Before cooking videos and viral recipes, home meals were built around simplicity and routine. This video looks at classic recipes people made regularly without trends or cameras involved. Ingredients ...
Abstract: Federated Learning (FL) is an emerging computing paradigm to collaboratively train Machine Learning (ML) models across multi-source data while preserving privacy. The major challenge of ...
Abstract: Dynamic image degradations, including noise, blur and lighting inconsistencies, pose significant challenges in image restoration, often due to sensor limitations or adverse environmental ...
This repo is intended to provide a simple pipeline example for getting started with programmtic data ingestion and updates in bit.io. To keep the repo simple, many best practices such as logging, ...
Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based electroencephalography (EEG) ...
Africa (Ghana) Mixed species (reclamation plantation) – Upslope, Mid, Downslope 17.7–21.7 Mg ha −1 and 8.8– 10.9 Mg ha −1 C Midslope > Downslope > Upslope; SOC and nutrients highest in midslope ...