collaborators

5 papers

eess.SP2026

Service-Area Robust NOMA for Pinching Antennas Systems

Zoran Hadzi-Velkov, Slavche Pejoski, Jia Guo +2

Pinching-antenna systems (PASS) enable near-field beam focusing using radiating points along a dielectric waveguide, but coherent spherical-wave superposition makes their channels…

cs.IT2026

Spatially Robust Near-Field SWIPT Using Pinching Antennas: Rate-Energy Tradeoff Bounds

Zoran Hadzi-Velkov, Marija Poposka, Slavche Pejoski +1

Pinching Waveguide Antennas (PWAs) offer significant potential for simultaneous wireless information and power transfer (SWIPT) by enabling precise near-field energy focusing. Howe…

cs.LG2026

Leveraging Convolutional Sparse Autoencoders for Robust Movement Classification from Low-Density sEMG

Blagoj Hristov, Zoran Hadzi-Velkov, Katerina Hadzi-Velkova Saneva +2

Reliable control of myoelectric prostheses is often hindered by high inter-subject variability and the clinical impracticality of high-density sensor arrays. This study proposes a…

math.OC2024

Gradient Descent Methods for Regularized Optimization

Filip Nikolovski, Irena Stojkovska, Katerina Hadzi-Velkova Saneva +1

Regularization is a widely recognized technique in mathematical optimization. It can be used to smooth out objective functions, refine the feasible solution set, or prevent overfit…

cs.LG2024

Convergence Rate Maximization for Split Learning-based Control of EMG Prosthetic Devices

Matea Marinova, Daniel Denkovski, Hristijan Gjoreski +2

Split Learning (SL) is a promising Distributed Learning approach in electromyography (EMG) based prosthetic control, due to its applicability within resource-constrained environmen…