Electronics | Most Viewed Papers in 2024 in the “Artificial Intelligence” Section

As all of the articles published in Electronics (ISSN: 2079-9292) are of open access format, you have free and unlimited access to the full text of all articles. We invite you to read our most viewed 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. “Artificial Intelligence Tools for the Agriculture Value Chain: Status and Prospects”
by Fotis Assimakopoulos, Costas Vassilakis, Dionisis Margaris, Konstantinos Kotis and Dimitris Spiliotopoulos
Electronics 2024, 13(22), 4362; https://doi.org/10.3390/electronics13224362
Available online: https://www.mdpi.com/2079-9292/13/22/4362

4. “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

5. “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: http://www.mdpi.com/2079-9292/13/15/2988

6. “A Systematic Review of Deep Learning Techniques for Phishing Email Detection”
by Phyo Htet Kyaw, Jairo Gutierrez and Akbar Ghobakhlou
Electronics 2024, 13(19), 3823; https://doi.org/10.3390/electronics13193823
Available online: https://www.mdpi.com/2079-9292/13/19/3823

7. “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: http://www.mdpi.com/2079-9292/13/3/640

8. “Explainable Artificial Intelligence-Based Decision Support Systems: A Recent Review”
by Georgios Kostopoulos, Gregory Davrazos and Sotiris Kotsiantis
Electronics 2024, 13(14), 2842; https://doi.org/10.3390/electronics13142842
Available online: https://www.mdpi.com/2079-9292/13/14/2842

9. “Deep Learning for Abnormal Human Behavior Detection in Surveillance Videos—A Survey”
by Leonard Matheus Wastupranata, Seong G. Kong and Lipo Wang
Electronics 2024, 13(13), 2579; https://doi.org/10.3390/electronics13132579
Available online: https://www.mdpi.com/2079-9292/13/13/2579

10. “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: http://www.mdpi.com/2079-9292/13/13/2621

11. “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

12. “Development of AI-Based Prediction of Heart Attack Risk as an Element of Preventive Medicine”
by Izabela Rojek, Piotr Kotlarz, Mirosław Kozielski, Mieczysław Jagodziński and Zbyszko Królikowski
Electronics 2024, 13(2), 272; https://doi.org/10.3390/electronics13020272
Available online: https://www.mdpi.com/2079-9292/13/2/272

13. “Next-Gen Dynamic Hand Gesture Recognition: MediaPipe, Inception-v3 and LSTM-Based Enhanced Deep Learning Model”
by Yaseen, Oh-Jin Kwon, Jaeho Kim, Sonain Jamil, Jinhee Lee and Faiz Ullah
Electronics 2024, 13(16), 3233; https://doi.org/10.3390/electronics13163233
Available online: https://www.mdpi.com/2079-9292/13/16/3233

14. “Surveying Racial Bias in Facial Recognition: Balancing Datasets and Algorithmic Enhancements”
by Andrew Sumsion, Shad Torrie, Dah-Jye Lee and Zheng Sun
Electronics 2024, 13(12), 2317; https://doi.org/10.3390/electronics13122317
Available online: https://www.mdpi.com/2079-9292/13/12/2317

15. “AI-Assisted Programming Tasks Using Code Embeddings and Transformers”
by Sotiris Kotsiantis, Vassilios Verykios and Manolis Tzagarakis
Electronics 2024, 13(4), 767; https://doi.org/10.3390/electronics13040767
Available online: https://www.mdpi.com/2079-9292/13/4/767

We invite you to read and submit relevant papers to the journal Electronics.

Electronics Editorial Office