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

RTR: A Transformer-Based Lossless Crossover with Perfect Phase Alignment

Xiangying Li, Jiankuan Li, Yong Tang ยท 2025

This paper proposes a transformer-based lossless crossover method, termed Resonant Transformer Router (RTR), which achieves frequency separation while ensuring perfect phase alignment between low-freqโ€ฆ

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Engineering Preprint PDF DOI

Brain Tumor Detection Through Diverse CNN Architectures in IoT Healthcare Industries: Fast R-CNN, U-Net, Transfer Learning-Based CNN, and Fully Connected CNN

Mohsen Asghari Ilani, Yaser M. Banad ยท 2025

Artificial intelligence (AI)-powered deep learning has advanced brain tumor diagnosis in Internet of Things (IoT)-healthcare systems, achieving high accuracy with large datasets. Brain health is critiโ€ฆ

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Engineering Preprint PDF DOI

Hybrid Autonomy Framework for a Future Mars Science Helicopter

Luca Di Pierno, Robert Hewitt, Stephan Weiss, Roland Brockers ยท 2025

Autonomous aerial vehicles, such as NASA's Ingenuity, enable rapid planetary surface exploration beyond the reach of ground-based robots. Thus, NASA is studying a Mars Science Helicopter (MSH), an advโ€ฆ

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Engineering Preprint PDF DOI

Transient Stability Analysis of a Hybrid Grid-Forming and Grid-Following RES System Considering Multi-Mode Control Switching

Ruiyuan Zeng, Ruisheng Diao, Fangyuan Sun, Wangqianyun Tang, Junjie Li, Baorong Zhou ยท 2025

The inherent control switching of renewable energy sources (RESs) during intricate transient processes introduces complexity to the dynamic behavior of modern power systems. This paper reveals the dynโ€ฆ

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Engineering Preprint PDF DOI

Space-Time Coded RIS-Assisted Wireless Systems with Practical Reflection Models: Error Rate Analysis and Negative Moment-Based Optimization with Saddle Point Approximation

Tayfun Yilmaz, Haci Ilhan, Ibrahim Hokelek ยท 2025

RIS-assisted communication has recently attracted significant attention for enhancing wireless performance in challenging environments, making accurate error analysis under practical hardware constraiโ€ฆ

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Engineering Preprint PDF DOI

Graphon Signal Processing for Spiking and Biological Neural Networks

Takuma Sumi, Georgi S. Medvedev ยท 2025

Graph Signal Processing (GSP) extends classical signal processing to signals defined on graphs, enabling filtering, spectral analysis, and sampling of data generated by networks of various kinds. Grapโ€ฆ

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Engineering Preprint PDF DOI

Label Uncertainty for Ultrasound Segmentation

Malini Shivaram, Gautam Rajendrakumar Gare, Laura Hutchins, Jacob Duplantis, Thomas Deiss, Thales Nogueira Gomes, Thong Tran, Keyur H. Patel, Thomas H Fox, Amita Krishnan, Deva Ramanan, Bennett DeBoisblanc, Ricardo Rodriguez, John Galeotti ยท 2025

In medical imaging, inter-observer variability among radiologists often introduces label uncertainty, particularly in modalities where visual interpretation is subjective. Lung ultrasound (LUS) is a pโ€ฆ

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Engineering Preprint PDF DOI

EEG-MSAF: An Interpretable Microstate Framework uncovers Default-Mode Decoherence in Early Neurodegeneration

Mohammad Mehedi Hasan, Pedro G. Lind, Hernando Ombao, Anis Yazidi, Rabindra Khadka ยท 2025

Dementia (DEM) is a growing global health challenge, underscoring the need for early and accurate diagnosis. Electroencephalography (EEG) provides a non-invasive window into brain activity, but convenโ€ฆ

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Engineering Preprint PDF DOI

Besondere Anforderungen des automatisierten Fahrens an den Entwurf

Robert Graubohm, Markus Maurer ยท 2025

The development of automated vehicles and automated driving functions is an exceptionally complex task that requires the integration of numerous, sometimes conflicting interests and various constraintโ€ฆ

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Engineering Preprint PDF DOI

Learning Zero Constellations for Binary MOCZ in Fading Channels

Anthony Joseph Perre, Parker Huggins, Alphan Sahin ยท 2025

In this work, we propose two methods to design zero constellations for binary modulation on conjugate-reciprocal zeros (BMOCZ). In the first approach, we treat constellation design as a multi-label biโ€ฆ

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Engineering Preprint PDF DOI

Deep Learning Based Dynamic Environment Reconstruction for Vehicular ISAC Scenarios

Junzhe Song, Ruisi He, Mi Yang, Zhengyu Zhang, Bingcheng Liu, Jiahui Han, Haoxiang Zhang, Bo Ai ยท 2025

Integrated Sensing and Communication (ISAC) technology plays a critical role in future intelligent transportation systems, by enabling vehicles to perceive and reconstruct the surrounding environment โ€ฆ

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Engineering Preprint PDF DOI

A Comprehensive Framework for Uncertainty Quantification of Voxel-wise Supervised Models in IVIM MRI

Nicola Casali, Alessandro Brusaferri, Giuseppe Baselli, Stefano Fumagalli, Edoardo Micotti, Gianluigi Forloni, Riaz Hussein, Giovanna Rizzo, Alfonso Mastropietro ยท 2025

Accurate estimation of intravoxel incoherent motion (IVIM) parameters from diffusion-weighted MRI remains challenging due to the ill-posed nature of the inverse problem and high sensitivity to noise, โ€ฆ

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Engineering Preprint PDF DOI

Binaural Sound Event Localization and Detection based on HRTF Cues for Humanoid Robots

Gyeong-Tae Lee, Hyeonuk Nam, Yong-Hwa Park ยท 2025

This paper introduces Binaural Sound Event Localization and Detection (BiSELD), a task that aims to jointly detect and localize multiple sound events using binaural audio, inspired by the spatial hearโ€ฆ

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Engineering Preprint PDF DOI

PET Image Reconstruction Using Deep Diffusion Image Prior

Fumio Hashimoto, Kuang Gong ยท 2025

Diffusion models have shown great promise in medical image denoising and reconstruction, but their application to Positron Emission Tomography (PET) imaging remains limited by tracer-specific contrastโ€ฆ

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Engineering Preprint PDF DOI

Non-smooth optimization meets automated material model discovery

Moritz Flaschel, Trevor Hastie, Ellen Kuhl ยท 2025

Automated material model discovery disrupts the tedious and time-consuming cycle of iteratively calibrating and modifying manually designed models. Non-smooth L1-norm regularization is the backbone ofโ€ฆ

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Engineering Preprint PDF DOI

Efficient Discovery of Actual Causality in Stochastic Systems

Arshia Rafieioskouei, Kenneth Rogale, Borzoo Bonakdarpour ยท 2025

Identifying the actual cause of events in engineered systems is a fundamental challenge in system analysis. Finding such causes becomes more challenging in the presence of noise and stochastic behavioโ€ฆ

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Engineering Preprint PDF DOI

A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal $\left[^{18}\text{F}\right]$FDG PET imaging

Christian Salomonsen, Luigi T Luppino, Fredrik Aspheim, Kristoffer K. Wickstr{o}m, Elisabeth Wetzer, Michael C. Kampffmeyer, Rodrigo Berzaghi, Rune Sundset, Robert Jenssen, Samuel Kuttner ยท 2025

Dynamic positron emission tomography (PET) and kinetic modeling are pivotal in advancing tracer development research in small animal studies. Accurate kinetic modeling requires precise input function โ€ฆ

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Engineering Preprint PDF DOI

A Multi-Criteria Evaluation Framework for Siting Fusion Energy Facilities: Application and Evaluation of U.S. Coal Power Plants

Muhammad R. Abdussami, Kevin Daley, Gabrielle Hoelzle, Aditi Verma ยท 2025

This paper proposes a comprehensive methodology for siting fusion energy facilities, integrating expert judgment, geospatial data, and multi-criteria decision making tools to evaluate site suitabilityโ€ฆ

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Engineering Preprint PDF DOI

Machine Learning for Proactive Groundwater Management: Early Warning and Resource Allocation

Chuan Li, Ruoxuan Yang ยท 2025

Groundwater supports ecosystems, agriculture, and drinking water supplies worldwide, yet effective monitoring remains challenging due to sparse data, computational constraints, and delayed outputs froโ€ฆ

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Engineering Preprint PDF DOI

Feedback-MPPI: Fast Sampling-Based MPC via Rollout Differentiation -- Adios low-level controllers

Tommaso Belvedere (RAINBOW, IRISA), Michael Ziegltrum (UCL), Giulio Turrisi (IIT), Valerio Modugno (UCL) ยท 2025

Model Predictive Path Integral control is a powerful sampling-based approach suitable for complex robotic tasks due to its flexibility in handling nonlinear dynamics and non-convex costs. However, itsโ€ฆ

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