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Found 4 papers, 1 papers with code
Conditional Image Generation with Pretrained Generative Model
As a result, the research community has devised methods to leverage pre-trained unconditional diffusion models with additional guidance for the purpose of conditional image generative.
MOB-FL: Mobility-Aware Federated Learning for Intelligent Connected Vehicles
Federated learning (FL) is a promising approach to enable the future Internet of vehicles consisting of intelligent connected vehicles (ICVs) with powerful sensing, computing and communication capabilities.
MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G Networks
Accordingly, base stations (BSs) and edge servers (ESs) need to be densely deployed, leading to huge deployment and operation costs, in particular the energy costs.
Classification of Diabetic Retinopathy Severity in Fundus Images with DenseNet121 and ResNet50
In this work, deep learning algorithms are used to classify fundus images in terms of diabetic retinopathy severity.
