Pinned Repositories
BachelorThesis
birdiary_webserver
cms_routing
Ship Routing Algorithms for Just-In-Time and Energy Efficient Voyages. By using a genetic algorithm we strive the lowest possible fuel consumption while at the same time keeping the scheduled deadlines. Two different specifications of the algorithm are available, one with a constant engine power, one with an over the route changeable engine power.
CNNvsTransformer
Comparing CNN- and Transformer-Based Deep Learning Models for Semantic Segmentation of Remote Sensing Images. Specifically looking at different configurations of U-Net and SegFormer applied to Potsdam, Vaihingen and FloodNet dataset.
countYourBirds
An application to automatically recognize birds, specify the species, count and save pictures of them, only by use of one camera and a Raspberry Pi. The images and recorded values are made available online on https://opensensemap.org/.
DLnano
Analysis of nano satellite imagery of areas affected from war destruction with deep learning methods
IVE
The Immersive Video Environment
keras-vision-transformer
The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET
newt
Natural World Tasks
osem-dashboard
proof of concept of https://opensensemap.org/ dashboard with R shiny
jsten07's Repositories
jsten07/cms_routing
Ship Routing Algorithms for Just-In-Time and Energy Efficient Voyages. By using a genetic algorithm we strive the lowest possible fuel consumption while at the same time keeping the scheduled deadlines. Two different specifications of the algorithm are available, one with a constant engine power, one with an over the route changeable engine power.
jsten07/countYourBirds
An application to automatically recognize birds, specify the species, count and save pictures of them, only by use of one camera and a Raspberry Pi. The images and recorded values are made available online on https://opensensemap.org/.
jsten07/CNNvsTransformer
Comparing CNN- and Transformer-Based Deep Learning Models for Semantic Segmentation of Remote Sensing Images. Specifically looking at different configurations of U-Net and SegFormer applied to Potsdam, Vaihingen and FloodNet dataset.
jsten07/DLnano
Analysis of nano satellite imagery of areas affected from war destruction with deep learning methods
jsten07/BachelorThesis
jsten07/birdiary_webserver
jsten07/IVE
The Immersive Video Environment
jsten07/keras-vision-transformer
The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET
jsten07/newt
Natural World Tasks
jsten07/osem-dashboard
proof of concept of https://opensensemap.org/ dashboard with R shiny
jsten07/Plant-id-API
Example client's code for work with Plant.id identification API in various languages
jsten07/SpeciesClassification
AI for Earth Species Classification API
jsten07/STRbook_Labs
jsten07/TwittStorm
Project for Geosoftware 2 in the winter semester 2019/2020