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๐Ÿ” marc claesen ๐Ÿ“‚ Engineering
Showing 1961 results for "marc claesen" 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

Bridging the Indoor-Outdoor Gap: Cross-Technology Ranging for Seamless Robot Navigation

Paul Schwarzbach ยท 2026

Mobile robots that move between outdoor and indoor environments still struggle with consistent positioning. Satellite-based and terrestrial ranging each work well in their home domains, but combining โ€ฆ

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Engineering Preprint PDF DOI

Single-Cycle Multidirectional EOG Classification Faster than Human Reaction Time for Wearable Human-Computer Interactions

Tasnia Nabiha, Orthy Toor, Wakim Sajjad Sakib, Abdullah Bin Shams ยท 2026

Electrooculogram (EOG) is a non-invasive bio-signal generated by the potential difference between the retina and cornea during eye movement, and is widely utilized in Human-Computer Interaction (HCI) โ€ฆ

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Engineering Preprint PDF DOI

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

Yanze Xu, Wenwu Wang, Mark D. Plumbley ยท 2026

Neural networks can be trained to learn task-relevant representations from data. Understanding how these networks make decisions falls within the Explainable AI (XAI) domain. This paper proposes to stโ€ฆ

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A Hidden Markov Framework for Physically Interpretable Arc Stability Dynamics in Welding Systems

Hidir Selcuk Nogay ยท 2026

Electric arc welding (EAW) exhibits strongly non stationary and temporally evolving behavior, making reliable assessment of arc stability difficult using conventional frame based approaches. In this sโ€ฆ

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Engineering Preprint PDF DOI

A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems

Mohsen Jalaeian Farimani, Roya Khalili Amirabadi, Davoud Nikkhouy, Malihe Abdolbaghi, Mahshad Rastegarmoghaddam, Shima Samadzadeh ยท 2026

The integration of Model Predictive Control (MPC) and Reinforcement Learning (RL) has emerged as a promising paradigm for constrained decision-making and adaptive control. MPC offers structured optimiโ€ฆ

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Quantitative Verification of Finite-Time Constrained Occupation Measures for Continuous-time Stochastic Systems

Bai Xue, C.-H. Luke Ong ยท 2026

This paper addresses the quantitative verification of finite-time constrained occupation time for stochastic continuous-time systems governed by stochastic differential equations (SDEs). Unlike classiโ€ฆ

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Engineering Preprint PDF DOI

A Hybrid STFT-Based Machine Learning Framework for Physically Interpretable Arc Stability Classification in Electric Arc Welding Systems

Tahir Cetin Akinci, Gokhan Gokmen, Alfredo A. Martinez-Morales ยท 2026

This study presents a physically informed hybrid time-frequency and machine learning (STFT-ML) framework for arc stability monitoring in electric arc welding systems. The primary current signal is modโ€ฆ

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Engineering Preprint PDF DOI

Stealthy Cyber-Attacks on Vehicle Lateral Dynamics: A System-Theoretic Analysis

Ali Eslami, Jiangbo Yu, Mohammad Pirani ยท 2026

This paper studies the vehicle bicycle model under three classes of stealthy cyber-attacks: replay attacks, zero dynamics attacks, and covert attacks. Using a system-theoretic framework, we analyze thโ€ฆ

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When structure does not imply symmetry

Skyler R. St. Pierre, Thibault Vervenne, Ethan C. Darwin, Ellen Kuhl ยท 2026

Fungal protein materials exhibit inherently anisotropic microstructures formed by networks of hyphae, which suggest a natural pathway to replicate the fibrous texture of animal meat. We probe whether โ€ฆ

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ProtoAoA: Few-Shot Angle-of-Arrival Estimation using Prototypical Networks

Elsayed Mohammed, Omar Mashaal, Alec Digby, Pasquale Leone, Lorne Swersky, Ashkan Eshaghbeigi, Hatem Abou-Zeid ยท 2026

Angle-of-arrival (AoA) estimation is a crucial function in wireless communications used for localization, beam-forming, interference management, and other applications. Deep learning (DL) solutions haโ€ฆ

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Engineering Preprint PDF DOI

Homotopy-Guided Potential Games for Congestion-Aware Navigation

Mohammed Irshadh Ismaaeel Sathyamangalam Imran, Lasse Peters, Michael Khayyat, Stefano Arrigoni, Francesco Braghin, Laura Ferranti ยท 2026

We address the multi-agent motion planning problem where interactions, collisions, and congestion co-exist. Conventional game-theoretic planners capture interactions among agents but often converge toโ€ฆ

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From Brain Models to Executable Digital Twins: Execution Semantics and Neuro-Neuromorphic Systems

Alexandre Muzy (ILLS) ยท 2026

Brain digital twins aim to provide faithful, individualized computational representations of brains as dynamical systems, enabling mechanistic understanding and supporting prediction of clinical interโ€ฆ

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Learning Class Difficulty in Imbalanced Histopathology Segmentation via Dynamic Focal Attention

Lakmali Nadeesha Kumari, Sen-Ching Samson Cheung ยท 2026

Semantic segmentation of histopathology images under class imbalance is typically addressed through frequency-based loss reweighting, which implicitly assumes that rare classes are difficult. However,โ€ฆ

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StreamMark: A Deep Learning-Based Semi-Fragile Audio Watermarking for Proactive Deepfake Detection

Zhentao Liu, Milos Cernak ยท 2026

The rapid advancement of generative AI has made it increasingly challenging to distinguish between deepfake audio and authentic human speech. To overcome the limitations of passive detection methods, โ€ฆ

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Micro-Dexterity in Biological Micromanipulation: Embodiment, Perception, and Control

Kangyi Lu, Lan Wei, Zongcai Tan, Dandan Zhang ยท 2026

Microscale manipulation has advanced substantially in controlled locomotion and targeted transport, yet many biomedical applications require precise and adaptive interaction with biological micro-objeโ€ฆ

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Block Diagram Analysis of a Design Principle for Amplitude-Frequency Profiles in Biological Oscillations

Sidhanta Mohanty, Shaunak Sen ยท 2026

An important design principle for biological oscillators divides the oscillators into two classes: fixed frequency, variable amplitude and fixed amplitude, variable frequency. Because of the interplayโ€ฆ

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Trajectory-based actuator identification via differentiable simulation

Vyacheslav Kovalev, Ekaterina Chaikovskaia, Egor Davydenko, Roman Gorbachev ยท 2026

Accurate actuation models are critical for bridging the gap between simulation and real robot behavior, yet obtaining high-fidelity actuator dynamics typically requires dedicated test stands and torquโ€ฆ

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Fail2Drive: Benchmarking Closed-Loop Driving Generalization

Simon Gerstenecker, Andreas Geiger, Katrin Renz ยท 2026

Generalization under distribution shift remains a central bottleneck for closed-loop autonomous driving. Although simulators like CARLA enable safe and scalable testing, existing benchmarks rarely meaโ€ฆ

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Learning over Forward-Invariant Policy Classes: Reinforcement Learning without Safety Concerns

Chieh Tsai, Muhammad Junayed Hasan Zahed, Salim Hariri, Hossein Rastgoftar ยท 2026

This paper proposes a safe reinforcement learning (RL) framework based on forward-invariance-induced action-space design. The control problem is cast as a Markov decision process, but instead of relyiโ€ฆ

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