mouthguards-optimization
This repository serves as preliminary dataset created with synthetic data for theoretical experimentation on the use of artificial neural netoworks to optimize resins and structural design of mouthguards.
automatic-satelitte-island-discovery
Project outside of course scope at (BSc) Machine Learning and Data Science education programme. Colab between NGI and DIKU at University of Copenhagen.
dataset_tools
A tool set to work with our Stratosphere Laboratory cybersecurity datasets.
open_clip_with_biomedica
Custom Open CLIP repo to train biomedical CLIP models
https://github.com/paganini2008/vortex-tsdb
Vortex is a cutting-edge time series database (TSDB) framework designed for precision, scalability, and real-time data analytics. Built on Spring Cloud, it supports fine-grained data storage with a 1-minute resolution
developmentaldemo
Tutorial for developmental data with spectral parameterization.
deep_residual_voxel_autoencoder
In the domain of computer vision, deep residual neural networks like EfficientNet have set new standards in terms of robustness and accuracy. In this work, we present a deep residual 3D autoencoder based on the EfficientNet architecture for transfer learning. For this purpose, we adopted EfficientNet to 3D problems like voxel models derived from a STEP file.
sfa
The Sap Flow Analyzer (SFA) is an R Shiny App to process sap flow data recorded with Heat Field Deformation (HFD) instruments. The app allows to clean the data, determine k-values, calculate sap flow per section and density as well as to estimate sap flow rates and tree water use.