As all the articles published in Electronics (ISSN: 2079-9292) are open access, you have free and unlimited access to the full text of all articles. We welcome you to read our most downloaded papers in 2024 in the Section “Artificial Intelligence”, which are listed below.

1. “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

2. “Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis”
by Constantinos Halkiopoulos and Evgenia Gkintoni
Electronics 2024, 13(18), 3762; https://doi.org/10.3390/electronics13183762
Available online: https://www.mdpi.com/2079-9292/13/18/3762

3. “A Review of Immersive Technologies, Knowledge Representation, and AI for Human-Centered Digital Experiences”
by Nikolaos Partarakis and Xenophon Zabulis
Electronics 2024, 13(2), 269; https://doi.org/10.3390/electronics13020269
Available online: https://www.mdpi.com/2079-9292/13/2/269

4. “A Contemporary Survey on Deepfake Detection: Datasets, Algorithms, and Challenges”
by Liang Yu Gong and Xue Jun Li
Electronics 2024, 13(3), 585; https://doi.org/10.3390/electronics13030585
Available online: https://www.mdpi.com/2079-9292/13/3/585

5. “Web Application for Retrieval-Augmented Generation: Implementation and Testing”
by Irina Radeva, Ivan Popchev, Lyubka Doukovska and Miroslava Dimitrova
Electronics 2024, 13(7), 1361; https://doi.org/10.3390/electronics13071361
Available online: https://www.mdpi.com/2079-9292/13/7/1361

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. “Framework for Integrating Generative AI in Developing Competencies for Accounting and Audit Professionals”
by Ionuț-Florin Anica-Popa, Marinela Vrîncianu, Liana-Elena Anica-Popa, Irina-Daniela Cișmașu and Cătălin-Georgel Tudor
Electronics 2024, 13(13), 2621; https://doi.org/10.3390/electronics13132621
Available online: https://www.mdpi.com/2079-9292/13/13/2621

8. “Survey of Deep Learning Accelerators for Edge and Emerging Computing”
by Shahanur Alam, Chris Yakopcic, Qing Wu, Mark Barnell, Simon Khan and Tarek M. Taha
Electronics 2024, 13(15), 2988; https://doi.org/10.3390/electronics13152988
Available online: https://www.mdpi.com/2079-9292/13/15/2988

9. “Multi-Scale Fusion Uncrewed Aerial Vehicle Detection Based on RT-DETR”
by Minling Zhu and En Kong
Electronics 2024, 13(8), 1489; https://doi.org/10.3390/electronics13081489
Available online: https://www.mdpi.com/2079-9292/13/8/1489

10. “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

You are invited to view and submit relevant papers to the journal Electronics.

Electronics Editorial Office