Editor’s Choice Articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.

You have free and unlimited access to the full texts of all the open access articles published in the journal Electronics (ISSN: 2079-9292). We welcome you to read the Editor’s Choice Articles published in 2022:

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. “Mobility-Aware Hybrid Flow Rule Cache Scheme in Software-Defined Access Networks”
by Youngjun Kim, Jinwoo Park and Yeunwoong Kyung
Electronics 2022, 11(1), 160; https://doi.org/10.3390/electronics11010160  
Available online: https://www.mdpi.com/2079-9292/11/1/160

3. “Automatic RTL Generation Tool of FPGAs for DNNs”
by Seojin Jang, Wei Liu, Sangun Park and Yongbeom Cho
Electronics 2022, 11(3), 402; https://doi.org/10.3390/electronics11030402
Available online: https://www.mdpi.com/2079-9292/11/3/402

4. “Bidimensional and Tridimensional Poincaré Maps in Cardiology: A Multiclass Machine Learning Study”
by Leandro Donisi, Carlo Ricciardi, Giuseppe Cesarelli, Armando Coccia, Federica Amitrano, Sarah Adamo and Giovanni D’Addio
Electronics 2022, 11(3), 448; https://doi.org/10.3390/electronics11030448  
Available online: https://www.mdpi.com/2079-9292/11/3/448

5. “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  
Available online: https://www.mdpi.com/2079-9292/11/3/496

6. “A Run-Time Reconfiguration Method for an FPGA-Based Electrical Capacitance Tomography System”
by Damian Wanta, Waldemar T. Smolik, Jacek Kryszyn, Przemysław Wróblewski and Mateusz Midura
Electronics 2022, 11(4), 545; https://doi.org/10.3390/electronics11040545  
Available online: https://www.mdpi.com/2079-9292/11/4/545

7. “Research on an Urban Low-Altitude Target Detection Method Based on Image Classification”
by Haiyan Jin, Yuxin Wu, Guodong Xu and Zhilu Wu
Electronics 2022, 11(4), 657; https://doi.org/10.3390/electronics11040657  
Available online: https://www.mdpi.com/2079-9292/11/4/657

8. “Smart Cities and Awareness of Sustainable Communities Related to Demand Response Programs: Data Processing with First-Order and Hierarchical Confirmatory Factor Analyses”
by Simona-Vasilica Oprea, Adela Bâra, Cristian-Eugen Ciurea and Laura Florentina Stoica
Electronics 2022, 11(7), 1157; https://doi.org/10.3390/electronics11071157  
Available online: https://www.mdpi.com/2079-9292/11/7/1157

9. “Neuron Circuit Failure and Pattern Learning in Electronic Spiking Neural Networks”
by Sumedha Gandharava, Robert C. Ivans, Benjamin R. Etcheverry and Kurtis D. Cantley
Electronics 2022, 11(9), 1392; https://doi.org/10.3390/electronics11091392  
Available online: https://www.mdpi.com/2079-9292/11/9/1392

10. “Numerical Evaluation of Complex Capacitance Measurement Using Pulse Excitation in Electrical Capacitance Tomography”
by Damian Wanta, Oliwia Makowiecka, Waldemar T. Smolik, Jacek Kryszyn, Grzegorz Domański, Mateusz Midura and Przemysław Wróblewski
Electronics 2022, 11(12), 1864; https://doi.org/10.3390/electronics11121864  
Available online: https://www.mdpi.com/2079-9292/11/12/1864

11. “The Diversification and Enhancement of an IDS Scheme for the Cybersecurity Needs of Modern Supply Chains”
by Dimitris Deyannis, Eva Papadogiannaki, Grigorios Chrysos, Konstantinos Georgopoulos and Sotiris Ioannidis
Electronics 2022, 11(13), 1944; https://doi.org/10.3390/electronics11131944  
Available online: https://www.mdpi.com/2079-9292/11/13/1944

12. “Improving FPGA Based Impedance Spectroscopy Measurement Equipment by Means of HLS Described Neural Networks to Apply Edge AI”
by Jorge Fe, Rafael Gadea-Gironés, Jose M. Monzo, Ángel Tebar-Ruiz and Ricardo Colom-Palero
Electronics 2022, 11(13), 2064; https://doi.org/10.3390/electronics11132064  
Available online: https://www.mdpi.com/2079-9292/11/13/2064

13. “High-Performance and Robust Binarized Neural Network Accelerator Based on Modified Content-Addressable Memory”
by Sureum Choi, Youngjun Jeon and Yeongkyo Seo
Electronics 2022, 11(17), 2780; https://doi.org/10.3390/electronics11172780  
Available online: https://www.mdpi.com/2079-9292/11/17/2780