Search Results for author:
Found 5 papers, 3 papers with code
Self-sustaining Software Systems (S4): Towards Improved Interpretability and Adaptation
S4 builds knowledge loops between all available knowledge sources that define modern software systems to improve their interpretability and adaptability.
Real-world Machine Learning Systems: A survey from a Data-Oriented Architecture Perspective
The survey shows the design decisions of the systems and the requirements these satisfy.
An Empirical Evaluation of Flow Based Programming in the Machine Learning Deployment Context
Data Oriented Architecture (DOA) is an emerging approach that can support data scientists and software developers when addressing such challenges.
Towards better data discovery and collection with flow-based programming
Our main conclusion is that FBP shows great potential for providing data-centric infrastructural benefits for deployment of ML.
WasteNet: Waste Classification at the Edge for Smart Bins
In this paper, we propose WasteNet, a waste classification model based on convolutional neural networks that can be deployed on a low power device at the edge of the network, such as a Jetson Nano.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
