paper: doi:10.1109/tetc.2023.3322033

Ingested works. lom_id is the stable key (doi: or arxiv:). OpenAlex/S2/arXiv ids when found; never fabricated.

Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository

This data as json

lom_id	doi	openalex	s2_paper_id	arxiv	pmid	pmcid	acl	title	year	venue	oa_url	ingested_ts	source
doi:10.1109/tetc.2023.3322033	10.1109/tetc.2023.3322033	W4387490516						Enhancing Neural Architecture Search With Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices	2023	IEEE Transactions on Emerging Topics in Computing	https://arxiv.org/pdf/2310.07217	2026-09-02T02:37:09Z	openalex

Links from other tables