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29 March 2024
Electronics | Highly Cited Papers in 2022 in the Section “Artificial Intelligence”

The “Artificial Intelligence” Section of the journal Electronics (ISSN: 2079-9292) 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 all of the articles published in our journal are in an open access format, you have free and unlimited access to the full texts. We welcome you to read our most highly cited papers published in 2022 listed below:

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

2. “Human-Computer Interaction in Customer Service: The Experience with AI Chatbots—A Systematic Literature Review”
by Luminița Nicolescu and Monica Teodora Tudorache
Electronics 2022, 11(10), 1579; https://doi.org/10.3390/electronics11101579
Available online: https://www.mdpi.com/2079-9292/11/10/1579

3. “A Systematic Review on Oral Interactions in Robot-Assisted Language Learning”
by Vivien Lin, Hui-Chin Yeh and Nian-Shing Chen
Electronics 2022, 11(2), 290; https://doi.org/10.3390/electronics11020290
Available online: https://www.mdpi.com/2079-9292/11/2/290

4. “Using Deep Learning Networks to Identify Cyber Attacks on Intrusion Detection for In-Vehicle Networks”
by Hsiao-Chung Lin, Ping Wang, Kuo-Ming Chao, Wen-Hui Lin and Jia-Hong Chen
Electronics 2022, 11(14), 2180; https://doi.org/10.3390/electronics11142180
Available online: https://www.mdpi.com/2079-9292/11/14/2180

5. “Grey Wolf Optimizer in Design Process of the Recurrent Wavelet Neural Controller Applied for Two-Mass System”
by Mateusz Zychlewicz, Radoslaw Stanislawski and Marcin Kaminski
Electronics 2022, 11(2), 177; https://doi.org/10.3390/electronics11020177
Available online: https://www.mdpi.com/2079-9292/11/2/177

6. “Using Deep Learning Techniques in Forecasting Stock Markets by Hybrid Data with Multilingual Sentiment Analysis”
by Ying-Lei Lin, Chi-Ju Lai and Ping-Feng Pai
Electronics 2022, 11(21), 3513; https://doi.org/10.3390/electronics11213513
Available online: https://www.mdpi.com/2079-9292/11/21/3513

7. “Deep Learning-Based Attack Detection and Classification in Android Devices”
by Alfonso Gómez and Antonio Muñoz
Electronics 2023, 12(15), 3253; https://doi.org/10.3390/electronics12153253
Available online: https://www.mdpi.com/2079-9292/12/15/3253

8. “Low-Power On-Chip Implementation of Enhanced SVM Algorithm for Sensors Fusion-Based Activity Classification in Lightweighted Edge Devices”
by Juneseo Chang, Myeongjin Kang and Daejin Park
Electronics 2022, 11(1), 139; https://doi.org/10.3390/electronics11010139
Available online: https://www.mdpi.com/2079-9292/11/1/139

9. “Uncertainty-Based Rejection in Machine Learning: Implications for Model Development and Interpretability”
by Marília Barandas, Duarte Folgado, Ricardo Santos, Raquel Simão and Hugo Gamboa
Electronics 2022, 11(3), 396; https://doi.org/10.3390/electronics11030396
Available online: https://www.mdpi.com/2079-9292/11/3/396

10. “Semantic Conceptual Framework for Environmental Monitoring and Surveillance—A Case Study on Forest Fire Video Monitoring and Surveillance”
by Ljiljana Šerić, Antonia Ivanda, Marin Bugarić and Maja Braović
Electronics 2022, 11(2), 275; https://doi.org/10.3390/electronics11020275
Available online: https://www.mdpi.com/2079-9292/11/2/275

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