Pascal Penava

Orcid: 0009-0004-9870-8193

According to our database1, Pascal Penava authored at least 13 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of four.

Timeline

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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

A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition.
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


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