Work

Data-Efficient Supervised Learning for RF and mm-Wave Circuit Design: Techniques, Challenges, and Benefits

Year: 2025

Type: conference-paper

Source: IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC)

DOI: 10.1109/apwc65665.2025.11190414

Author: Hamidreza Aghasi

Institution: University of California, Irvine

Language: English

Topic: Radio Frequency Integrated Circuit Design

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4415125696

FWCI:

Cites: 2

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