Technologies | Latest Papers Published in 2023–2024 on Machine Learning Applications: A Collection of Articles

1. “A Review of Deep Transfer Learning and Recent Advancements”
by Mohammadreza Iman, Hamid Reza Arabnia and Khaled Rasheed
Technologies 2023, 11(2), 40; https://doi.org/10.3390/technologies11020040
Available online: https://www.mdpi.com/2227-7080/11/2/40

2. “Utilization of Artificial Neural Networks for Precise Electrical Load Prediction”
by Christos Pavlatos, Evangelos Makris, Georgios Fotis, Vasiliki Vita and Valeri Mladenov
Technologies 2023, 11(3), 70; https://doi.org/10.3390/technologies11030070
Available online: https://www.mdpi.com/2227-7080/11/3/70

3. “Efficient Deep Learning-Based Data-Centric Approach for Autism Spectrum Disorder Diagnosis from Facial Images Using Explainable AI”
by Mohammad Shafiul Alam, Muhammad Mahbubur Rashid, Ahmed Rimaz Faizabadi, Hasan Firdaus Mohd Zaki, Tasfiq E. Alam, Md Shahin Ali, Kishor Datta Gupta and Md Manjurul Ahsan
Technologies 2023, 11(5), 115; https://doi.org/10.3390/technologies11050115
Available online: https://www.mdpi.com/2227-7080/11/5/115

4. “Towards a Bidirectional Mexican Sign Language–Spanish Translation System: A Deep Learning Approach”
by Jaime-Rodrigo González-Rodríguez, Diana-Margarita Córdova-Esparza, Juan Terven and Julio-Alejandro Romero-González
Technologies 2024, 12(1), 7; https://doi.org/10.3390/technologies12010007
Available online: https://www.mdpi.com/2227-7080/12/1/7

5. “A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic Vision”
by Nikoleta Manakitsa, George S. Maraslidis, Lazaros Moysis and George F. Fragulis
Technologies 2024, 12(2), 15; https://doi.org/10.3390/technologies12020015
Available online: https://www.mdpi.com/2227-7080/12/2/15

6. “Aircraft Skin Machine Learning-Based Defect Detection and Size Estimation in Visual Inspections”
by Angelos Plastropoulos, Kostas Bardis, George Yazigi, Nicolas P. Avdelidis and Mark Droznika
Technologies 2024, 12(9), 158; https://doi.org/10.3390/technologies12090158
Available online: https://www.mdpi.com/2227-7080/12/9/158

7. “A Hybrid Deep Learning Approach with Generative Adversarial Network for Credit Card Fraud Detection”
by Ibomoiye Domor Mienye, and Theo G. Swart
Technologies 2024, 12(10), 186; https://doi.org/10.3390/technologies12100186
Available online: https://www.mdpi.com/2227-7080/12/10/186

8. “Generative Models for Source Code: Fine-Tuning Techniques for Structured Pattern Learning”
by Valentina Franzoni, Silvia Tagliente and Alfredo Milani
Technologies 2024, 12(11), 219; https://doi.org/10.3390/technologies12110219
Available online: https://www.mdpi.com/2227-7080/12/11/219

9. “EEG-Based Mobile Robot Control Using Deep Learning and ROS Integration”
by Bianca Ghinoiu, Victor Vlădăreanu, Ana-Maria Travediu, Luige Vlădăreanu, Abigail Pop, Yongfei Feng and Andreea Zamfirescu
Technologies 2024, 12(12), 261; https://doi.org/10.3390/technologies12120261
Available online: https://www.mdpi.com/2227-7080/12/12/261