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2020 – today
- 2025
[j17]Luca Eisentraut
, Christopher Mai, Johanna Hosch, Amélie Benecke, Pascal Penava, Ricardo Buettner:
Deep Learning-Based Detection of Tuberculosis Using a Gaussian Chest X-Ray Image Filter as a Software Lens. IEEE Access 13: 36065-36081 (2025)- [j16]Luca Eisentraut, Johanna Hosch, Maksym Roytenberg, Amélie Benecke, Pascal Penava, Ricardo Buettner:
Defect Detection in Industrial Soldering Processes Using Machine Learning: A Critical Literature Review. IEEE Access 13: 41533-41558 (2025) - [j15]Ricardo Buettner, Christopher Mai, Pascal Penava:
Improvement of Deep Learning Models Using Retinal Filter: A Systematic Evaluation of the Effect of Gaussian Filtering With a Focus on Industrial Inspection Data. IEEE Access 13: 43201-43217 (2025) - [j14]Sara Auweiler, Melina Müller, Diana Puhla, Pascal Penava, Ricardo Buettner:
A Novel High Performance Object Identification Approach in Care Homes Using Gaussian Preprocessing. IEEE Access 13: 79705-79717 (2025) - [j13]Daniel Heuschmid, Oliver Wacker, Yannick Zimmermann, Pascal Penava, Ricardo Buettner:
Advancements in Landmine Detection: Deep Learning-Based Analysis With Thermal Drones. IEEE Access 13: 91777-91794 (2025) - [j12]Celina Rieck, Pascal Penava, Ricardo Buettner:
A Systematic Literature Review of Machine Learning-Based Personality Trait Detection Using Electroencephalographic Data. IEEE Access 13: 114812-114833 (2025) - [j11]Norbert Moenks, Pascal Penava, Ricardo Buettner:
A Systematic Literature Review of Large Language Model Applications in Industry. IEEE Access 13: 160010-160033 (2025) - [j10]Max Wiedemann, Pascal Penava, Christopher Mai, Ricardo Buettner:
Deep-Learning-Based Determination of Textile Properties: A Novel Triplet Architecture Approach for Classifying Cotton Content. IEEE Access 13: 164395-164408 (2025) - [j9]Mats Pagers, Pascal Penava, Ricardo Buettner:
A High-Performance Deep-Learning-Based Ground Penetrating Radar Classification Approach With Special Focus on Multi-Class Robustness. IEEE Access 13: 175847-175857 (2025) - [j8]Ricardo Buettner, Pascal Penava, Max Wiedemann:
A Novel Hybrid Transformer Approach for Text-Based Defect Classifications in the Construction Industry. IEEE Access 13: 205353-205365 (2025) - [j7]Norbert Moenks, Pascal Penava, Ricardo Buettner:
A Novel High-Performance Deep-Learning-Based Approach for the Detection of Arsenic Poisoning. IEEE Access 13: 215251-215264 (2025) - [j6]Pascal Penava, Ricardo Buettner:
A novel subject-independent deep learning approach for user behavior prediction in electronic markets based on electroencephalographic data. Electron. Mark. 35(1): 37 (2025) - 2024
- [j5]David Richard Tom Hax, Pascal Penava, Samira Krodel, Liliya Razova, Ricardo Buettner:
A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition. IEEE Access 12: 28761-28774 (2024) - [j4]Pascal Penava, Ricardo Buettner:
Early-Stage Non-Severe Depression Detection Using a Novel Convolutional Neural Network Approach Based on Resting-State EEG Data. IEEE Access 12: 173380-173389 (2024) - [j3]Christopher Mai, Pascal Penava, Ricardo Buettner:
A Novel Deep Learning-Based Approach for Defect Detection of Synthetic Leather Using Gaussian Filtering. IEEE Access 12: 196702-196714 (2024) - [j2]Christopher Mai, Pascal Penava, Ricardo Buettner:
Oracle Bone Inscription Character Recognition Based on a Novel Convolutional Neural Network Architecture. IEEE Access 12: 197021-197034 (2024) - 2023
- [j1]Pascal Penava, Ricardo Buettner:
A Novel Small-Data Based Approach for Decoding Yes/No-Decisions of Locked-In Patients Using Generative Adversarial Networks. IEEE Access 11: 118849-118864 (2023) - [c1]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: 4057-4066
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