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๐Ÿ” florian huc ๐Ÿ“‚ Engineering
Showing 1820 results for "florian huc" in Engineering
Engineering Preprint PDF DOI

Accelerating Sparse Linear Solvers with an Optical Laser Processing Unit

Dan Gluck, Yotam Mimran, Andrey Karenskih, Talya Vaknin, Omri Wolf, Ruti Ben-Shlomi, Johannes Gebert ยท 2026

Solving large, sparse linear systems is a fundamental workload in scientific computing and engineering simulations, often dominating runtime and energy consumption in high-performance computing (HPC) โ€ฆ

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Engineering Preprint PDF DOI

Guiding Vector Field Generation via Score-based Diffusion Model

Zirui Chen, Shiliang Guo, Shiyu Zhao ยท 2026

Guiding Vector Fields (GVFs) are a powerful tool for robotic path following. However, classical methods assume smooth, ordered curves and fail when paths are unordered, multi-branch, or generated by pโ€ฆ

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Engineering Preprint PDF DOI

Triple-Phase Sequential Fusion Network for Hepatobiliary Phase Liver MRI Synthesis

Qiuli Wang, Xinhuan Sun, Fengxi Chen, Yongxu Liu, Jie Cheng, Lin Chen, Jiafei Chen, Yue Zhang, Xiaoming Li, Wei Chen ยท 2026

Gadoxetate disodium-enhanced MRI is essential for the detection and characterization of hepatocellular carcinoma. However, acquisition of the hepatobiliary phase (HBP) requires a prolonged post-contraโ€ฆ

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Engineering Preprint PDF DOI

Scaling of Gaussian Kolmogorov--Arnold Networks

Amir Noorizadegan, Sifan Wang ยท 2026

The Gaussian scale parameter \(\epsilon\) is central to the behavior of Gaussian Kolmogorov--Arnold Networks (KANs), yet its role in deep edge-based architectures has not been studied systematically. โ€ฆ

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Engineering Preprint PDF DOI

An Explainable Approach to Document-level Translation Evaluation with Topic Modeling

Hyeokmin Lee, Youngkyu Kim, Byounghyun Yoo ยท 2026

The advent of NMT has expanded the scope of translation beyond isolated sentences, enabling context to be preserved across paragraphs and documents. However, current evaluation metrics largely remain โ€ฆ

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Engineering Preprint PDF DOI

Scenario-Based Stochastic MPC for Energy Hubs with EV Fleets Under Persistent Grid Outages

Kobena Badu Enyam, Cara Koepele, Timothy Asare, Kevin Wallington, John Lygeros ยท 2026

Emissions reduction and resilience to outages motivate the adoption of renewable microgrids. Surprisingly, research integrating both probabilistic grid outages and electric vehicle (EV) charging requiโ€ฆ

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Engineering Preprint PDF DOI

Physics-Aware Query-Conditioned Graph Attention Networks for Radio Map Estimation

Ang Li, Chengyu Liu, Yue Wang ยท 2026

Radio map estimation from sparse measurements is fundamental to wireless network planning, optimization, and localized map updating. Most recent learning-based approaches formulate the problem as densโ€ฆ

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ORCA -- Online Regime Correlation Analyzer

Boris Kriuk, Fedor Kriuk ยท 2026

Standard risk models reduce the rich dependence structure of financial markets to scalar volatility estimates, discarding the topological information encoded in cross-asset correlation networks. We prโ€ฆ

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Engineering Preprint PDF DOI

MM-Hand: A 21-DOF Multi-modal Modular Dexterous Robotic Hand with Remote Actuation

Zhuoheng Li, Qingquan Lin, Checheng Yu, Qiangyu Chen, Zhiqian Lan, Lutong Zhang, Hongyang Li, Ping Luo ยท 2026

High-DOF dexterous hands require compact actuation, rich sensing, and reliable thermal behavior, but conventional designs often occupy valuable in-hand space, increase end-effector mass, and suffer frโ€ฆ

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Engineering Preprint PDF DOI

Benchmarking Classical Coverage Path Planning Heuristics on Irregular Hexagonal Grids for Maritime Coverage Scenarios

Carlos S. Sepulveda, Gonzalo A. Ruz ยท 2026

Coverage path planning on irregular hexagonal grids is relevant to maritime surveillance, search and rescue and environmental monitoring, yet classical methods are often compared on small ad hoc exampโ€ฆ

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Classical Machine Learning Baselines for Deepfake Audio Detection on the Fake-or-Real Dataset

Faheem Ahmad, Ajan Ahmed, Masudul Imtiaz ยท 2026

Deep learning has enabled highly realistic synthetic speech, raising concerns about fraud, impersonation, and disinformation. Despite rapid progress in neural detectors, transparent baselines are needโ€ฆ

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Early-Warning Learner Satisfaction Forecasting in MOOCs via Temporal Event Transformers and LLM Text Embeddings

Anna Kowalczyk, Jakub Kowalski ยท 2026

Learner satisfaction is a critical quality signal in massive open online courses (MOOCs), directly influencing retention, engagement, and platform reputation. Most existing methods infer satisfaction โ€ฆ

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Engineering Preprint PDF DOI

Probabilistic Feature Imputation and Uncertainty-Aware Multimodal Federated Aggregation

Nafis Fuad Shahid, Maroof Ahmed, Md Akib Haider, Saidur Rahman Sagor, Aashnan Rahman, Md Azam Hossain ยท 2026

Multimodal federated learning enables privacy-preserving collaborative model training across healthcare institutions. However, a fundamental challenge arises from modality heterogeneity: many clinicalโ€ฆ

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Machine Learning-Based Real-Time Detection of Compensatory Trunk Movements Using Trunk-Wrist Inertial Measurement Units

Jannis Gabler, Clement Lhoste, Max Quast, Laura Mayrhuber, Andrea Ronco, Olivier Lambercy, Paulius Viskaitis, Dane Donegan ยท 2026

Compensatory trunk movements (CTMs) are commonly observed after stroke and can lead to maladaptive movement patterns, limiting targeted training of affected structures. Objective, continuous detectionโ€ฆ

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CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability

Utsho Kumar Dey ยท 2026

Pneumonia remains a leading cause of childhood mortality worldwide, with a heavy burden in low-resource settings such as Bangladesh where radiologist availability is limited. Most existing deep learniโ€ฆ

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Ternary Logic Encodings of Temporal Behavior Trees with Application to Control Synthesis

Ryan Matheu, John S. Baras, Calin Belta ยท 2026

Behavior Trees (BTs) provide designers an intuitive graphical interface to construct long-horizon plans for autonomous systems. To ensure their correctness and safety, rigorous formal models and verifโ€ฆ

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Dynamic Multi-Robot Task Allocation under Uncertainty and Communication Constraints: A Game-Theoretic Approach

Maria G. Mendoza, Pan-Yang Su, Bryce L. Ferguson, S. Shankar Sastry ยท 2026

We study dynamic multi-robot task allocation under uncertain task completion, time-window constraints, and incomplete information. Tasks arrive online over a finite horizon and must be completed withiโ€ฆ

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Deep Learning-Based Physical Layer Authentication Using 5G NR Sounding Reference Signals: A Temporal Generalization Study on Real Testbed Data

Sachinkumar B. Mallikarjun, Marvin Reski, Andreas Weinand, Hans D. Schotten ยท 2026

Physical Layer Authentication (PLA) exploits the spatial uniqueness of wireless channel characteristics in order to authenticate devices without recourse to higher-layer cryptographic protocols, whichโ€ฆ

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Impact of Validation Strategy on Machine Learning Performance in EEG-Based Alcoholism Classification

Tahir Cetin Akinci, Yuksel Celik, Omer Faruk Ertugrul ยท 2026

Electroencephalography provides a non-invasive and cost-effective approach for analyzing neural patterns associated with alcohol dependence. However, reported classification performance in EEG-based aโ€ฆ

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AMO-ENE: Attention-based Multi-Omics Fusion Model for Outcome Prediction in Extra Nodal Extension and HPV-associated Oropharyngeal Cancer

Gautier Henique, William Le, Gabriel Dayan, Coralie Brodeur, Kristoff Nelson, Apostolos Christopoulos, Edith Filion, Phuc-Felix Nguyen-Tan, Laurent Letourneau-Guillon, Houda Bahig, Samuel Kadoury ยท 2026

Extranodal extension (ENE) is an emerging prognostic factor in human papillomavirus (HPV)-associated oropharyngeal cancer (OPC), although it is currently omitted as a clinical staging criteria. Recentโ€ฆ

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