Project Archive - L3S Research Center

This is an archive of projects of L3S Research Center that have been completed.

AkEvAp

Machine Learning and Deep Learning | Medicine

The AkEvAp project aimed to develop an automated evaluation method based on real-time camera data to improve ergonomics at workplaces in logistics.

This cooperation between claimbird and L3S aims to meet the requirements for automated damage detection. For this purpose, a data set is built up and trained for a deep learning system, which can support the insurance companies in analyzing and evaluating claims.

AutoML

The course on automated machine learning, AutoML, conveyed the basics on how to achieve state-of-the-art performance with machine learning (ML).

BRAINE

Knowledge Graphs and Data Integration | Production

The BRAINE project aimed to develop energy-efficient hardware and AI software systems for edge computing. Advantages: reduced latency, secure decentralized processing and storage, adaption to underlying applications.

BIAS

Machine Learning and Deep Learning | Business & Society

In BIAS, experts examined how standards of unbiased attitudes and non-discriminatory practices can be met in big data analysis and algorithm-based decision-making.

Big Data for Cochlea Implants

Machine Learning and Deep Learning | Medicine

This project aimed to further the understanding of Cochlear Implant Outcome Variability by using Big Data and Machine Learning Approaches.

COVMAP2

Scene and Video Analysis | Mobility

The COVMAP2 project aimed to combine GPS, sensor and video data to analyse road and traffic situations for cyclists and pedestrians for the next generation of smart maps.

CRiTERIA

Text Mining and Search | Business & Society

CRiTERIA is a novel and human-rights sensitive risk and vulnerability analysis framework based on multi-perspective, multi-source, multi-lingual technologies.

Cluster of Excellence 2092 „Cyber Security in the Age of Large-Scale Adversaries (CASA)“

In CASA, researchers studied the intersection of computer security and privacy with human factors, thus leading to more secure software with security that is also usable.

Cleopatra

Business & Society

Cleopatra aims to effectively and efficiently analyze event-based information in various languages from heterogeneous sources to present understandable results.

CoyPu

Knowledge Graphs and Data Integration | Production

The CoyPu project resorted to semantic technologies and using AI analysis approaches to develop a data-driven platform to support economic crises.

DaFne

Machine Learning and Deep Learning | Science

The DaFne project aimed to improve the usability of data generation methods for AI researchers and developers by developing an innovative, flexible data generation platform.

Development of an intelligent cruise counselling tool

This project focusses on developing new applications of machine learning for the digital cruise advisor Cruisewatch.

Digital Cases

Business & Society

The Digital Cases research project examined how complex information and case management software in professional organizations structures the processing of cases.

Digispecies

Text Mining and Search | Science

Digispecies aimed to digitize records of plant and animal species occurrence to document the extent of biodiversity loss.

d-E-mand

Machine Learning and Deep Learning | Energy & Sustainability and Mobility

d-E-mand aims to create a foundation for small businesses to create novel services in context of increased spatio-temporal charging demand of electric vehicles.

Generating Machine-actionable Agroecological Knowledge

Knowledge Graphs and Data Integration | Science

Conducting Science in the 21st Century: A Case Study for Machine-actionable Scientific Literature in Agroecology

Immersive Digital Reality

Scene and Video Analysis | Business & Society

Photorealistic representation of natural scenes for immersive virtual experience of our world.

IREM

Text Mining and Search

IREM

IIP-Ecosphere

Production and Business & Society

IIP-Ecosphere creates a novel AI ecosystem that connects stakeholders from industry, service providers, associations, and research.

KnowGraphs

Knowledge Graphs and Data Integration | Science

Knowledge graphs (KGs) are a flexible knowledge representation paradigm intended to allow knowledge to be consumed by humans and machines.

KISWind

Scene and Video Analysis | Energy & Sustainability

KISWind stands for AI-supported acoustic emission monitoring for automatic damage detection in supporting structures of wind turbines

LernMINT

Machine Learning and Deep Learning | Education

The aim of the LernMINT project was to explore the potential of data-supported teaching and learning in STEM subjects while considering data protection and fairness.

LeibnizKILabor

Machine Learning and Deep Learning | Medicine

The International Future Lab for AI spent three years researching new topics in AI and developing intelligent solutions for personalised medicine.

LAST-JD-RIoE

Education

The aim of the project is to create an international joint doctoral programme in law, science and technology, in which science and industry work together.

Mono To3D

Scene and Video Analysis

The Mono To3D project aims to develop novel approaches to depth estimation in monocular images using weakly supervised machine learning methods.

Multimodal Analysis for Sports Analytics

Text Mining and Search

Multimodal analysis for sports analytics: Intelligent synchronisation and semantic enrichment of position and video data for the analysis of sports game data

MediaFutures

Business & Society

MediaFutures will set up a virtual and European data-driven innovation hub for projects to reshape the media value chain through innovative uses of data.

MACHINA

Business & Society

Machine Learning is a subset of AI that has become the basis for automated translation systems, medical image analysis and virtual assistants.

NovoAI

Machine Learning and Deep Learning | Production

NovoAI has developed an end-to-end solution with sensor modules and integrated AI dashboard to make AI applications available and affordable for industry.

NoBIAS

Machine Learning and Deep Learning | Business & Society

The core objective of NoBIAS was to research and develop novel methods for data-driven decision-making without bias.

PQmail: Quantum computer-resistant cryptography

With the help of L3S, the developers of Tutanota want to integrate quantum-safe encryption into their e-mail client of the same name in an exemplary way, so that confidential communication cannot be read by third parties.

PRESENt

Machine Learning and Deep Learning | Medicine

The PRESENt consortium uses data-intensive technologies and machine learning for personalized prognosis, prevention and treatment of norovirus infections.

QuBRA

Machine Learning and Deep Learning | Production

A diverse consortium aiming to unlock the potential of quantum computing for solving complex combinatorial optimisation problems in high-stakes industries such as microchip manufacturing and automotive engineering.

ReNew

Energy & Sustainability | Ethics & Law

The ReNew project analyses the changing norms in the German energy sector as a result of the shift towards decentralised production and renewable energies, and examines ongoing value conflicts.

Reduction of returns

One of the biggest cost drivers in fashion eCommerce is return shipments. Dresslife aims to reduce these returns with the help of AI technology.

SEARCH

Text Mining and Search | Education

SEARCH created an intelligent digital education space for problem- and benefit-oriented search of digital learning content.

SoMeCliCS

Text Mining and Search | Education

Social Media and Climate Change: Usage, Literacies and Interventions from the Perspective of Science Education

SDIKA

Business & Society

The goal of the "SDIKA - Secure Digital Identities Karlsruhe" project was to develop wide-ranging, cross-application digital identities in open ecosystems that promote high functionality, security, and sovereignty.

SocialCars

Mobility

The research of the SocialCars Research Training Group works on improving the urban compatibility of future road traffic through cooperative approaches.

smashHit

The objective of smashHit is to ensure the trusted and secure sharing of data streams.

ScienceGRAPH

Knowledge Graphs and Data Integration | Science

ScienceGRAPH aimedd to develop a novel principled model for representing scholarly communication in a knowledge-based way by using interlinked knowledge graphs.

TRUSTS

The TRUSTS project aims to reinstate trust placed in the data market by developing a new platform while allowing the future introduction of newer platforms.

The Organization of Valorization

Business & Society

This project wanted to develop an organizational sociological model for the valuation of aspiring members on the empirical subject of talent selection.

Uncovr

Scene and Video Analysis

The Uncovr project aimed to improve the identification and linking of musical works in videos.

Wagner 3.0

Business & Society

Wagner 3.0 aims to investigate whether Richard Wagner’s ideal of an embedded listening situation can be recreated through a virtual sound environment.

All Projects