Sign Up to like & get
recommendations!
2
Published in 2023 at "National Science Review"
DOI: 10.1093/nsr/nwad125
Abstract: Data-driven machine learning is widely employed in the analysis of materials structure-activity relationship, performance optimization and materials design due to its superior ability to reveal latent data patterns and make accurate prediction. However, because of…
read more here.
Keywords:
machine;
data quantity;
machine learning;
quantity governance ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3051933
Abstract: The long range wide area network (LoRaWAN) is one of the enabling technologies for low power wide area (LPWA) networks. In LoRaWAN, a node transmits its packet to a gateway (GW) in an autonomous and…
read more here.
Keywords:
lorawan;
packet level;
packet;
data quantity ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3591839
Abstract: Federated learning (FL) has emerged as a promising approach for collaboratively training global models and classifiers without sharing private data. However, existing studies primarily focus on distinct methodologies for typical and personalized FL (tFL and…
read more here.
Keywords:
data quantity;
quantity aware;
aware regularization;
federated learning ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2936220
Abstract: Nearly all calibration/validation activities for the satellite ocean color missions have focused on data quality to produce data products of the highest quality (i.e., science quality) for climate-related research. Little attention, however, has been paid…
read more here.
Keywords:
data quality;
quality control;
quality;
data quantity ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.963629
Abstract: In recent years, temporal response function (TRF) analyses of non-invasive recordings of neural activity evoked by continuous naturalistic stimuli have become increasingly popular for characterizing response properties within the auditory hierarchy. However, despite this rise…
read more here.
Keywords:
quantity;
data quantity;
response function;
response ... See more keywords