Work

KAN-Based Interpretable Radio Map Prediction Framework With Symbolic Data Fusion

Year: 2025

Type: article

Source: IEEE Transactions on Cognitive Communications and Networking

DOI: 10.1109/tccn.2025.3603700

Authors: Cunyi Liao, Xinyue Ge, Mingjian He, Yi Zheng, Shouyin Liu

Institutions: Central China Normal University, Jianghan University

Language: English

Topic: Cognitive Radio Networks and Spectrum Sensing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Postdoctoral Science Foundation of Hubei Province, China Postdoctoral Science Foundation, Natural Science Foundation of Hubei Province, Foundation for Innovative Research Groups of the National Natural Science Foundation of China, Key Research and Development Program of Sichuan Province

Awards: G1209701320, G2551458465, G5895579806, G6538468982, G6608461546, G83389794

OpenAlex ID: W4413822047

FWCI: 1.311

Cites: 43

Cited by: 3

Related to: 10