Expertini Research Research

Browse Research Papers

147+ open-access research outputs.

✕ Clear
🔍 arman yousefi 📂 Engineering
Showing 147 results for "arman yousefi" in Engineering
Engineering Preprint PDF DOI

Learning to Forget -- Hierarchical Episodic Memory for Lifelong Robot Deployment

Leonard Barmann, Joana Plewnia, Alex Waibel, Tamim Asfour · 2026

Robots must verbalize their past experiences when users ask "Where did you put my keys?" or "Why did the task fail?" Yet maintaining life-long episodic memory (EM) from continuous multimodal perceptio…

Read Paper →
Engineering Preprint PDF DOI

MC-GenRef: Annotation-free mammography microcalcification segmentation with generative posterior refinement

Hyunwoo Cho, Yeeun Kwon, Min Jung Kim, Yangmo Yoo · 2026

Microcalcification (MC) analysis is clinically important in screening mammography because clustered puncta can be an early sign of malignancy, yet dense MC segmentation remains challenging: targets ar…

Read Paper →
Engineering Preprint PDF DOI

A coupled Aeroelastic-Flight Dynamic Framework for Free-Flying Flexible Aircraft with Gust Interactions

Nikolaos D. Tantaroudas, Ilias Karachalios · 2026

A complete, self-contained mathematical framework for modelling the coupled aeroelastic and flight dynamic behaviour of free-flying flexible aircraft subject to atmospheric gust encounters is presente…

Read Paper →
Engineering Preprint PDF DOI

Model Reference Adaptive Control For Gust Load Allevation of Nonlinear Aeroelastic

Nikolaos D. Tantaroudas, Guanqun Gai, Ilias Karachalios · 2026

Model Reference Adaptive Control based on Lyapunov stability theory is developed for gust load alleviation of nonlinear aeroelastic systems. The controller operates on a nonlinear reduced-order model …

Read Paper →
Engineering Preprint PDF DOI

Joint Subcarrier Phase Recovery for Nonlinearity Mitigation

Marco Secondini, Stella Civelli · 2026

We propose a low-complexity phase recovery scheme that simultaneously mitigates laser phase noise and fiber nonlinearity across several subcarriers. In a long single-span link with Raman amplification…

Read Paper →
Engineering Preprint PDF DOI

RamanSeg: Interpretability-driven Deep Learning on Raman Spectra for Cancer Diagnosis

Chris Tomy, Mo Vali, David Pertzborn, Tammam Alamatouri, Anna Muhlig, Orlando Guntinas-Lichius, Anna Xylander, Eric Michele Fantuzzi, Matteo Negro, Francesco Crisafi, Pietro Lio, Tiago Azevedo · 2026

Histopathology, the current gold standard for cancer diagnosis, involves the manual examination of tissue samples after chemical staining, a time-consuming process requiring expert analysis. Raman spe…

Read Paper →
Engineering Preprint PDF DOI

Rapid and Accurate Changepoint Detection of Power System Forced Oscillations

Luke Dosiek, Akaash Karn, Frank Liu · 2025

This paper describes a new approach for using changepoint detection (CPD) to estimate the starting and stopping times of a forced oscillation (FO) in measured power system data. As with a previous app…

Read Paper →
Engineering Preprint PDF DOI

A Fractional Variational Approach to Spectral Filtering Using the Fourier Transform

Nelson H. T. Lemes, Jose Claudinei Ferreira, Higor V. M. Ferreira · 2025

The interference of fluorescence signals and noise remains a significant challenge in Raman spectrum analysis, often obscuring subtle spectral features that are critical for accurate analysis. Inspire…

Read Paper →
Engineering Preprint PDF DOI

Rock Classification through Knowledge-Enhanced Deep Learning: A Hybrid Mineral-Based Approach

Iye Szin Ang, Martin Johannes Findl, Elisabeth Hauzinger, Klaus Philipp Sedlazeck, Jyrki Savolainen, Ronald Bakker, Robert Galler, Elmar Rueckert · 2025

Automated rock classification from mineral composition presents a significant challenge in geological applications, with critical implications for material recycling, resource management, and industri…

Read Paper →
Engineering Preprint PDF DOI

Transfer Learning-Enabled Efficient Raman Pump Tuning under Dynamic Launch Power for C+L Band Transmission

Jiaming Liu, Rui Wang, JinJiang Li, Hong Lin, Jing Zhang, Kun Qiu · 2025

We propose a transfer learning-enabled Transformer framework to simultaneously realize accurate modeling and Raman pump design in C+L-band systems. The RMSE for modeling and peak-to-peak GSNR variatio…

Read Paper →
Engineering Preprint PDF DOI

A General Nonlinear Model for Arbitrary Modulation Formats in the Presence of Inter-Channel Simulated Raman Scattering

Zhiwei Liang, Bin Chen, Jiwei Xu, Yi Lei, Qingqing Hu, Fan Zhang, Gabriele Liga · 2025

The four-dimensional nonlinear model is extended to include the inter-channel stimulated Raman scattering, enabling accurate prediction of dual-polarization four-dimensional modulation formats and pro…

Read Paper →
Engineering Preprint PDF DOI

Polynomial Closed Form Model for Ultra-Wideband Transmission Systems

Pierluigi Poggiolini, Yanchao Jiang, Yifeng Gao, Fabrizio Forghieri · 2025

Ultrafast and accurate physical layer models are essential for designing, optimizing and managing ultra-wideband optical transmission systems. We present a closed-form GN/EGN model, named Polynomial C…

Read Paper →
Engineering Preprint PDF DOI

Recursive Experiment Design for Closed-Loop Identification with Output Perturbation Limits

Jingwei Hu, Dave Zachariah, Torbjorn Wigren, Petre Stoica · 2025

In many applications, system identification experiments must be performed under output feedback to ensure safety or to maintain system operation. In this paper, we consider the online design of inform…

Read Paper →
Engineering Preprint PDF DOI

Closed-form Expression for the Power Profile in Wideband Systems with Inter-channel Stimulated Raman Scattering

Lucas Alves Zischler, Chiara Lasagni, Paolo Serena, Alberto Bononi, Giammarco Di Sciullo, Divya A. Shaji, Antonio Mecozzi, Cristian Antonelli · 2025

Wideband systems experience significant inter-channel stimulated Raman scattering (ISRS) and channel-dependent losses. Due to the non-uniform attenuation profile, the combined effects of ISRS and fibe…

Read Paper →
Engineering Preprint PDF DOI

Measurement and Analysis of the Power Consumption of Hybrid-Amplified SCL-band Links

Ronit Sohanpal, Jiaqian Yang, Eric Sillekens, Henrique Buglia, Mingming Tan, Dini Pratiwi, Robert I. Killey, Polina Bayvel · 2025

We studied the power consumption of hybrid-amplified SCL-band links using commercial benchtop amplifiers and Raman pumps. We show a reduction in energy per bit for multi-span hybrid Raman amplified li…

Read Paper →
Engineering Preprint PDF DOI

QHARMA-GAN: Quasi-Harmonic Neural Vocoder based on Autoregressive Moving Average Model

Shaowen Chen, Tomoki Toda · 2025

Vocoders, encoding speech signals into acoustic features and allowing for speech signal reconstruction from them, have been studied for decades. Recently, the rise of deep learning has particularly dr…

Read Paper →
Engineering Preprint PDF DOI

Autoregressive Meta-Actions for Unified Controllable Trajectory Generation

Jianbo Zhao, Taiyu Ban, Xiyang Wang, Qibin Zhou, Hangning Zhou, Zhihao Liu, Mu Yang, Lei Liu, Bin Li · 2025

Controllable trajectory generation guided by high-level semantic decisions, termed meta-actions, is crucial for autonomous driving systems. A significant limitation of existing frameworks is their rel…

Read Paper →
Engineering Preprint PDF DOI

PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning

Yeonkyung Lee, Woojung Han, Youngjun Jun, Hyeonmin Kim, Jungkyung Cho, Seong Jae Hwang · 2025

Retinal foundation models have significantly advanced retinal image analysis by leveraging self-supervised learning to reduce dependence on labeled data while achieving strong generalization. Many rec…

Read Paper →
Engineering Preprint PDF DOI

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders

Pengju Ren, Ri-gui Zhou, Yaochong Li · 2025

Raman spectroscopy serves as a powerful and reliable tool for analyzing the chemical information of substances. The integration of Raman spectroscopy with deep learning methods enables rapid qualitati…

Read Paper →
Engineering Preprint PDF DOI

Data-driven Fuzzy Control for Time-Optimal Aggressive Trajectory Following

August Phelps, Juan Augusto Paredes Salazar, Ankit Goel · 2025

Optimal trajectories that minimize a user-defined cost function in dynamic systems require the solution of a two-point boundary value problem. The optimization process yields an optimal control sequen…

Read Paper →
Page 1 of 8 Next →