All articles published in Electronics (ISSN: 2079-9292) are open access, and as such, you have free and unlimited access to the full text of all articles. We welcome you to read our notable papers in the field of artificial intelligence in electronics, which are listed below:

1. “YOLO-Drone: An Optimized YOLOv8 Network for Tiny UAV Object Detection”
by Xianxu Zhai, Zhihua Huang, Tao Li, Hanzheng Liu and Siyuan Wang
Electronics 2023, 12(17), 3664; https://doi.org/10.3390/electronics12173664
Available online: https://www.mdpi.com/2079-9292/12/17/3664

2. “A Scenario-Generic Neural Machine Translation Data Augmentation Method”
by Xiner Liu, Jianshu He, Mingzhe Liu, Zhengtong Yin, Lirong Yin and Wenfeng Zheng
Electronics 2023, 12(10), 2320; https://doi.org/10.3390/electronics12102320
Available online: https://www.mdpi.com/2079-9292/12/10/2320

3. “Enhancing Electrical Load Prediction Using a Bidirectional LSTM Neural Network”
by Christos Pavlatos, Evangelos Makris, Georgios Fotis, Vasiliki Vita and Valeri Mladenov
Electronics 2023, 12(22), 4652; https://doi.org/10.3390/electronics12224652
Available online: https://www.mdpi.com/2079-9292/12/22/4652

4. “Intelligent Robotics—A Systematic Review of Emerging Technologies and Trends”
by Josip Tomo Licardo, Mihael Domjan and Tihomir Orehovački
Electronics 2024, 13(3), 542; https://doi.org/10.3390/electronics13030542
Available online: https://www.mdpi.com/2079-9292/13/3/542

5. “Machine Learning and AI Technologies for Smart Wearables”
by Kah Phooi Seng, Li-Minn Ang, Eno Peter and Anthony Mmonyi
Electronics 2023, 12(7), 1509; https://doi.org/10.3390/electronics12071509
Available online: https://www.mdpi.com/2079-9292/12/7/1509

6. “IoT-Based Intrusion Detection System Using New Hybrid Deep Learning Algorithm”
by Sami Yaras and Murat Dener
Electronics 2024, 13(6), 1053; https://doi.org/10.3390/electronics13061053
Available online: https://www.mdpi.com/2079-9292/13/6/1053

7. “Depression Detection in Speech Using Transformer and Parallel Convolutional Neural Networks”
by Faming Yin, Jing Du, Xinzhou Xu, and Li Zhao
Electronics 2023, 12(2), 328; https://doi.org/10.3390/electronics12020328
Available online: https://www.mdpi.com/2079-9292/12/2/328

8. “Predictive Maintenance for Distribution System Operators in Increasing Transformers’ Reliability”
by Vasiliki Vita, Georgios Fotis, Veselin Chobanov, Christos Pavlatos and Valeri Mladenov
Electronics 2023, 12(6), 1356; https://doi.org/10.3390/electronics12061356
Available online: https://www.mdpi.com/2079-9292/12/6/1356

9. “Combining Machine Learning and Edge Computing: Opportunities, Challenges, Platforms, Frameworks, and Use Cases”
by Piotr Grzesik and Dariusz Mrozek
Electronics 2024, 13(3), 640; https://doi.org/10.3390/electronics13030640
Available online: https://www.mdpi.com/2079-9292/13/3/640

10. “Combining Machine Learning and Edge Computing: Opportunities, Challenges, Platforms, Frameworks, and Use Cases”
by J. de Curtò, I. de Zarzà, Gemma Roig, Juan Carlos Cano, Pietro Manzoni and Carlos T. Calafate
Electronics 2023, 12(13), 2814; https://doi.org/10.3390/electronics12132814
Available online: https://www.mdpi.com/2079-9292/12/13/2814

We would like to invite you to view and submit relevant papers to the journal Electronics.

Electronics Editorial Office