Johannes Breitenbach

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 23

Top Topics

Machine Learning

Convolutional Neural Networks

Manufacturing Environment

Top Venues

Publications

Pascal Penava, Marie-Louise Brozat, Yara Zimmermann, Johannes Breitenbach, Patrick Ulrich, Ricardo Buettner
Subject-Independent Detection of Yes/No Decisions Using EEG Recordings During Motor Imagery Tasks: A Novel Machine-Learning Approach with Fine-Graded EEG Spectrum. HICSS (2023)
Niklas Braig, Alina Benz, Soeren Voth, Johannes Breitenbach, Ricardo Buettner
Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data. IEEE Access 11 (2023)
Julian Gatscher, Johannes Breitenbach, Ricardo Buettner
Machine Learning-Based Power Consumption Prediction for Unmanned Aerial Vehicles in Dynamic Environments. HICSS (2023)
Dominik Raab, Eric Fezer, Johannes Breitenbach, Hermann Baumgartl, Daniel Sauter, Ricardo Buettner
A Deep Learning-Based Model for Automated Quality Control in the Pharmaceutical Industry. COMPSAC (2022)
Tobias Gentner, Johannes Breitenbach, Timon Neitzel, Jacob Schulze, Ricardo Buettner
A Systematic Literature Review of Machine Learning Applications for Process Monitoring and Control in Semiconductor Manufacturing. COMPSAC (2022)
Johannes Breitenbach, Daniel Eisenhardt, Thilo Rieg, Hermann Baumgartl, Patrick Sven Ulrich, Ingo J. Timm, Ricardo Buettner
Machine Learning-Based Health Behavior Prediction Using Resting-State EEG Data. AMCIS (2022)
Johannes Breitenbach, Jan Gross, Manuel Wengert, James Anurathan, Rico Bitsch, Zafer Kosar, Emre Tuelue, Ricardo Buettner
A Systematic Literature Review of Deep Learning Approaches in Smart Meter Data Analytics. COMPSAC (2022)
Johannes Breitenbach, Isabelle Eckert, Vanessa Mahal, Hermann Baumgartl, Ricardo Buettner
Automated Defect Detection of Screws in the Manufacturing Industry Using Convolutional Neural Networks. HICSS (2022)
Johannes Breitenbach, Jan Gross, Ricardo Buettner, Hermann Baumgartl, Samuel Bayerlein, Dennis Flathau, Daniel Sauter
A Deep Learning-Based Cyber-Physical System for the Detection of Defective Capsules Using a Transfer Learning Strategy. PACIS (2022)
Johannes Breitenbach, Friedrich Seidenspinner, Furkan Vural, Philipp Beisswanger, Ricardo Buettner
A Systematic Literature Review of Machine Learning Approaches for Optimization in Additive Manufacturing. COMPSAC (2022)
Johannes Breitenbach, Jan Gross, Daniel Dittrich, Pauline Neumann, Alexander Schilling, Esra Zaman, Ricardo Buettner
A Systematic Literature Review of Current IoT-Based Approaches for Improving Sustainable Public Transportation in Smart Cities. COMPSAC (2022)
Ricardo Buettner, Johannes Breitenbach, Jan Gross, Isabell Krueger, Hari Gouromichos, Marvin Listl, Louis Leicht, Thorsten Klier
A Systematic Literature Review of Machine Learning Approaches for Detecting Events and Disturbances in Smart Grid Systems. COMPSAC (2022)
Ricardo Buettner, Johannes Breitenbach, Kai Wannenwetsch, Isabel Ostermann, Rene Priel
A Systematic Literature Review of Virtual and Augmented Reality Applications for Maintenance in Manufacturing. COMPSAC (2022)
Johannes Breitenbach, Jan Gross, Hermann Baumgartl, Patrick Sven Ulrich, Ricardo Buettner
Artificial Intelligence for Industry 4.0: Automated In-Line Quality Control of Electrical Cable Ends Based on Convolutional Neural Networks. PACIS (2022)
Dennis Flathau, Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner
Early Detection of Alcohol Use Disorder Based on a Novel Machine Learning Approach Using EEG Data. IEEE BigData (2021)
Johannes Breitenbach, Dominik Raab, Eric Fezer, Daniel Sauter, Hermann Baumgartl, Ricardo Buettner
Automatic Diagnosis of Intellectual and Developmental Disorder Using Machine Learning Based on Resting-State EEG Recordings. WiMob (2021)
Johannes Breitenbach, Alpay Uzun, Thilo Rieg, Hermann Baumgartl, Ricardo Buettner
A Novel Machine Learning Approach to Working Memory Evaluation Using Resting-State EEG Data. PACIS (2021)
Ricardo Buettner, Daniel Sauter, Jonas Klopfer, Johannes Breitenbach, Hermann Baumgartl
A Review of Recent Advances in Machine Learning Approaches for Cyber Defense. IEEE BigData (2021)
Johannes Breitenbach, Sara Haileselassie, Christoph Schuerger, Jonas Werner, Ricardo Buettner
A Systematic Literature Review of Machine Learning Tools for Supporting Supply Chain Management in the Manufacturing Environment. IEEE BigData (2021)
Jan Gross, Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner
High-Performance Detection of Corneal Ulceration Using Image Classification with Convolutional Neural Networks. HICSS (2021)
Johannes Breitenbach, Tim Dauser, Hendrik Illenberger, Marius Traub, Ricardo Buettner
A Systematic Literature Review on Machine Learning Approaches for Quality Monitoring and Control Systems for Welding Processes. IEEE BigData (2021)
Jan Gross, Johannes Breitenbach, Waldemar Granson, Daniel Japs, Ardi Reci, Aaron Koengeter, Ricardo Buettner
A Systematic Literature Review of Data Privacy Solutions for Smart Meter Technologies. IEEE BigData (2021)
Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner
Detection of Excessive Daytime Sleepiness in Resting-State EEG Recordings: A Novel Machine Learning Approach Using Specific EEG Sub-Bands and Channels. AMCIS (2020)