For publication in the “Computer Science & Engineering” Section, we would like to invite submissions on advanced theories and technologies across a wide spectrum of research. These can be related to computer science and engineering, 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, as well as other chief technologies in this field. We hope to present state-of-the-art technologies in this Section.

As they are published in an Open Access format, you have free and unlimited access to the full text of all the articles published in our journal. We encourage you to read our most highly cited papers published in 2022 listed below.

1. “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
Available online: https://www.mdpi.com/2079-9292/11/11/1720

2. “A Hybrid Deep Learning-Based Approach for Brain Tumor Classification”
by Asaf Raza, Huma Ayub, Javed Ali Khan, Ijaz Ahmad, Ahmed S. Salama, Yousef Ibrahim Daradkeh, Danish Javeed, Ateeq Ur Rehman and Habib Hamam
Electronics 2022, 11(7), 1146; https://doi.org/10.3390/electronics11071146
Available online: https://www.mdpi.com/2079-9292/11/7/1146

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

4. “Blockchain for IoT Applications: Taxonomy, Platforms, Recent Advances, Challenges and Future Research Directions”
by Abdelzahir Abdelmaboud, Abdelmuttlib Ibrahim Abdalla Ahmed, Mohammed Abaker, Taiseer Abdalla Elfadil Eisa, Hashim Albasheer, Sara Abdelwahab Ghorashi and Faten Khalid Karim
Electronics 2022, 11(4), 630; https://doi.org/10.3390/electronics11040630
Available online: https://www.mdpi.com/2079-9292/11/4/630

5. “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
Available online: https://www.mdpi.com/2079-9292/11/6/898

6. “Detecting Cybersecurity Attacks in Internet of Things Using Artificial Intelligence Methods: A Systematic Literature Review”
by Mujaheed Abdullahi, Yahia Baashar, Hitham Alhussian, Ayed Alwadain, Norshakirah Aziz, Luiz Fernando Capretz and Said Jadid Abdulkadir
Electronics 2022, 11(2), 198; https://doi.org/10.3390/electronics11020198
Available online: https://www.mdpi.com/2079-9292/11/2/198

7. “Machine-Learning-Based Darknet Traffic Detection System for IoT Applications”
by Qasem Abu Al-Haija, Moez Krichen and Wejdan Abu Elhaija
Electronics 2022, 11(4), 556; https://doi.org/10.3390/electronics11040556
Available online: https://www.mdpi.com/2079-9292/11/4/556

8. “Forensic Analysis on Internet of Things (IoT) Device Using Machine-to-Machine (M2M) Framework”
by Muhammad Shoaib Mazhar, Yasir Saleem, Ahmad Almogre, Jehangir Arshad, Mujtaba Hussain Jaffery, Ateeq Ur Rehman, Muhammad Shafiq and Habib Hamam
Electronics 2022, 11(7), 1126; https://doi.org/10.3390/electronics11071126
Available online: https://www.mdpi.com/2079-9292/11/7/1126

9. “A Lightweight and Practical Anonymous Authentication Protocol Based on Bit-Self-Test PUF”
by Yang An, Yuejiao Zhang, Wenjun Cao, Zhiyan Tong and Zhangqing He
Electronics 2022, 11(5), 772; https://doi.org/10.3390/electronics11050772
Available online: https://www.mdpi.com/2079-9292/11/5/772

10. “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
Available online: https://www.mdpi.com/2079-9292/11/6/945

11. “Classification and Analysis of Pistachio Species with Pre-Trained Deep Learning Models”
by Dilbag Singh, Yavuz Selim Taspinar, Ramazan Kursun, Ilkay Cinar, Murat Koklu, Ilker Ali Ozkan and Heung-No Lee
Electronics 2022, 11(7), 981; https://doi.org/10.3390/electronics11070981
Available online: https://www.mdpi.com/2079-9292/11/7/981

12. “Automatic Face Mask Detection System in Public Transportation in Smart Cities Using IoT and Deep Learning”
by Tamilarasan Ananth Kumar, Rajendrane Rajmohan, Muthu Pavithra, Sunday Adeola Ajagbe, Rania Hodhod and Tarek Gaber
Electronics 2022, 11(6), 904; https://doi.org/10.3390/electronics11060904
Available online: https://www.mdpi.com/2079-9292/11/6/904

13. “The Role of Quality Measurements in Enhancing the Usability of Mobile Learning Applications during COVID-19”
by Mohammed Amin Almaiah, Fahima Hajjej, Rima Shishakly, Abdalwali Lutfi, Ali Amin and Ali Bani Awad
Electronics 2022, 11(13), 1951; https://doi.org/10.3390/electronics11131951
Available online: https://www.mdpi.com/2079-9292/11/13/1951

14. Determinants Influencing the Continuous Intention to Use Digital Technologies in Higher Education
by Mohammed Amin Almaiah, Raghad Alfaisal, Said A. Salloum, Shaha Al-Otaibi, Omar Said Al Sawafi, Rana Saeed Al-Maroof, Abdalwali Lutfi, Mahmaod Alrawad, Ahmed Al Mulhem and Ali Bani Awad
Electronics 2022, 11(18), 2827; https://doi.org/10.3390/electronics11182827
Available online: https://www.mdpi.com/2079-9292/11/18/2827

15. “Optimized Deep Learning Algorithms for Tomato Leaf Disease Detection with Hardware Deployment”
by Hesham Tarek, Hesham Aly, Saleh Eisa and Mohamed Abul-Soud
Electronics 2022, 11(1), 140; https://doi.org/10.3390/electronics11010140
Available online: https://www.mdpi.com/2079-9292/11/1/140

16. “A Machine Learning Method for Detection of Surface Defects on Ceramic Tiles Using Convolutional Neural Networks”
by Okeke Stephen, Uchenna Joseph Maduh and Mangal Sain
Electronics 2022, 11(1), 55; https://doi.org/10.3390/electronics11010055
Available online: https://www.mdpi.com/2079-9292/11/1/55

17. “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
Available online: https://www.mdpi.com/2079-9292/11/20/3264

18. “Factors Influencing Students’ Continuous Intentions for Using Micro-Lectures in the Post-COVID-19 Period: A Modification of the UTAUT-2 Approach”
by Tommy Tanu Wijaya and Robert Weinhandl
Electronics 2022, 11(13), 1924; https://doi.org/10.3390/electronics11131924
Available online: https://www.mdpi.com/2079-9292/11/13/1924

19. “IoMT-Based Platform for E-Health Monitoring Based on the Blockchain”
by Jalel Ktari, Tarek Frikha, Nader Ben Amor, Leila Louraidh, Hela Elmannai and Monia Hamdi
Electronics 2022, 11(15), 2314; https://doi.org/10.3390/electronics11152314
Available online: https://www.mdpi.com/2079-9292/11/15/2314

20. “BAIV: An Efficient Blockchain-Based Anonymous Authentication and Integrity Preservation Scheme for Secure Communication in VANETs”
by Azees Maria, Arun Sekar Rajasekaran, Fadi Al-Turjman, Chadi Altrjman and Leonardo Mostarda
Electronics 2022, 11(3), 488; https://doi.org/10.3390/electronics11030488
Available online: https://www.mdpi.com/2079-9292/11/3/488