Johannes Breitenbach

23 papers B 8Journal 1Unranked 14

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data. IEEE Access Niklas Braig, Alina Benz, Soeren Voth, Johannes Breitenbach, Ricardo Buettner
2023	—	`conf`	Machine Learning-Based Power Consumption Prediction for Unmanned Aerial Vehicles in Dynamic Environments. HICSS Julian Gatscher, Johannes Breitenbach, Ricardo Buettner
2023	—	`conf`	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 Pascal Penava, Marie-Louise Brozat, Yara Zimmermann, Johannes Breitenbach, Patrick Ulrich, Ricardo Buettner
2022	—	`conf`	A Deep Learning-Based Cyber-Physical System for the Detection of Defective Capsules Using a Transfer Learning Strategy. PACIS Johannes Breitenbach, Jan Gross, Ricardo Buettner, Hermann Baumgartl, Samuel Bayerlein, Dennis Flathau, Daniel Sauter
2022	B	`conf`	A Deep Learning-Based Model for Automated Quality Control in the Pharmaceutical Industry. COMPSAC Dominik Raab, Eric Fezer, Johannes Breitenbach, Hermann Baumgartl, Daniel Sauter, Ricardo Buettner
2022	B	`conf`	A Systematic Literature Review of Current IoT-Based Approaches for Improving Sustainable Public Transportation in Smart Cities. COMPSAC Johannes Breitenbach, Jan Gross, Daniel Dittrich, Pauline Neumann, Alexander Schilling, Esra Zaman, Ricardo Buettner
2022	B	`conf`	A Systematic Literature Review of Deep Learning Approaches in Smart Meter Data Analytics. COMPSAC Johannes Breitenbach, Jan Gross, Manuel Wengert, James Anurathan, Rico Bitsch, Zafer Kosar, Emre Tuelue, Ricardo Buettner
2022	B	`conf`	A Systematic Literature Review of Machine Learning Applications for Process Monitoring and Control in Semiconductor Manufacturing. COMPSAC Tobias Gentner, Johannes Breitenbach, Timon Neitzel, Jacob Schulze, Ricardo Buettner
2022	B	`conf`	A Systematic Literature Review of Machine Learning Approaches for Detecting Events and Disturbances in Smart Grid Systems. COMPSAC Ricardo Buettner, Johannes Breitenbach, Jan Gross, Isabell Krueger, Hari Gouromichos, Marvin Listl, Louis Leicht, Thorsten Klier
2022	B	`conf`	A Systematic Literature Review of Machine Learning Approaches for Optimization in Additive Manufacturing. COMPSAC Johannes Breitenbach, Friedrich Seidenspinner, Furkan Vural, Philipp Beisswanger, Ricardo Buettner
2022	B	`conf`	A Systematic Literature Review of Virtual and Augmented Reality Applications for Maintenance in Manufacturing. COMPSAC Ricardo Buettner, Johannes Breitenbach, Kai Wannenwetsch, Isabel Ostermann, Rene Priel
2022	—	`conf`	Artificial Intelligence for Industry 4.0: Automated In-Line Quality Control of Electrical Cable Ends Based on Convolutional Neural Networks. PACIS Johannes Breitenbach, Jan Gross, Hermann Baumgartl, Patrick Sven Ulrich, Ricardo Buettner
2022	—	`conf`	Automated Defect Detection of Screws in the Manufacturing Industry Using Convolutional Neural Networks. HICSS Johannes Breitenbach, Isabelle Eckert, Vanessa Mahal, Hermann Baumgartl, Ricardo Buettner
2022	—	`conf`	Machine Learning-Based Health Behavior Prediction Using Resting-State EEG Data. AMCIS Johannes Breitenbach, Daniel Eisenhardt, Thilo Rieg, Hermann Baumgartl, Patrick Sven Ulrich, Ingo J. Timm, Ricardo Buettner
2021	—	`conf`	A Novel Machine Learning Approach to Working Memory Evaluation Using Resting-State EEG Data. PACIS Johannes Breitenbach, Alpay Uzun, Thilo Rieg, Hermann Baumgartl, Ricardo Buettner
2021	—	`conf`	A Review of Recent Advances in Machine Learning Approaches for Cyber Defense. IEEE BigData Ricardo Buettner, Daniel Sauter, Jonas Klopfer, Johannes Breitenbach, Hermann Baumgartl
2021	—	`conf`	A Systematic Literature Review of Data Privacy Solutions for Smart Meter Technologies. IEEE BigData Jan Gross, Johannes Breitenbach, Waldemar Granson, Daniel Japs, Ardi Reci, Aaron Koengeter, Ricardo Buettner
2021	—	`conf`	A Systematic Literature Review of Machine Learning Tools for Supporting Supply Chain Management in the Manufacturing Environment. IEEE BigData Johannes Breitenbach, Sara Haileselassie, Christoph Schuerger, Jonas Werner, Ricardo Buettner
2021	—	`conf`	A Systematic Literature Review on Machine Learning Approaches for Quality Monitoring and Control Systems for Welding Processes. IEEE BigData Johannes Breitenbach, Tim Dauser, Hendrik Illenberger, Marius Traub, Ricardo Buettner
2021	B	`conf`	Automatic Diagnosis of Intellectual and Developmental Disorder Using Machine Learning Based on Resting-State EEG Recordings. WiMob Johannes Breitenbach, Dominik Raab, Eric Fezer, Daniel Sauter, Hermann Baumgartl, Ricardo Buettner
2021	—	`conf`	Early Detection of Alcohol Use Disorder Based on a Novel Machine Learning Approach Using EEG Data. IEEE BigData Dennis Flathau, Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner
2021	—	`conf`	High-Performance Detection of Corneal Ulceration Using Image Classification with Convolutional Neural Networks. HICSS Jan Gross, Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner
2020	—	`conf`	Detection of Excessive Daytime Sleepiness in Resting-State EEG Recordings: A Novel Machine Learning Approach Using Specific EEG Sub-Bands and Channels. AMCIS Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner