Johannes Breitenbach
Orcid: 0000-0002-2020-599X
According to our database1,
Johannes Breitenbach
authored at least 23 papers
between 2020 and 2023.
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Bibliography
2023
IEEE Access, 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.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
Machine Learning-Based Power Consumption Prediction for Unmanned Aerial Vehicles in Dynamic Environments.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
2022
Artificial Intelligence for Industry 4.0: Automated In-Line Quality Control of Electrical Cable Ends Based on Convolutional Neural Networks.
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022
A Deep Learning-Based Cyber-Physical System for the Detection of Defective Capsules Using a Transfer Learning Strategy.
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022
Automated Defect Detection of Screws in the Manufacturing Industry Using Convolutional Neural Networks.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
A Deep Learning-Based Model for Automated Quality Control in the Pharmaceutical Industry.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
A Systematic Literature Review of Machine Learning Applications for Process Monitoring and Control in Semiconductor Manufacturing.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
A Systematic Literature Review of Virtual and Augmented Reality Applications for Maintenance in Manufacturing.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
A Systematic Literature Review of Machine Learning Approaches for Detecting Events and Disturbances in Smart Grid Systems.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
A Systematic Literature Review of Machine Learning Approaches for Optimization in Additive Manufacturing.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
A Systematic Literature Review of Deep Learning Approaches in Smart Meter Data Analytics.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
A Systematic Literature Review of Current IoT-Based Approaches for Improving Sustainable Public Transportation in Smart Cities.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
Proceedings of the 28th Americas Conference on Information Systems, 2022
2021
Automatic Diagnosis of Intellectual and Developmental Disorder Using Machine Learning Based on Resting-State EEG Recordings.
Proceedings of the 17th International Conference on Wireless and Mobile Computing, 2021
A Novel Machine Learning Approach to Working Memory Evaluation Using Resting-State EEG Data.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021
High-Performance Detection of Corneal Ulceration Using Image Classification with Convolutional Neural Networks.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
A Systematic Literature Review of Data Privacy Solutions for Smart Meter Technologies.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Early Detection of Alcohol Use Disorder Based on a Novel Machine Learning Approach Using EEG Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
A Systematic Literature Review of Machine Learning Tools for Supporting Supply Chain Management in the Manufacturing Environment.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
A Systematic Literature Review on Machine Learning Approaches for Quality Monitoring and Control Systems for Welding Processes.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Detection of Excessive Daytime Sleepiness in Resting-State EEG Recordings: A Novel Machine Learning Approach Using Specific EEG Sub-Bands and Channels.
Proceedings of the 26th Americas Conference on Information Systems, 2020