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๐Ÿ” nicolae tapus ๐Ÿ“‚ Engineering
Showing 86 results for "nicolae tapus" in Engineering
Engineering Preprint PDF DOI

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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Engineering Preprint PDF DOI

Radio Stripe-Based Distributed ISAC System with Dynamic Sensing-Communication Reconfiguration

Osmel Martinez Rosabal, Onel L. Alcaraz Lopez ยท 2026

Integrated sensing and communications (ISAC) has emerged as an intrinsic service of upcoming 6G wireless systems, enabling the reuse of communication signals for environmental sensing and supporting cโ€ฆ

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Engineering Preprint PDF DOI

LSTM-Based Power Delay Profile Predictions for Intra-Bus Wireless Propagation

Rajeev Shukla, Atharva Verma, Aniruddha Chandra, Ondrej Zeleny, Radek Zavorka, Jiri Blumenstein, Ales Prokes, Jaroslaw Wojtun, Jan M. Kelner, Cezary Ziolkowski, Domenico Ciuonzo ยท 2026

Longlshort-term memory (LSTM) is a deep learning model that can capture long-term dependencies of wireless channel models and is highly adaptable to short-term changes in a wireless environment. This โ€ฆ

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Engineering Preprint PDF DOI

In-Situ Timing Diagnosis of PDN and Configuration-Upset-Induced Routing Delay Degradation in SRAM-based FPGAs

Mostafa Darvishi ยท 2026

Timing degradation in SRAM-based FPGAs arises from multiple physical mechanisms that manifest differently in the routing fabric, most notably power-distribution-network (PDN) marginality and configuraโ€ฆ

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Engineering Preprint PDF DOI

Learning to Tune Pure Pursuit in Autonomous Racing: Joint Lookahead and Steering-Gain Control with PPO

Mohamed Elgouhary, Amr S. El-Wakeel ยท 2026

Pure Pursuit (PP) is widely used in autonomous racing for real-time path tracking due to its efficiency and geometric clarity, yet performance is highly sensitive to how key parameters-lookahead distaโ€ฆ

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Engineering Preprint PDF DOI

Hardware Acceleration for Neural Networks: A Comprehensive Survey

Bin Xu, Ayan Banerjee, Sandeep Gupta ยท 2025

Neural networks have become dominant computational workloads across cloud and edge platforms, but their rapid growth in model size and deployment diversity has exposed hardware bottlenecks increasinglโ€ฆ

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Engineering Preprint PDF DOI

Hybrid-Diffusion Models: Combining Open-loop Routines with Visuomotor Diffusion Policies

Jonne Van Haastregt, Bastian Orthmann, Michael C. Welle, Yuchong Zhang, Danica Kragic ยท 2025

Despite the fact that visuomotor-based policies obtained via imitation learning demonstrate good performances in complex manipulation tasks, they usually struggle to achieve the same accuracy and speeโ€ฆ

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Engineering Preprint PDF DOI

Let Me Show You: Learning by Retrieving from Egocentric Video for Robotic Manipulation

Yichen Zhu, Feifei Feng ยท 2025

Robots operating in complex and uncertain environments face considerable challenges. Advanced robotic systems often rely on extensive datasets to learn manipulation tasks. In contrast, when humans areโ€ฆ

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Engineering Preprint PDF DOI

A Structured Neural ODE Approach for Real Time Evaluation of AC Losses in 3D Superconducting Tapes

Riccardo Basei, Francesco Pase, Francesco Lucchini, Francesco Toso, Riccardo Torchio ยท 2025

Efficient modeling of High Temperature Superconductors (HTSs) is crucial for real-time quench monitoring; however, full-order electromagnetic simulations remain prohibitively costly due to the strong โ€ฆ

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Engineering Preprint PDF DOI

Large language model-empowered next-generation computer-aided engineering

Jiachen Guo, Chanwook Park, Dong Qian, Thomas J.R. Hughes, Wing Kam Liu ยท 2025

Software development has entered a new era where large language models (LLMs) now serve as general-purpose reasoning engines, enabling natural language interaction and transformative applications acroโ€ฆ

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Engineering Preprint PDF DOI

Human Body Weight Estimation Through Music-Induced Bed Vibrations

Yuyan Wu, Jiale Zhang, Moon Lee, Cherrelle Smith, Xinyi Li, Ankur Senapati, Pei Zhang, Hae Young Noh ยท 2025

Rapid and accurate body weight estimation is critical in emergency medical care, as it directly influences treatment decisions, such as drug dosing, defibrillation energy selection, and fluid resuscitโ€ฆ

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Engineering Preprint PDF DOI

Pointing-Guided Target Estimation via Transformer-Based Attention

Luca Muller, Hassan Ali, Philipp Allgeuer, Lukas Gajdosech, Stefan Wermter ยท 2025

Deictic gestures, like pointing, are a fundamental form of non-verbal communication, enabling humans to direct attention to specific objects or locations. This capability is essential in Human-Robot Iโ€ฆ

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Engineering Preprint PDF DOI

Accelerated Interactive Auralization of Highly Reverberant Spaces using Graphics Hardware

Hannes Rosseel, Toon van Waterschoot ยท 2025

Interactive acoustic auralization allows users to explore virtual acoustic environments in real-time, enabling the acoustic recreation of concert hall or Historical Worship Spaces (HWS) that are eitheโ€ฆ

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Engineering Preprint PDF DOI

Keypoint-based Diffusion for Robotic Motion Planning on the NICOL Robot

Lennart Clasmeier, Jan-Gerrit Habekost, Connor Gade, Philipp Allgeuer, Stefan Wermter ยท 2025

We propose a novel diffusion-based action model for robotic motion planning. Commonly, established numerical planning approaches are used to solve general motion planning problems, but have significanโ€ฆ

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Engineering Preprint PDF DOI

Experimental End-to-End Optimization of Directly Modulated Laser-based IM/DD Transmission

Sergio Hernandez, Christophe Peucheret, Francesco Da Ros, Darko Zibar ยท 2025

Directly modulated lasers (DMLs) are an attractive technology for short-reach intensity modulation and direct detection communication systems. However, their complex nonlinear dynamics make the modeliโ€ฆ

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Engineering Preprint PDF DOI

Exascale Implicit Kinetic Plasma Simulations on El~Capitan for Solving the Micro-Macro Coupling in Magnetospheric Physics

Stefano Markidis, Andong Hu, Ivy Peng, Luca Pennati, Ian Lumsden, Dewi Yokelson, Stephanie Brink, Olga Pearce, Thomas R.W. Scogland, Bronis R. de Supinski, Gian Luca Delzanno, Michela Taufer ยท 2025

Our fully kinetic, implicit Particle-in-Cell (PIC) simulations of global magnetospheres on up to 32,768 of El Capitan's AMD Instinct MI300A Accelerated Processing Units (APUs) represent an unprecedentโ€ฆ

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Engineering Preprint PDF DOI

Mixed-integer Second-Order Cone Programming for Multi-period Scheduling of Flexible AC Transmission System Devices

Mohamad Charara (Polytechnique Montreal, GERAD & MILA, Canada), Martin De Montigny (Hydro-Quebec, Canada), Nivine Abou Daher (Hydro-Quebec, Canada), Hanane Dagdougui (Polytechnique Montreal, GERAD & MILA, Canada), Antoine Lesage-Landry (Polytechnique Montreal, GERAD & MILA, Canada) ยท 2025

With the increasing energy demand and the growing integration of renewable sources of energy, power systems face operational challenges such as overloads, losses, and stability concerns, particularly โ€ฆ

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Engineering Preprint PDF DOI

Tensor-decomposition-based A Priori Surrogate (TAPS) modeling for ultra large-scale simulations

Jiachen Guo, Gino Domel, Chanwook Park, Hantao Zhang, Ozgur Can Gumus, Ye Lu, Gregory J. Wagner, Dong Qian, Jian Cao, Thomas J.R. Hughes, Wing Kam Liu ยท 2025

A data-free, predictive scientific AI model, Tensor-decomposition-based A Priori Surrogate (TAPS), is proposed for tackling ultra large-scale engineering simulations with significant speedup, memory sโ€ฆ

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Engineering Preprint PDF DOI

Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks

Lukas Gajdosech, Hassan Ali, Jan-Gerrit Habekost, Martin Madaras, Matthias Kerzel, Stefan Wermter ยท 2025

Datasets for object detection often do not account for enough variety of glasses, due to their transparent and reflective properties. Specifically, open-vocabulary object detectors, widely used in embโ€ฆ

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Engineering Preprint PDF DOI

Low Complexity Frequency Domain Nonlinear Self-Interference Cancellation for Flexible Duplex

Yonghwi Kim, Kai-Kit Wong, Jianzhong (Charlie) Zhang, Chan-Byoung Chae ยท 2025

Nonlinear self-interference (SI) cancellation is essential for mitigating the impact of transmitter-side nonlinearity on overall SI cancellation performance in flexible duplex systems, including in-baโ€ฆ

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