The primary focus of the “Computer Science & Engineering” Section 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, and Distributed Computing, as well as other chief technologies in this field.

As they are of 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 highly cited papers published in 2022 below:

“VoRtex Metaverse Platform for Gamified Collaborative Learning”
by Aleksandar Jovanović and Aleksandar Milosavljević
Electronics 2022, 11(3), 317; https://doi.org/10.3390/electronics11030317
Full text available online: https://www.mdpi.com/2079-9292/11/3/317

“A Systematic Review of the Applications of Multi-Criteria Decision Aid Methods (1977–2022)”
by Marcio Pereira Basílio, Valdecy Pereira, Helder Gomes Costa, Marcos Santos and Amartya Ghosh
Electronics 2022, 11(11), 1720; https://doi.org/10.3390/electronics11111720
Full text available online: https://www.mdpi.com/2079-9292/11/11/1720

“A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration”
by Deepak Ghimire, Dayoung Kil and Seong-heum Kim
Electronics 2022, 11(6), 945; https://doi.org/10.3390/electronics11060945
Full text available online: https://www.mdpi.com/2079-9292/11/6/945

“A Deep Learning Model for Network Intrusion Detection with Imbalanced Data”
by Yanfang Fu, Yishuai Du, Zijian Cao, Qiang Li and Wei Xiang
Electronics 2022, 11(6), 898; https://doi.org/10.3390/electronics11060898
Full text available online: https://www.mdpi.com/2079-9292/11/6/898

“Recent Advances in Pulse-Coupled Neural Networks with Applications in Image Processing”
by Haoran Liu, Mingzhe Liu, Dongfen Li, Wenfeng Zheng, Lirong Yin and Ruili Wang
Electronics 2022, 11(20), 3264; https://doi.org/10.3390/electronics11203264
Full text available online: https://www.mdpi.com/2079-9292/11/20/3264

“Applications of Federated Learning; Taxonomy, Challenges, and Research Trends”
by Momina Shaheen, Muhammad Shoaib Farooq, Tariq Umer and Byung-Seo Kim
Electronics 2022, 11(4), 670; https://doi.org/10.3390/electronics11040670
Full text available online: https://www.mdpi.com/2079-9292/11/4/670

“Deep Learning Methods for Accurate Skin Cancer Recognition and Mobile Application”
by Ioannis Kousis, Isidoros Perikos, Ioannis Hatzilygeroudis and Maria Virvou
Electronics 2022, 11(9), 1294; https://doi.org/10.3390/electronics11091294
Full text available online: https://www.mdpi.com/2079-9292/11/9/1294

“Lexicon-Based vs. Bert-Based Sentiment Analysis: A Comparative Study in Italian”
by Rosario Catelli, Serena Pelosi and Massimo Esposito
Electronics 2022, 11(3), 374; https://doi.org/10.3390/electronics11030374
Full text available online: https://www.mdpi.com/2079-9292/11/3/374

“Machine Learning for DDoS Attack Detection in Industry 4.0 CPPSs”
by Firooz B. Saghezchi, Georgios Mantas, Manuel A. Violas, A. Manuel de Oliveira Duarte and Jonathan Rodriguez
Electronics 2022, 11(4), 602; https://doi.org/10.3390/electronics11040602
Full text available online: https://www.mdpi.com/2079-9292/11/4/602

“User Engagement Comparison between Advergames and Traditional Advertising Using EEG: Does the User’s Engagement Influence Purchase Intention?”
by Ivonne Angelica Castiblanco Jimenez, Juan Sebastian Gomez Acevedo, Elena Carlotta Olivetti, Federica Marcolin, Luca Ulrich, Sandro Moos and Enrico Vezzetti
Electronics 2023, 12(1), 122; https://doi.org/10.3390/electronics12010122
Full text available online: https://www.mdpi.com/2079-9292/12/1/122