Pascal Penava

18 papers Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A High-Performance Deep-Learning-Based Ground Penetrating Radar Classification Approach With Special Focus on Multi-Class Robustness.
IEEE Access
Mats Pagers, Pascal Penava, Ricardo Buettner
2025 J jnl
A Novel High Performance Object Identification Approach in Care Homes Using Gaussian Preprocessing.
IEEE Access
Sara Auweiler, Melina Müller, Diana Puhla, Pascal Penava, Ricardo Buettner
2025 J jnl
A Novel High-Performance Deep-Learning-Based Approach for the Detection of Arsenic Poisoning.
IEEE Access
Norbert Moenks, Pascal Penava, Ricardo Buettner
2025 J jnl
A Novel Hybrid Transformer Approach for Text-Based Defect Classifications in the Construction Industry.
IEEE Access
Ricardo Buettner, Pascal Penava, Max Wiedemann
2025 J jnl
A Systematic Literature Review of Large Language Model Applications in Industry.
IEEE Access
Norbert Moenks, Pascal Penava, Ricardo Buettner
2025 J jnl
A Systematic Literature Review of Machine Learning-Based Personality Trait Detection Using Electroencephalographic Data.
IEEE Access
Celina Rieck, Pascal Penava, Ricardo Buettner
2025 J jnl
A novel subject-independent deep learning approach for user behavior prediction in electronic markets based on electroencephalographic data.
Electron. Mark.
Pascal Penava, Ricardo Buettner
2025 J jnl
Advancements in Landmine Detection: Deep Learning-Based Analysis With Thermal Drones.
IEEE Access
Daniel Heuschmid, Oliver Wacker, Yannick Zimmermann, Pascal Penava, Ricardo Buettner
2025 J jnl
Deep Learning-Based Detection of Tuberculosis Using a Gaussian Chest X-Ray Image Filter as a Software Lens.
IEEE Access
Luca Eisentraut, Christopher Mai, Johanna Hosch, Amélie Benecke, Pascal Penava, Ricardo Buettner
2025 J jnl
Deep-Learning-Based Determination of Textile Properties: A Novel Triplet Architecture Approach for Classifying Cotton Content.
IEEE Access
Max Wiedemann, Pascal Penava, Christopher Mai, Ricardo Buettner
2025 J jnl
Defect Detection in Industrial Soldering Processes Using Machine Learning: A Critical Literature Review.
IEEE Access
Luca Eisentraut, Johanna Hosch, Maksym Roytenberg, Amélie Benecke, Pascal Penava, Ricardo Buettner
2025 J jnl
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
Ricardo Buettner, Christopher Mai, Pascal Penava
2024 J jnl
A Novel Deep Learning-Based Approach for Defect Detection of Synthetic Leather Using Gaussian Filtering.
IEEE Access
Christopher Mai, Pascal Penava, Ricardo Buettner
2024 J jnl
A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition.
IEEE Access
David Richard Tom Hax, Pascal Penava, Samira Krodel, Liliya Razova, Ricardo Buettner
2024 J jnl
Early-Stage Non-Severe Depression Detection Using a Novel Convolutional Neural Network Approach Based on Resting-State EEG Data.
IEEE Access
Pascal Penava, Ricardo Buettner
2024 J jnl
Oracle Bone Inscription Character Recognition Based on a Novel Convolutional Neural Network Architecture.
IEEE Access
Christopher Mai, Pascal Penava, Ricardo Buettner
2023 J jnl
A Novel Small-Data Based Approach for Decoding Yes/No-Decisions of Locked-In Patients Using Generative Adversarial Networks.
IEEE Access
Pascal Penava, 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