Balázs Renczes

Associate Professor

Budapest University of Technology and Economics

Hungary

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About

Dr. Balázs Renczes is an Associate Professor at the Budapest University of Technology and Economics in Hungary. His research focuses on areas such as clock synchronization control, sinewave fitting, nonlinear system identification, and artificial neural networks. He has contributed to the field through recent publications that explore advanced computational techniques and methodologies in these domains.

Articles (5)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2021

Collaborators (2)

Tamas Kovacshazy

Associate Professor

Budapest University of Technology and Economics

HUNGARY

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Paolo Carbone

Prof.

University of Perugia

ITALY

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Balázs Renczes

Research Interests

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Articles (5)

Sinewave Fitting Based on Quantization Codes and Threshold Levels

Ramp Rate Resilient Clock Synchronization Control in IEEE 1588 Networks Using Kalman Filtering

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification

Floating-Point Quantization Analysis of Multi-Layer Perceptron Artificial Neural Networks

A computationally efficient non‐iterative four‐parameter sine fitting method

Collaborators (2)

Tamas Kovacshazy

Paolo Carbone

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