The “Artificial Intelligence Circuits and Systems (AICAS)” Section of Electronics (ISSN: 2079-9292) covers topics of interest within hardware-based deep learning AI and algorithmic deep learning AI using machine learning. It is dedicated to the publication of articles not only from the listed areas but also from similar or related areas. We encourage the submission of original contributions derived from theoretical and/or application-oriented research studies.

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 and 2022 below:

1. “FPGA Implementation for CNN-Based Optical Remote Sensing Object Detection”
by Ning Zhang, Xin Wei, He Chen and Wenchao Liu
Electronics 2021, 10(3), 282; https://doi.org/10.3390/electronics10030282
Full text available online: https://www.mdpi.com/2079-9292/10/3/282

2. “Accelerating Neural Network Inference on FPGA-Based Platforms—A Survey”
by Ran Wu, Xinmin Guo, Jian Du and Junbao Li
Electronics 2021, 10(9), 1025; https://doi.org/10.3390/electronics10091025
Full text available online: https://www.mdpi.com/2079-9292/10/9/1025

3. “Recurrent Neural Network for Human Activity Recognition in Embedded Systems Using PPG and Accelerometer Data”
by Michele Alessandrini, Giorgio Biagetti, Paolo Crippa, Laura Falaschetti and Claudio Turchetti
Electronics 2021, 10(14), 1715; https://doi.org/10.3390/electronics10141715
Full text available online: https://www.mdpi.com/2079-9292/10/14/1715

4. “Underwater Target Recognition Based on Improved YOLOv4 Neural Network”
by Lingyu Chen, Meicheng Zheng, Shunqiang Duan, Weilin Luo and Ligang Yao
Electronics 2021, 10(14), 1634; https://doi.org/10.3390/electronics10141634
Full text available online: https://www.mdpi.com/2079-9292/10/14/1634

5. “Design and Implementation of Deep Learning Based Contactless Authentication System Using Hand Gestures”
by Aveen Dayal, Naveen Paluru, Linga Reddy Cenkeramaddi, Soumya J. and Phaneendra K. Yalavarthy
Electronics 2021, 10(2), 182; https://doi.org/10.3390/electronics10020182
Full text available online: https://www.mdpi.com/2079-9292/10/2/182

6. “Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning”
by Stanisław Saganowski
Electronics 2022, 11(3), 496; https://doi.org/10.3390/electronics11030496
Full text available online: https://www.mdpi.com/2079-9292/11/3/496

7. “An Efficient FPGA-Based Convolutional Neural Network for Classification: Ad-MobileNet”
by Safa Bouguezzi, Hana Ben Fredj, Tarek Belabed, Carlos Valderrama, Hassene Faiedh and Chokri Souani
Electronics 2021, 10(18), 2272; https://doi.org/10.3390/electronics10182272
Full text available online: https://www.mdpi.com/2079-9292/10/18/2272

8. “FPGA Accelerator for Gradient Boosting Decision Trees”
by Adrián Alcolea and Javier Resano
Electronics 2021, 10(3), 314; https://doi.org/10.3390/electronics10030314
Full text available online: https://www.mdpi.com/2079-9292/10/3/314

9. “Relations between Electronics, Artificial Intelligence and Information Society through Information Society Rules”
by Matjaž Gams and Tine Kolenik
Electronics 2021, 10(4), 514; https://doi.org/10.3390/electronics10040514
Full text available online: https://www.mdpi.com/2079-9292/10/4/514

10. “Ultra-Short Window Length and Feature Importance Analysis for Cognitive Load Detection from Wearable Sensors”
by Jaakko Tervonen, Kati Pettersson and Jani Mäntyjärvi
Electronics 2021, 10(5), 613; https://doi.org/10.3390/electronics10050613
Full text available online: https://www.mdpi.com/2079-9292/10/5/613