Electronics | Highly Cited Papers in 2022 in the Section “Artificial Intelligence”

The Section “Artificial Intelligence” mainly covers topics of interest within unique hardware-based deep learning AI and algorithmic deep learning AI using machine learning. The purpose of this Section is to bring together researchers and engineers from both academia and the industry to present novel ideas and solid research on the hardware and algorithmic aspects of advanced applications of deep learning-based AI.

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:

1. “A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields”
by Hyeyoung Ko, Suyeon Lee, Yoonseo Park and Anna Choi
Electronics 2022, 11(1), 141; https://doi.org/10.3390/electronics11010141
Available online: https://www.mdpi.com/2079-9292/11/1/141

2. “User OCEAN Personality Model Construction Method Using a BP Neural Network”
by Xiaomei Qin, Zhixin Liu, Yuwei Liu, Shan Liu, Bo Yang, Lirong Yin, Mingzhe Liu and Wenfeng Zheng
Electronics 2022, 11(19), 3022; https://doi.org/10.3390/electronics11193022
Available online: https://www.mdpi.com/2079-9292/11/19/3022

3. “Hybridizing of Whale and Moth-Flame Optimization Algorithms to Solve Diverse Scales of Optimal Power Flow Problem”
by Mohammad H. Nadimi-Shahraki, Ali Fatahi, Hoda Zamani, Seyedali Mirjalili and Diego Oliva
Electronics 2022, 11(5), 831; https://doi.org/10.3390/electronics11050831
Available online: https://www.mdpi.com/2079-9292/11/5/831

4. “Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications”
by Abdelazim G. Hussien, Laith Abualigah, Raed Abu Zitar, Fatma A. Hashim, Mohamed Amin, Abeer Saber, Khaled H. Almotairi and Amir H. Gandomi
Electronics 2022, 11(12), 1919; https://doi.org/10.3390/electronics11121919
Available online: https://www.mdpi.com/2079-9292/11/12/1919

5. “Applying Data Mining and Artificial Intelligence Techniques for High Precision Measuring of the Two-Phase Flow’s Characteristics Independent of the Pipe’s Scale Layer”
by Abdulilah Mohammad Mayet, Ahmed S. Salama, Seyed Mehdi Alizadeh, Slavko Nesic, John William Grimaldo Guerrero, Ehsan Eftekhari-Zadeh, Ehsan Nazemi and Abdullah M. Iliyasu
Electronics 2022, 11(3), 459; https://doi.org/10.3390/electronics11030459
Available online: https://www.mdpi.com/2079-9292/11/3/459

6. “Enhanced Credit Card Fraud Detection Model Using Machine Learning”
by Noor Saleh Alfaiz and Suliman Mohamed Fati
Electronics 2022, 11(4), 662; https://doi.org/10.3390/electronics11040662
Available online: https://www.mdpi.com/2079-9292/11/4/662

7. “A Survey of Trajectory Planning Techniques for Autonomous Systems”
by Imran Mir, Faiza Gul, Suleman Mir, Mansoor Ahmed Khan, Nasir Saeed, Laith Abualigah, Belal Abuhaija and Amir H. Gandomi
Electronics 2022, 11(18), 2801; https://doi.org/10.3390/electronics11182801
Available online: https://www.mdpi.com/2079-9292/11/18/2801

8. “Effect of Feature Selection on the Accuracy of Music Popularity Classification Using Machine Learning Algorithms”
by Faheem Khan, Ilhan Tarimer, Hathal Salamah Alwageed, Buse Cennet Karadağ, Muhammad Fayaz, Akmalbek Bobomirzaevich Abdusalomov and Young-Im Cho
Electronics 2022, 11(21), 3518; https://doi.org/10.3390/electronics11213518
Available online: https://www.mdpi.com/2079-9292/11/21/3518

9. “Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images”
by Miodrag Zivkovic, Nebojsa Bacanin, Milos Antonijevic, Bosko Nikolic, Goran Kvascev, Marina Marjanovic and Nikola Savanovic
Electronics 2022, 11(22), 3798; https://doi.org/10.3390/electronics11223798
Available online: https://www.mdpi.com/2079-9292/11/22/3798

10. “A Review of Machine Learning Techniques in Analog Integrated Circuit Design Automation”
by Rayan Mina, Chadi Jabbour and George E. Sakr
Electronics 2022, 11(3), 435; https://doi.org/10.3390/electronics11030435
Available online: https://www.mdpi.com/2079-9292/11/3/435