Pascal Penava
Orcid: 0009-0004-9870-8193
According to our database1,
Pascal Penava
authored at least 13 papers
between 2023 and 2025.
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Bibliography
2025
A novel subject-independent deep learning approach for user behavior prediction in electronic markets based on electroencephalographic data.
Electron. Mark., December, 2025
A Systematic Literature Review of Machine Learning-Based Personality Trait Detection Using Electroencephalographic Data.
IEEE Access, 2025
Advancements in Landmine Detection: Deep Learning-Based Analysis With Thermal Drones.
IEEE Access, 2025
Deep Learning-Based Detection of Tuberculosis Using a Gaussian Chest X-Ray Image Filter as a Software Lens.
IEEE Access, 2025
Defect Detection in Industrial Soldering Processes Using Machine Learning: A Critical Literature Review.
IEEE Access, 2025
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, 2025
A Novel High Performance Object Identification Approach in Care Homes Using Gaussian Preprocessing.
IEEE Access, 2025
2024
Early-Stage Non-Severe Depression Detection Using a Novel Convolutional Neural Network Approach Based on Resting-State EEG Data.
IEEE Access, 2024
Oracle Bone Inscription Character Recognition Based on a Novel Convolutional Neural Network Architecture.
IEEE Access, 2024
A Novel Deep Learning-Based Approach for Defect Detection of Synthetic Leather Using Gaussian Filtering.
IEEE Access, 2024
IEEE Access, 2024
2023
A Novel Small-Data Based Approach for Decoding Yes/No-Decisions of Locked-In Patients Using Generative Adversarial Networks.
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