Work

HAC-M-DNN: Hardware Aware Compression of Sustainable Multimodal Deep Neural Networks for Efficient TinyML Deployment

Year: 2025

Type: conference-paper

Source: IEEE Conference on Technologies for Sustainability

DOI: 10.1109/sustech63138.2025.11025634

Authors: Hasib-Al Rashid, Eiman Kanjo, Tinoosh Mohsenin

Institutions: University of Maryland, Baltimore, Imperial College London, Nottingham Trent University, Johns Hopkins University

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Climate action, Responsible consumption and production

Open Access status: closed

OpenAlex ID: W4411233357

FWCI: 3.133

Cites: 9

Cited by: 4

Related to: 10