Work

Towards ARSPI-Net: development of an efficient hybrid deep learning framework

Year: 2023

Type: conference-paper

Source: IEEE Long Island Systems, Applications and Technology Conference (LISAT)

DOI: 10.1109/lisat58403.2023.10179592

Authors: Andrew Lane, Wendy Tang, Brady Nelson

Institution: Stony Brook University

Language: English

Topic: Neural Networks and Reservoir Computing

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4384345606

FWCI: 0.178

Cites: 16

Cited by: 1

Related to: 10