback Glove with Interchangeable Actuation for the Index and Thumb

Pablo Alvarez Romeo, Mehmet Ercan Altinsoy ยท 2025

Force feedback gloves in haptic applications remain constrained by limited adaptability, simplified feedback, and fixed architectures that limit force feedback versatility. To address these challengesโ€ฆ

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Engineering Preprint PDF DOI

Agility Meets Stability: Versatile Humanoid Control with Heterogeneous Data

Yixuan Pan, Ruoyi Qiao, Li Chen, Kashyap Chitta, Liang Pan, Haoguang Mai, Qingwen Bu, Hao Zhao, Cunyuan Zheng, Ping Luo, Hongyang Li ยท 2025

Humanoid robots are envisioned to perform a wide range of tasks in human-centered environments, requiring controllers that combine agility with robust balance. Recent advances in locomotion and whole-โ€ฆ

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Engineering Preprint PDF DOI

PUL-SLAM: Path-Uncertainty Co-Optimization with Lightweight Stagnation Detection for Efficient Robotic Exploration

Yizhen Yin, Dapeng Feng, Hongbo Chen, Yuhua Qi ยท 2025

Existing Active SLAM methodologies face issues such as slow exploration speed and suboptimal paths. To address these limitations, we propose a hybrid framework combining a Path-Uncertainty Co-Optimizaโ€ฆ

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Engineering Preprint PDF DOI

Combined fluorescence and photoacoustic imaging of tozuleristide in muscle tissue in vitro -- toward optically-guided solid tumor surgery: feasibility studies

Ruibo Shang, Matthew Thompson, Matthew D. Carson, Eric J. Seibel, Matthew O'Donnell, Ivan Pelivanov ยท 2025

Near-infrared fluorescence (NIRF) can deliver high-contrast, video-rate, non-contact imaging of tumor-targeted contrast agents with the potential to guide surgeries excising solid tumors. However, it โ€ฆ

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