Detection of Excessive Daytime Sleepiness in Resting-State EEG Recordings: A Novel Machine Learning Approach Using Specific EEG Sub-Bands and Channels. - Johannes Breitenbach; Hermann Baumgartl; Ricardo Buettner (AMCIS, 2020)

A Systematic Literature Review on Machine Learning Approaches for Quality Monitoring and Control Systems for Welding Processes. - Johannes Breitenbach; Tim Dauser; Hendrik Illenberger; Marius Traub; Ricardo Buettner (IEEE BigData, 2021)

A Systematic Literature Review of Machine Learning Tools for Supporting Supply Chain Management in the Manufacturing Environment. - Johannes Breitenbach; Sara Haileselassie; Christoph Schuerger; Jonas Werner; Ricardo Buettner (IEEE BigData, 2021)

A Review of Recent Advances in Machine Learning Approaches for Cyber Defense. - Ricardo Buettner; Daniel Sauter; Jonas Klopfer; Johannes Breitenbach; Hermann Baumgartl (IEEE BigData, 2021)

Early Detection of Alcohol Use Disorder Based on a Novel Machine Learning Approach Using EEG Data. - Dennis Flathau; Johannes Breitenbach; Hermann Baumgartl; Ricardo Buettner (IEEE BigData, 2021)

A Systematic Literature Review of Data Privacy Solutions for Smart Meter Technologies. - Jan Gross; Johannes Breitenbach; Waldemar Granson; Daniel Japs; Ardi Reci; Aaron Koengeter; Ricardo Buettner (IEEE BigData, 2021)

High-Performance Detection of Corneal Ulceration Using Image Classification with Convolutional Neural Networks. - Jan Gross; Johannes Breitenbach; Hermann Baumgartl; Ricardo Buettner (HICSS, 2021)

A Novel Machine Learning Approach to Working Memory Evaluation Using Resting-State EEG Data. - Johannes Breitenbach; Alpay Uzun; Thilo Rieg; Hermann Baumgartl; Ricardo Buettner (PACIS, 2021)

Automatic Diagnosis of Intellectual and Developmental Disorder Using Machine Learning Based on Resting-State EEG Recordings. - Johannes Breitenbach; Dominik Raab; Eric Fezer; Daniel Sauter; Hermann Baumgartl; Ricardo Buettner (WiMob, 2021)

Machine Learning-Based Health Behavior Prediction Using Resting-State EEG Data. - Johannes Breitenbach; Daniel Eisenhardt; Thilo Rieg; Hermann Baumgartl; Patrick Sven Ulrich; Ingo J. Timm; Ricardo Buettner (AMCIS, 2022)

A Systematic Literature Review of Current IoT-Based Approaches for Improving Sustainable Public Transportation in Smart Cities. - Johannes Breitenbach; Jan Gross; Daniel Dittrich; Pauline Neumann; Alexander Schilling; Esra Zaman; Ricardo Buettner (COMPSAC, 2022)

A Systematic Literature Review of Deep Learning Approaches in Smart Meter Data Analytics. - Johannes Breitenbach; Jan Gross; Manuel Wengert; James Anurathan; Rico Bitsch; Zafer Kosar; Emre Tuelue; Ricardo Buettner (COMPSAC, 2022)

A Systematic Literature Review of Machine Learning Approaches for Optimization in Additive Manufacturing. - Johannes Breitenbach; Friedrich Seidenspinner; Furkan Vural; Philipp Beisswanger; Ricardo Buettner (COMPSAC, 2022)

A Systematic Literature Review of Machine Learning Approaches for Detecting Events and Disturbances in Smart Grid Systems. - Ricardo Buettner; Johannes Breitenbach; Jan Gross; Isabell Krueger; Hari Gouromichos; Marvin Listl; Louis Leicht; Thorsten Klier (COMPSAC, 2022)

A Systematic Literature Review of Virtual and Augmented Reality Applications for Maintenance in Manufacturing. - Ricardo Buettner; Johannes Breitenbach; Kai Wannenwetsch; Isabel Ostermann; Rene Priel (COMPSAC, 2022)

A Systematic Literature Review of Machine Learning Applications for Process Monitoring and Control in Semiconductor Manufacturing. - Tobias Gentner; Johannes Breitenbach; Timon Neitzel; Jacob Schulze; Ricardo Buettner (COMPSAC, 2022)

A Deep Learning-Based Model for Automated Quality Control in the Pharmaceutical Industry. - Dominik Raab; Eric Fezer; Johannes Breitenbach; Hermann Baumgartl; Daniel Sauter; Ricardo Buettner (COMPSAC, 2022)

Automated Defect Detection of Screws in the Manufacturing Industry Using Convolutional Neural Networks. - Johannes Breitenbach; Isabelle Eckert; Vanessa Mahal; Hermann Baumgartl; Ricardo Buettner (HICSS, 2022)

A Deep Learning-Based Cyber-Physical System for the Detection of Defective Capsules Using a Transfer Learning Strategy. - Johannes Breitenbach; Jan Gross; Ricardo Buettner; Hermann Baumgartl; Samuel Bayerlein; Dennis Flathau; Daniel Sauter (PACIS, 2022)

Artificial Intelligence for Industry 4.0: Automated In-Line Quality Control of Electrical Cable Ends Based on Convolutional Neural Networks. - Johannes Breitenbach; Jan Gross; Hermann Baumgartl; Patrick Sven Ulrich; Ricardo Buettner (PACIS, 2022)

Machine Learning-Based Power Consumption Prediction for Unmanned Aerial Vehicles in Dynamic Environments. - Julian Gatscher; Johannes Breitenbach; Ricardo Buettner (HICSS, 2023)

Subject-Independent Detection of Yes/No Decisions Using EEG Recordings During Motor Imagery Tasks: A Novel Machine-Learning Approach with Fine-Graded EEG Spectrum. - Pascal Penava; Marie-Louise Brozat; Yara Zimmermann; Johannes Breitenbach; Patrick Ulrich; Ricardo Buettner (HICSS, 2023)

Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data. - Niklas Braig; Alina Benz; Soeren Voth; Johannes Breitenbach; Ricardo Buettner (IEEE Access, 2023)