Best Paper Award

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Dear Colleagues,

We are pleased to announce the winners of the Electronics 2019 Best Paper Awards. All papers published in 2019 in Electronics were considered for the award. After a thorough evaluation of the originality and significance of the papers, citations, and downloads, the two winning papers, which were nominated by the Journal’s Award Committee, have been selected.

Article

Assessment of Dual Frequency GNSS Observations from a Xiaomi Mi 8 Android Smartphone and Positioning Performance Analysis
By Umberto Robustelli, Valerio Baiocchi and Giovanni Pugliano
Electronics 2019, 8(1), 91.

Review

A State-of-the-Art Survey on Deep Learning Theory and Architectures
By Md Zahangir Alom, Tarek M. Taha, Chris Yakopcic, Stefan Westberg, Paheding Sidike, Mst Shamima Nasrin, Mahmudul Hasan, Brian C. Van Essen, Abdul A. S. Awwal and Vijayan K. Asari
Electronics 2019, 8(3), 292.

The authors will receive an award of 400 CHF, a certificate and an opportunity to publish one paper free of charge before 31 December 2021, after the normal peer review procedure. We believe the above papers represent valuable contributions to Electronics and the scientific literature. We warmly congratulate the winners.

Electronics Best Paper Award

Winners announced

Eligibility and Requirements

– All papers published in Electronics will be eligible (Both regular and Special Issue submissions).

Past Winners

Winner

Review
39 Citations
19,773 Views
24 Pages
Download PDF
Solid State Transformers: A Critical Review of Projects with Relevant Prototypes and Demonstrators
David Cervero,
Maria Fotopoulou,
Jesús Muñoz-Cruzado,
Dimitrios Rakopoulos,
Fotis Stergiopoulos,
Nikos Nikolopoulos,
Spyros Voutetakis and
José Francisco Sanz
Electronics2023, 12(4), 931;https://doi.org/10.3390/electronics12040931
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13 February 2023
The ongoing energy transition has changed the architecture of electricity networks in ways that conventional power transformers are not able to cope with the new required functionalities. For this purpose, the solid state transformer (SST), which com...
Full Article
Article
52 Citations
6,199 Views
18 Pages
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Distributed Deep Neural-Network-Based Middleware for Cyber-Attacks Detection in Smart IoT Ecosystem: A Novel Framework and Performance Evaluation Approach
Guru Bhandari,
Andreas Lyth,
Andrii Shalaginov and
Tor-Morten Grønli
Electronics2023, 12(2), 298;https://doi.org/10.3390/electronics12020298
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6 January 2023
Cyberattacks always remain the major threats and challenging issues in the modern digital world. With the increase in the number of internet of things (IoT) devices, security challenges in these devices, such as lack of encryption, malware, ransomwar...
Full Article
Article
51 Citations
12,636 Views
23 Pages
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Predictive Maintenance for Distribution System Operators in Increasing Transformers’ Reliability
Vasiliki Vita,
Georgios Fotis,
Veselin Chobanov,
Christos Pavlatos and
Valeri Mladenov
Electronics2023, 12(6), 1356;https://doi.org/10.3390/electronics12061356
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12 March 2023
Power transformers’ reliability is of the highest importance for distribution networks. A possible failure of them can interrupt the supply to consumers, which will cause inconvenience to them and loss of revenue for electricity companies. Addi...
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