Symptom profiling for infectious intestinal disease (IID): a secondary data analysis of the IID2 study
Sign Up to like & getrecommendations! Published in 2019 at "Epidemiology and Infection"
DOI: 10.1017/s0950268819001201
Abstract: Abstract Less than half of stool samples from people symptomatic with infectious intestinal disease (IID) will identify a causative organism. A secondary data analysis was undertaken to explore whether symptomology alone could be used to… read more here.
Keywords: intestinal disease; secondary data; iid; infectious intestinal ... See more keywords
Improving fiber alignment by increasing the planar conformation of isoindigo-based conjugated polymers
Sign Up to like & getrecommendations! Published in 2017 at "Materials Chemistry Frontiers"
DOI: 10.1039/c6qm00024j
Abstract: The macroscopic alignment of conjugated polymers with few grain boundaries is essential for carrier transport. It is well known that molecular conformation has a big role in achieving macroscopic alignment. Therefore, in this paper, a… read more here.
Keywords: conjugated polymers; conformation; iid bdt; isoindigo based ... See more keywords
Resource-Efficient Federated Learning With Non-IID Data: An Auction Theoretic Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3197317
Abstract: Federated learning (FL) has gained significant importance for intelligent applications, following data produced on a massive scale by numerous distributed IoT devices. From an FL perspective, the key aspect is that this data is not… read more here.
Keywords: resource efficient; non iid; iid data; auction ... See more keywords
Adaptive Federated Learning on Non-IID Data with Resource Constraint
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2021.3099723
Abstract: Federated learning (FL) has been widely recognized as a promising approach by enabling individual end-devices to cooperatively train a global model without exposing their own data. One of the key challenges in FL is the… read more here.
Keywords: non iid; federated learning; iid data; model ... See more keywords
Joint User Association and Resource Allocation for Wireless Hierarchical Federated Learning with IID and Non-IID Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2022.3162595
Abstract: In this work, hierarchical federated learning (HFL) over wireless multi-cell networks is proposed for large-scale model training while preserving data privacy. However, the imbalanced data distribution has a significant impact on the convergence rate and… read more here.
Keywords: wireless; user association; non iid; resource allocation ... See more keywords
LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data
Sign Up to like & getrecommendations! Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0230706
Abstract: Intensive care data are valuable for improvement of health care, policy making and many other purposes. Vast amount of such data are stored in different locations, on many different devices and in different data silos.… read more here.
Keywords: machine; federated machine; machine learning; intensive care ... See more keywords
Symptom profiling for infectious intestinal disease (IID): Do symptom profiles alter with age?
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0269676
Abstract: Symptom profiles have previously been identified for infectious intestinal disease (IID) which distinguish bacterial from viral organisms. However, there is evidence that the seasonality, severity, and duration of IID may differ between children, adults and… read more here.
Keywords: symptom; infectious intestinal; symptom profiles; intestinal disease ... See more keywords