Electronics | Most Downloaded Papers in 2024 in the Section “Computer Science & Engineering”
The primary focus of the “Computer Science & Engineering” Section in Electronics (ISSN: 2079-9292) is the field of advanced computer science and engineering. It presents high-quality papers that address state-of-the-art technology, including deep tech, edge computing, fog computing, artificial intelligence, machine learning, deep learning, emotional systems, fintech, blockchain, IoT, Industry 4.0, smart cities, smart grids, intelligent textiles, distributed computing, and other significant technologies in this field.
As they are of an open access format, you have free and unlimited access to the full text of all the articles published in our journal. We welcome you to read our most downloaded papers in 2024 below:
“A Systematic Review of Synthetic Data Generation Techniques Using Generative AI”
by Mandeep Goyal and Qusay H. Mahmoud
Electronics 2024, 13(17), 3509; https://doi.org/10.3390/electronics13173509
Full text available online: https://www.mdpi.com/2079-9292/13/17/3509
“The Challenges of Machine Learning: A Critical Review”
by Enrico Barbierato and Alice Gatti
Electronics 2024, 13(2), 416; https://doi.org/10.3390/electronics13020416
Full text available online: https://www.mdpi.com/2079-9292/13/2/416
“A Social Perspective on AI in the Higher Education System: A Semisystematic Literature Review”
by Budur Turki Alshahrani, Salvatore Flavio Pileggi and Faezeh Karimi
Electronics 2024, 13(8), 1572; https://doi.org/10.3390/electronics13081572
Full text available online: https://www.mdpi.com/2079-9292/13/8/1572
“Prompt Engineering in Healthcare”
by Rajvardhan Patil, Thomas F. Heston and Vijay Bhuse
Electronics 2024, 13(15), 2961; https://doi.org/10.3390/electronics13152961
Full text available online: https://www.mdpi.com/2079-9292/13/15/2961
“Cardiac Healthcare Digital Twins Supported by Artificial Intelligence-Based Algorithms and Extended Reality—A Systematic Review”
by Zofia Rudnicka, Klaudia Proniewska, Mark Perkins and Agnieszka Pregowska
Electronics 2024, 13(5), 866; https://doi.org/10.3390/electronics13050866
Full text available online: https://www.mdpi.com/2079-9292/13/5/866
“How Artificial Intelligence (AI) Is Powering New Tourism Marketing and the Future Agenda for Smart Tourist Destinations”
by Lázaro Florido-Benítez and Benjamín del Alcázar Martínez
Electronics 2024, 13(21), 4151; https://doi.org/10.3390/electronics13214151
Full text available online: https://www.mdpi.com/2079-9292/13/21/4151
“Survey on AI Applications for Product Quality Control and Predictive Maintenance in Industry 4.0”
by Tojo Valisoa Andrianandrianina Johanesa, Lucas Equeter and Sidi Ahmed Mahmoudi
Electronics 2024, 13(5), 976; https://doi.org/10.3390/electronics13050976
Full text available online: https://www.mdpi.com/2079-9292/13/5/976
“IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities”
by Elisha Elikem Kofi Senoo, Lia Anggraini, Jacqueline Asor Kumi, Luna Bunga Karolina, Ebenezer Akansah, Hafeez Ayo Sulyman, Israel Mendonça and Masayoshi Aritsugi
Electronics 2024, 13(10), 1894; https://doi.org/10.3390/electronics13101894
Full text available online: https://www.mdpi.com/2079-9292/13/10/1894
“A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches”
by Prohim Tam, Seyha Ros, Inseok Song, Seungwoo Kang and Seokhoon Kim
Electronics 2024, 13(5), 994; https://doi.org/10.3390/electronics13050994
Full text available online: https://www.mdpi.com/2079-9292/13/5/994
by Zofia Rudnicka, Janusz Szczepanski and Agnieszka Pregowska
Electronics 2024, 13(4), 746; https://doi.org/10.3390/electronics13040746
Full text available online: https://www.mdpi.com/2079-9292/13/4/746