PyNNcml: A Python Package for Neural Network–Based Commercial Microwave Link Processing

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Hai Victor Habi
DOI: 10.5281/zenodo.18207735
Cited by: 0

Abstract

A python toolbox based on PyTorch which utilized neural network for rain estimation and classification from commercial microwave link (CMLs) data. This toolbox provides an implementation of algorithms for extracting rain-rate using neural networks and CMLs.

Fields of Study & Subjects

Precipitation Measurement and Analysis Hydrological Forecasting Using AI Radio Wave Propagation Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 January 2026