MECHANICAL ENGINEERING
Anomaly Detection on Sensor Data
The core of the project is to identify anomalies in the behavior of a Deep Learning Development Server cluster using sensor data.
Use Cases
Success stories from AI projects
GEO AI
Application of Deep Learning to 3D Point Clouds
This use case represents a scalable approach that uses AI to apply neural networks to 3D point clouds.
COMPUTATIONAL LIFE SCIENCE
Automated and user-friendly Data Analysis Pipeline for Agricultural Field Trials
The tool enables people to initialise technology background analysis and facilitates making business decisions.
R Shiny Neo4j Random Forest
COMPUTATIONAL LIFE SCIENCE
Breast Tumor Quality Prediction With The Help Of Dataiku
The project goal was to develop a machine learning model for predicting breast tumor quality: a Supper & Supper Use Case.
Dataiku random forest logistic regression
COMPUTATIONAL LIFE SCIENCE
Clustering of DNA Sequences from Microbiome Sequences
Professionelle Beratung im Bereich Data Science.
Self Organizing Map (SOM) Basic Local Alignment Search Tool (BLAST)
GEO AI
Crop Damage Detection
Mapping of drone imagery, ArcGIS, and machine learning enables faster, and much more accurate, evaluation of field damage.
Image segmentation Support Vector Classifier
DIGITAL AGRICULTURE
How to Reduce the Environmental Impact of Crop Protection: Sustainable Solutions for Modern Agriculture
How does the responsible use of pesticides work? This project describes the challenges, methods and results.
GEO AI
Crowd Control - Using AI to track people counts in near real-time
People density tracking plays an important role in city security & management. AI makes it possible.
GEO AI
Detection of Bark Beetle Infestation with ArcGIS Pro
Mapping & monitoring trees with bark beetle infestations helps to take countermeasures to prevent the spread of the beetles.
GEO AI
Space-time analysis of Co2 emissions
The goal of this project was to identify an alternative methodology that makes global CO2 emissions quantifiable & objectively validatable.
Spatio-temporal statistics
COMPUTATIONAL LIFE SCIENCE
Explainable artificial intelligence for trial field analysis
The aim of the project was to develop a general framework for the analytical interpretation of the results of machine learning models.
R
MECHANICAL ENGINEERING
Failure prediction in innovative vehicle projects
The aim of the project was to develop an algorithm that identifies fault patterns and configurations that lead to vehicle failures.
GEO AI
Global Weed Management Platform for Field Trials
Dynamic dashboards allow producers to quickly evaluate individual weed control practices and the use of specific products.
R Spotfire
COMPUTATIONAL LIFE SCIENCE
Graph Database Verification and Optimisation
To dynamically train machine learning models, data is extracted from graphs and written back via Python and R development environments.
Neo4j SQL R
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Mechanical Engineering
Industrial Anomaly Detection in manufacturing
Testing industrial anomaly detection in manufacturing. Explore how we found the most efficient and lightweight performers. Click here to secure all the insights!
GEO AI
The Kebab Challenge - Spatial Optimisation of Sales Networks
The main goal of our not entirely serious use case was to create a location forecast about the profitability of kebab stores.
ArcGIS Räumliche Optimierung Standortanalyse
NLP
Natural Language Processing applied on a job platform
The project goal was to develop a model that extracts
NLP
NLP - Understanding scientific language
The use case describes the analysis of scientific articles using Natural Language Processing (NLP) in order to distinguish two different types of gene mutations. Currently, this classification of gene mutations is done manually. We developed an algorithm to do so automatically.
KI BERT tf-idf
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DIGITAL AGRICULTURE
Optimising Crop Protection with AI-Driven Residue Management - The ResiYou Platform
ResiYou: an AI-driven cloud platform helping fruit- / vegetable growers protect crops from pests and comply with residue limits.
MECHANICAL ENGINEERING
Predictive Maintenance - Predicting Failures in Pneumatic Systems
The goal of this project was to analyse sensor data and predict whether the pneumatic system is likely to fail.
Gradient Boosting Machines Random Forest Regression
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GEO AI
Predictive Maintenance – Forecasting the road condition of the highway A70
The goal of the project was to develop an AI that predicts roadway conditions using a neural network on 4 different variables.
Deep Learning LSTM-CNN
COMPUTATIONAL LIFE SCIENCE
Development of the "Product Finder" for a Generics Manufacturer
The "Product Finder" developed as part of the project supports generic drug manufacturers in the development of new pharmaceutical products.
GEO AI
Photovoltaic module detection and mapping
The goal of this project was to train a neural network that automatically detects PV modules and then visualises them in a GIS system.
MECHANICAL ENGINEERING
Prediction of Test Bench Times for Varying Automotive Configurations
In this use case, we used Machine Laerning to develop predictive logic over the test bench times of varying automotive configurations.
Gradient Boosting Machines Random Forest Regression
GEO AI
The automated conduction of a forest inventory
A forest inventory can help isolate the causes of landscape change by monitoring changes over time.
Python C++ PDAL
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GEO AI
The automatic detection of trucks in orthophotos with ArcGIS-Pro
The aim of this project was to be able to recognise different trucks on the basis of orthophotos (raster images). Over 99% were detected.
Python ArcGIS Pro
GEO AI
The automated generation of CAD models from 3D high-way scans
The goal of our this project was to automate the generation of CAD models from point clouds with the help of deep learning.
GEO AI
The automatic labelling of point clouds from highway scans
The goal of this infrastructure project was to fully automate point cloud labelling by using deep learning models.
GEO AI
Satellite Imagery Feature Detection to create a Wind Turbine Register
The goal of the project was to create wind turbine cadastres including location and type using satellite image recognition.
GEO AI
Yield Prediction Of Hybrids
The project goal was to predict how corn hybrid variants would behave at new sites under varying environmental conditions, i.e. temperature, rain fall and soil condition.
ArcGIS Multiple Factor Analysis Random Forest
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No use cases found
No use cases are currently available for this industry.
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