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1. Nachhaltigkeit
2. News: 11/10/2021
Efficiency analysis of existing buildings

First of all, consumption data of the buildings must be collected and target values defined. From an analysis, measures can then be derived that have the greatest influence on resource consumption. The [...] consumption. Existing TU screens or infrastructure can possibly be used for this purpose. The collected data should also be published on the homepage or in a report form. After the initial project, the monitoring …
1. EC
2. Teaching
3. Courses
4. Projects
Project group Artificial Intelligence in Logistics

telemetry data. The subtasks of the project include Familiarization with literature, existing implementations and data Requirements analysis for the LCS to be developed Processing the telemetry data with regard [...] detection in telemetry data As part of the project group, the students are working together with DATINEO GmbH as a partner on a system for detecting anomalies in logistics telemetry data. The focus here is [...] their knowledge in the areas of anomaly detection and its implementation, as well as the associated data processing. The envisaged LCS will serve as the target architecture and will be supplemented by a …
1. IPS
2. Research & Consult
3. Research Projects
4. 2023
BeverGreen

perspective. In order to aggregate the data and information, a support system will be developed to map existing data structures (Data Mapping Assistent). The Data Mapping Assistent will create applicat [...] cycles and to derive data-driven improvements. However, the heterogeneous data storage across process steps, IT systems and value chains makes it difficult to obtain and aggregate data for information extraction [...] information and integrate external data sets (e.g. on CO2 equivalents (CO2e)) and novel data sources (e.g. retrofitting). The resulting application-specific, semantic data sets form the basis for the green …
1. LWuS
2. Homepage
3. Chair
4. Team
Dr. Jonathan Flossdorf - TU Dortmund University

Statistical methods for complex data structures: change detection and goodness-of-fit testing for stochastic networks and an online monitoring framework for text data ( pdf ) since February 2020 : Research [...] Charts. COMPSTAT 2022. Bologna, Italy (08/2022). Teaching Statistical Network Analysis (WiSe 2024/25) Statistical Network Analysis (WiSe 2022/23) Fallstudien I (WiSe 2021/22) Statistik VI - Entscheidungstheorie [...] networks Change-Point Detection/Online-Monitoring in dynamic networks Statistical methods for complex data structures Statistical applications in logistics Publications Brune, B., Flossdorf, J. andJentsch …
1. WiWi
2. Studies
3. Degree Programs
4. Business Administration and Economics (M. Sc.)
5. Study Profiles
Economics

mics. The focus is on the analysis of dynamic equilibrium models, the application of econometric methods and the evaluation of quantitative models of business cycle analysis. The ability to work independently [...] formation, human capital and technological change. Methodologically, the focus is on the analysis of company and employee data. Independent work on your own research projects plays a central role. Economic statistics: [...] interest: Suitable prior knowledge from the Bachelor's degree program Affinity for the systematic analysis of data and decision-making contexts as well as the preparation of forecasts Interest in current economic …
1. IPS
2. About Us
3. Team
Daniel Boair

research focus at IPS is on time series analysis in an industrial environment using artificial intelligence. Research Automated THT assembly using robotics Time series analysis AI in industrial contexts Teaching [...] plants and products Data-driven improvement of process efficiency Presentations and Publications Boiar, Daniel; Liebig, Thomas; Schubert, Erich (2022). LOSDD: Leave-Out Support Vector Data Description for [...] Liebig, Thomas (2022). Distributed LSTM-Learning from Differentially Private Label Proportions. In Data Mining Workshops, 2022. ICDMW'22. IEEE International Conference on, Seiten (accepted), IEEE, 2022 …
1. lmp
2. Research
Research profile LMP+

s using analytical and numerical models. Extensive in-process and post-process data means that data preparation, analysis and visualization are further areas of responsibility. Based on an in-depth un [...] concerns the analysis of process behaviour, process and parameter development, process monitoring and control, quality assurance and system technology as well as the characterization, analysis and testing …
1. Physik
2. Event: 10/10/2024
Thesis defense of Jan Langer

performed using proton-proton collision data recorded by the LHCb experiment at the Large Hadron Collider, corresponding to an integrated luminosity of 9fb-1. The first analysis is a branching fraction measurement [...] observable S(D*+D*-) is diluted. Therefore, an angular analysis is performed to determine the dilution factor. The current state of the analysis and its sensitivity are presented and discussed. With the [...] the limited precision of the BdToDstDst branching fraction used in the normalisation. The second analysis presented is the measurement of CP violation in BdToDstDst decays. As the final state is a mixture …
1. SSE
2. News: 2/26/2025
Two New Publications Accepted at MSR 2025

accepted to the Data and Tool Showcase Track of the Mining Software Repositories Conference 2025 (MSR '25) in Ottawa, Canada. In "CoPhi - Mining C/C++ Packages for Conan Ecosystem Analysis" Vivek and his [...] his co-authors propose CoPhi , a tool that performs large-scale analysis on C/C++ packages in the Conan ecosystem. CoPhi is able to analyze such packages and extracts metrics reflecting relevant program [...] Maven Central ecosystem. It enables users to focus entirely on implementing the domain-specific analysis task, while MARIN deals with all infrastructure-related tasks: Iterating software artifacts, aggregating …
1. dbis
2. Publications
3. 2017
DeLorean

DeLorean: A Storage Layer to Analyze Physical Data at Scale Title DeLorean : A Storage Layer to Analyze Physical Data at Scale Authors Michael Kußmann, Maximilian Berens, Ulrich Eitschberger, Ayse Kilic [...] the ability to analyse massive volumes of data in short time. In this article, we report on DeLorean , which is a new system architecture for high-volume data processing in the domain of particle physics [...] four-fold performance improvement over state-of-the-art solutions. Project Real-Time Analysis and Storage for High-Volume Data in Particle Physics (SFB 876, C5) …