Work

Modified xLSTM for Compression and Decompression of Multimodal Agricultural Data in Low-Resource Settings

Year: 2024

Type: conference-paper

Source: International Conference on Decision Aid Sciences and Applications (DASA)

DOI: 10.1109/dasa63652.2024.10836297

Authors: Nur Arifin Akbar, Biagio Lenzitti, Domenico Tegolo, Rahool Dembani, Clare S. Sullivan

Institutions: University of Palermo, SingularLogic (Greece), Agricultural University of Athens

Language: English

Topic: Advanced Data Compression Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: closed

OpenAlex ID: W4406523866

FWCI: 0.633

Cites: 33

Cited by: 3

Related to: 10