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๐Ÿ” rayan saab ๐Ÿ“‚ Engineering
Showing 136 results for "rayan saab" in Engineering
Engineering Preprint PDF DOI

Spherical Antenna Arrays for Future Communications: Principles, Applications, and Research Directions

Cunhua Pan, Xianzhe Chen, Hong Ren, Jiangzhou Wang ยท 2026

With the development of 6G technologies, traditional uniform linear arrays (ULAs) and uniform planar arrays (UPAs) can hardly meet the demands of three-dimensional (3D) full-space coverage and high anโ€ฆ

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Engineering Preprint PDF DOI

An Agentic Multi-Agent Architecture for Cybersecurity Risk Management

Ravish Gupta, Saket Kumar, Shreeya Sharma, Maulik Dang, Abhishek Aggarwal ยท 2026

Getting a real cybersecurity risk assessment for a small organization is expensive -- a NIST CSF-aligned engagement runs $15,000 on the low end, takes weeks, and depends on practitioners who are genuiโ€ฆ

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Engineering Preprint PDF DOI

Bayesian and Classical Feature Ranking for Interpretable BLDC Fault Diagnosis

Waldemar Bauer, Jerzy Baranowski ยท 2026

This paper compares Bayesian and classical feature ranking methods for interpretable fault diagnosis of brushless DC (BLDC) motors. Two Bayesian approaches, spike-and-slab and ARD logistic ranking, arโ€ฆ

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Engineering Preprint PDF DOI

GNN-DIP: Neural Corridor Selection for Decomposition-Based Motion Planning

Peng Xie, Yanlinag Huang, Wenyuan Wu, Amr Alanwar ยท 2026

Motion planning through narrow passages remains a core challenge: sampling-based planners rarely place samples inside these narrow but critical regions, and even when samples land inside a passage, thโ€ฆ

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Engineering Preprint PDF DOI

Joint Subcarrier Phase Recovery for Nonlinearity Mitigation

Marco Secondini, Stella Civelli ยท 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 amplificationโ€ฆ

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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 ยท 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 speโ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Assessment of Concrete Slab Integrity via Impact-Echo Signals and Neural Networks

Yeswanth Ravichandran, Duoduo Liao, Charan Teja Kurakula ยท 2025

Subsurface defects such as delamination, voids, and honeycombing critically affect the durability of concrete bridge decks but are difficult to detect reliably using visual inspection or manual soundiโ€ฆ

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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 ยท 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. Inspireโ€ฆ

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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 ยท 2025

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

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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 ยท 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 variatioโ€ฆ

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Engineering Preprint PDF DOI

EEND-SAA: Enrollment-Less Main Speaker Voice Activity Detection Using Self-Attention Attractors

Wen-Yung Wu, Pei-Chin Hsieh, Tai-Shih Chi ยท 2025

Voice activity detection (VAD) is essential in speech-based systems, but traditional methods detect only speech presence without identifying speakers. Target-speaker VAD (TS-VAD) extends this by detecโ€ฆ

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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 ยท 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 proโ€ฆ

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Engineering Preprint PDF DOI

Green Learning for STAR-RIS mmWave Systems with Implicit CSI

Yu-Hsiang Huang, Po-Heng Chou, Wan-Jen Huang, Walid Saad, C.-C. Jay Kuo ยท 2025

In this paper, a green learning (GL)-based precoding framework is proposed for simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-aided millimeter-wave (mmWave) Mโ€ฆ

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Engineering Preprint PDF DOI

Polynomial Closed Form Model for Ultra-Wideband Transmission Systems

Pierluigi Poggiolini, Yanchao Jiang, Yifeng Gao, Fabrizio Forghieri ยท 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 Cโ€ฆ

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Engineering Preprint PDF DOI

MIND: A Noise-Adaptive Denoising Framework for Medical Images Integrating Multi-Scale Transformer

Tao Tang, Chengxu Yang ยท 2025

The core role of medical images in disease diagnosis makes their quality directly affect the accuracy of clinical judgment. However, due to factors such as low-dose scanning, equipment limitations andโ€ฆ

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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 ยท 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 fibeโ€ฆ

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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 ยท 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 liโ€ฆ

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Engineering Preprint PDF DOI

Digital and Robotic Twinning for Validation of Proximity Operations and Formation Flying

Z. Ahmed, E. Bates, P. Francesch Huc, S. Y. W. Low, A. Golan, T. Bell, A. Rizza, S. D'Amico ยท 2025

Spacecraft Rendezvous, Proximity Operations (RPO), and Formation Flying (FF) rely on safety-critical guidance, navigation and control (GNC) that must satisfy stringent performance and robustness requiโ€ฆ

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Engineering Preprint PDF DOI

DeSamba: Decoupled Spectral Adaptive Framework for 3D Multi-Sequence MRI Lesion Classification

Dezhen Wang, Sheng Miao, Rongxin Chai, Jiufa Cui ยท 2025

Magnetic Resonance Imaging (MRI) sequences provide rich spatial and frequency domain information, which is crucial for accurate lesion classification in medical imaging. However, effectively integratiโ€ฆ

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Engineering Preprint PDF DOI

Dual State-space Fidelity Blade (D-STAB): A Novel Stealthy Cyber-physical Attack Paradigm

Jiajun Shen, Hao Tu, Fengjun Li, Morteza Hashemi, Di Wu, Huazhen Fang ยท 2025

This paper presents a novel cyber-physical attack paradigm, termed the Dual State-Space Fidelity Blade (D-STAB), which targets the firmware of core cyber-physical components as a new class of attack sโ€ฆ

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