Electronics | Highly Cited Papers in 2021 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 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 2021 below:

1. “Biometric User Identification Based on Human Activity Recognition Using Wearable Sensors: An Experiment Using Deep Learning Models”
by Sakorn Mekruksavanich and Anuchit Jitpattanakul
Electronics 2021, 10(3), 308; https://doi.org/10.3390/electronics10030308
Available online: http://www.mdpi.com/2079-9292/10/3/308

2. “Artificial Neural Networks Based Optimization Techniques: A Review”
by Maher G. M. Abdolrasol, S. M. Suhail Hussain, Taha Selim Ustun, Mahidur R. Sarker, Mahammad A. Hannan, Ramizi Mohamed, Jamal Abd Ali, Saad Mekhilef and Abdalrhman Milad
Electronics 2021, 10(21), 2689; https://doi.org/10.3390/electronics10212689
Available online: http://www.mdpi.com/2079-9292/10/21/2689

3. “An Advanced CNN-LSTM Model for Cryptocurrency Forecasting”
by Ioannis E. Livieris, Niki Kiriakidou, Stavros Stavroyiannis and Panagiotis Pintelas
Electronics 2021, 10(3), 287; https://doi.org/10.3390/electronics10030287
Available online: https://www.mdpi.com/2079-9292/10/3/287

4. “Deep Convolutional Neural Network with RNNs for Complex Activity Recognition Using Wrist-Worn Wearable Sensor Data”
by Sakorn Mekruksavanich and Anuchit Jitpattanakul
Electronics 2021, 10(14), 1685; https://doi.org/10.3390/electronics10141685
Available online: http://www.mdpi.com/2079-9292/10/14/1685

5. “Novel Control Strategy for Enhancing Microgrid Operation Connected to Photovoltaic Generation and Energy Storage Systems”
by Dina Emara, Mohamed Ezzat, Almoataz Y. Abdelaziz, Karar Mahmoud, Matti Lehtonen and Mohamed M. F. Darwish
Electronics 2021, 10(11), 1261; https://doi.org/10.3390/electronics10111261
Available online: http://www.mdpi.com/2079-9292/10/11/1261

6. “Improved YOLOv3 Network for Insulator Detection in Aerial Images with Diverse Background Interference”
by Chuanyang Liu Yiquan Wu, Jingjing Liu and Zuo Sun
Electronics 2021, 10(7), 771; https://doi.org/10.3390/electronics10070771
Available online: http://www.mdpi.com/2079-9292/10/7/771

7. “EWOA-OPF: Effective Whale Optimization Algorithm to Solve Optimal Power Flow Problem”
by Mohammad H. Nadimi-Shahraki, Shokooh Taghian, Seyedali Mirjalili, Laith Abualigah, Mohamed Abd Elaziz and Diego Oliva
Electronics 2021, 10(23), 2975; https://doi.org/10.3390/electronics10232975
Available online: http://www.mdpi.com/2079-9292/10/23/2975

8. “Concrete Cracks Detection and Monitoring Using Deep Learning-Based Multiresolution Analysis”
by Ahcene Arbaoui Abdeldjalil Ouahabi, Sébastien Jacques and Madina Hamiane
Electronics 2021, 10(15), 1772; https://doi.org/10.3390/electronics10151772
Available online: http://www.mdpi.com/2079-9292/10/15/1772

9. “A Survey on Machine Learning-Based Performance Improvement of Wireless Networks: PHY, MAC and Network Layer”
by Merima Kulin, Tarik Kazaz, Eli De Poorter and Ingrid Moerman
Electronics 2021, 10(3), 318; https://doi.org/10.3390/electronics10030318
Available online: http://www.mdpi.com/2079-9292/10/3/318

10. “Review on Generative Adversarial Networks: Focusing on Computer Vision and Its Applications”
by Sung-Wook Park, Jae-Sub Ko, Jun-Ho Huh and Jong-Chan Kim
Electronics 2021, 10(10), 1216; https://doi.org/10.3390/electronics10101216
Available online: https://www.mdpi.com/2079-9292/10/10/1216