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๐Ÿ” f. hoffmann ๐Ÿ“‚ Engineering
Showing 629 results for "f. hoffmann" in Engineering
Engineering Preprint PDF DOI

Vector Quantized-Aided XL-MIMO CSI Feedback with Channel Adaptive Transmission

Yuhang Ma, Nan Ma, Jianqiao Chen, Wenkai Liu ยท 2026

Efficient channel state information (CSI) feedback is critical for 6G extremely large-scale multiple-input multiple-output (XL-MIMO) systems to mitigate channel interference. However, the massive anteโ€ฆ

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Engineering Preprint PDF DOI

Deep Learning Based Channel Extrapolation for Dual-Band Massive MIMO Systems

Qikai Xiao, Kehui Li, Binggui Zhou, Shaodan Ma ยท 2026

Future wireless communication systems will increasingly rely on the integration of millimeter wave (mmWave) and sub-6 GHz bands to meet heterogeneous demands on high-speed data transmission and extensโ€ฆ

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Engineering Preprint PDF DOI

Deep Reinforcement Learning based Control Design for Aircraft Recovery from Loss-of-Control Scenario

Imran Sayyed, Aayush Konar, Nandan Kumar Sinha ยท 2026

Loss-of-control (LOC) remains a leading cause of fixed-wing aircraft accidents, especially in post-stall and flat-spin regimes where conventional gain-scheduled or logic-based recovery laws may fail. โ€ฆ

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Engineering Preprint PDF DOI

F$^4$-CKM: Learning Channel Knowledge Map with Radio Frequency Radiance Field Rendering

Kequan Zhou, Guangyi Zhang, Hanlei Li, Yunlong Cai, Shengli Liu, Guanding Yu ยท 2026

In 6G mobile communications, acquiring accurate and timely channel state information (CSI) becomes increasingly challenging due to the growing antenna array size and bandwidth. To alleviate the CSI feโ€ฆ

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Engineering Preprint PDF DOI

Two-Robot Computational Landscape: A Complete Characterization of Model Power in Minimal Mobile Robot Systems

Naoki Kitamura, Yuichi Sudo, Koichi Wada ยท 2025

The computational power of autonomous mobile robots under the Look-Compute-Move (LCM) model has been widely studied through an extensive hierarchy of robot models defined by the presence of memory, coโ€ฆ

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Engineering Preprint PDF DOI

Hybrid Analytical-Machine Learning Framework for Ripple Factor Estimation in Cockcroft-Walton Voltage Multipliers with Residual Correction for Non-Ideal Effects

Md. Tanvirul Islam ยท 2025

Cockcroft-Walton (CW) voltage multipliers suffer from output ripple that classical analytical models underestimate due to neglected non-idealities like diode drops and capacitor ESR, particularly in hโ€ฆ

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Engineering Preprint PDF DOI

Alternating Direction Method of Multipliers for Nonlinear Matrix Decompositions

Atharva Awari, Nicolas Gillis, Arnaud Vandaele ยท 2025

We present an algorithm based on the alternating direction method of multipliers (ADMM) for solving nonlinear matrix decompositions (NMD). Given an input matrix $X \in \mathbb{R}^{m \times n}$ and a fโ€ฆ

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Engineering Preprint PDF DOI

Flexible Reconfigurable Intelligent Surface-Aided Covert Communications in UAV Networks

Chong Huang, Gaojie Chen, Zhuoao Xu, Jing Zhu, Taisong Pan, Rahim Tafazolli, Wei Huang ยท 2025

In recent years, unmanned aerial vehicles (UAVs) have become a key role in wireless communication networks due to their flexibility and dynamic adaptability. However, the openness of UAV-based communiโ€ฆ

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Engineering Preprint PDF DOI

Analysis of Frequency and Voltage Strength in Power Electronics-Dominated Power Systems Based on Eigen-subsystems

Huisheng Gao, Linbin Huang, Huanhai Xin, Zhiyi Li, Ping Ju ยท 2025

The large-scale integration of inverter-based resources (IBRs) has deteriorated the frequency/voltage (F/V) responses of power systems, leading to a higher risk of instability. Consequently, evaluatinโ€ฆ

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Engineering Preprint PDF DOI

An Asynchronous Mixed-Signal Resonate-and-Fire Neuron

Giuseppe Leo, Paolo Gibertini, Irem Ilter, Erika Covi, Ole Richter, Elisabetta Chicca ยท 2025

Analog computing at the edge is an emerging strategy to limit data storage and transmission requirements, as well as energy consumption, and its practical implementation is in its initial stages of deโ€ฆ

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Engineering Preprint PDF DOI

Sparse Computations in Deep Learning Inference

Ioanna Tasou, Panagiotis Mpakos, Angelos Vlachos, Dionysios Adamopoulos, Georgios Giannakopoulos, Konstantinos Katsikopoulos, Ioannis Karaparisis, Maria Lazou, Spyridon Loukovitis, Areti Mei, Anastasia Poulopoulou, Angeliki Dimitriou, Giorgos Filandrianos, Dimitrios Galanopoulos, Vasileios Karampinis, Ilias Mitsouras, Nikolaos Spanos, Petros Anastasiadis, Ioannis Doudalis, Konstantinos Nikas, George Retsinas, Paraskevi Tzouveli, Christina Giannoula, Nectarios Koziris, Nikela Papadopoulou, Giorgos Stamou, Athanasios Voulodimos, Georgios Goumas ยท 2025

The computational demands of modern Deep Neural Networks (DNNs) are immense and constantly growing. While training costs usually capture public attention, inference demands are also contributing in siโ€ฆ

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Engineering Preprint PDF DOI

Physics-Constrained Neural Dynamics: A Unified Manifold Framework for Large-Scale Power Flow Computation

Xuezhi Liu ยท 2025

Power flow analysis is a fundamental tool for power system analysis, planning, and operational control. Traditional Newton-Raphson methods suffer from limitations such as initial value sensitivity andโ€ฆ

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Engineering Preprint PDF DOI

Deep Broadcast Feedback Codes

Jacqueline Malayter, Yingyao Zhou, Natasha Devroye, Chih-Chun Wang, Christopher Brinton, David J. Love ยท 2025

Recent advances in deep learning for wireless communications have renewed interest in channel output feedback codes. In the additive white Gaussian broadcast channel with feedback (AWGN-BC-F), feedbacโ€ฆ

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Engineering Preprint PDF DOI

From Range Loss to Recovery -- Cold Weather Challenges and Design Strategies for Commercial Electric Vehicle Fleets

Soham Ghosh, Arpit Bohra, Karthik Saikumar ยท 2025

The North American commercial electric vehicle (EV) sector is undergoing rapid expansion, with unit sales rising from 21,120 in 2022 to 36,491 in 2023 - a 73% increase, according to the International โ€ฆ

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Deep Learning for Restoring MPI System Matrices Using Simulated Training Data

Artyom Tsanda, Sarah Reiss, Konrad Scheffler, Marija Boberg, Tobias Knopp ยท 2025

Magnetic particle imaging reconstructs tracer distributions using a system matrix obtained through time-consuming, noise-prone calibration measurements. Methods for addressing imperfections in measureโ€ฆ

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Engineering Preprint PDF DOI

ACE-F: A Cross Embodiment Foldable System with Force Feedback for Dexterous Teleoperation

Rui Yan, Jiajian Fu, Shiqi Yang, Lars Paulsen, Xuxin Cheng, Xiaolong Wang ยท 2025

Teleoperation systems are essential for efficiently collecting diverse and high-quality robot demonstration data, especially for complex, contact-rich tasks. However, current teleoperation platforms tโ€ฆ

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Engineering Preprint PDF DOI

Modeling and Physics-Enhanced Fault Detection in Wastewater Pump Stations

Katayoun Eshkofti, Henrik Sandberg, Mikael Nilsson, Matthieu Barreau ยท 2025

Monitoring wastewater pump stations is essential because they are critical infrastructure. However, monitoring is still often performed manually due to the lack of suitable algorithmic methods and datโ€ฆ

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Frequency-Aware Sparse Optimization for Diagnosing Grid Instabilities and Collapses

Swadesh Vhakta, Denis Osipov, Reetam Sen Biswas, Amritanshu Pandey, Seyyedali Hosseinalipour, Shimiao Li ยท 2025

This paper aims to proactively diagnose and manage frequency instability risks from a steady-state perspective, without the need for derivative-dependent transient modeling. Specifically, we jointly aโ€ฆ

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Engineering Preprint PDF DOI

Hierarchical Spatial-Frequency Aggregation for Spectral Deconvolution Imaging

Tao Lv, Daoming Zhou, Chenglong Huang, Chongde Zi, Linsen Chen, Xun Cao ยท 2025

Computational spectral imaging (CSI) achieves real-time hyperspectral imaging through co-designed optics and algorithms, but typical CSI methods suffer from a bulky footprint and limited fidelity. Theโ€ฆ

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Engineering Preprint PDF DOI

Learning-Based Multi-Stage Strategy for a Fixed-Wing Aircraft to Evade a Missile Detected at a Short Distance

Zhiguan Niu, Xiaochao Zhou, Hao Xiong ยท 2025

Missiles pose a major threat to aircraft in modern air combat. Advances in technology make them increasingly difficult to detect until they are close to the target and highly resistant to jamming. Theโ€ฆ

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