Best Paper Award

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 2019 Best Paper Award
 

Eligibility and Requirements

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

Winner

26 pages, 2902 KiB  
Review
A Review of Wireless Power Transfer Systems for Electric Vehicle Battery Charging with a Focus on Inductive Coupling
by Iman Okasili, Ahmad Elkhateb and Timothy Littler
Electronics 2022, 11(9), 1355; https://doi.org/10.3390/electronics11091355 - 24 Apr 2022
13 pages, 2596 KiB  
Article
A Deep Learning Model for Network Intrusion Detection with Imbalanced Data
by Yanfang Fu, Yishuai Du, Zijian Cao, Qiang Li and Wei Xiang
Electronics 2022, 11(6), 898; https://doi.org/10.3390/electronics11060898 - 14 Mar 2022
14 pages, 1746 KiB  
Article
Machine Learning for DDoS Attack Detection in Industry 4.0 CPPSs
by Firooz B. Saghezchi, Georgios Mantas, Manuel A. Violas, A. Manuel de Oliveira Duarte and Jonathan Rodriguez
Electronics 2022, 11(4), 602; https://doi.org/10.3390/electronics11040602 - 16 Feb 2022

Award Committee

Prof. Dr. Flavio Canavero Chairman
Politecnico di Torino
Prof. Kostas Karpouzis
Panteion University of Social and Political Sciences
Prof. Manuel Arrebola
Universidad de Oviedo
Prof. Jingyang Fang

Winner

13 pages, 2243 KiB  
Article
Semi-Automatic Guidance vs. Manual Guidance in Agriculture: A Comparison of Work Performance in Wheat Sowing
by Antonio Scarfone, Rodolfo Picchio, Angelo del Giudice, Francesco Latterini, Paolo Mattei, Enrico Santangelo and Alberto Assirelli
Electronics 2021, 10(7), 825; https://doi.org/10.3390/electronics10070825 - 31 Mar 2021
30 pages, 2107 KiB  
Article
Towards Human Stress and Activity Recognition: A Review and a First Approach Based on Low-Cost Wearables
by Juan Antonio Castro-García, Alberto Jesús Molina-Cantero, Isabel María Gómez-González, Sergio Lafuente-Arroyo and Manuel Merino-Monge
Electronics 2022, 11(1), 155; https://doi.org/10.3390/electronics11010155 - 4 Jan 2022

Award Committee

Prof. Dr. Flavio Canavero Chairman
Politecnico di Torino

Winner

24 pages, 5982 KiB  
Review
Challenges and Applications of Emerging Nonvolatile Memory Devices
by Writam Banerjee
Electronics 2020, 9(6), 1029; https://doi.org/10.3390/electronics9061029 - 22 Jun 2020
29 pages, 10918 KiB  
Article
Sentiment Analysis Based on Deep Learning: A Comparative Study
by Nhan Cach Dang, María N. Moreno-García and Fernando De la Prieta
Electronics 2020, 9(3), 483; https://doi.org/10.3390/electronics9030483 - 14 Mar 2020

Award Committee

Prof. Dr. Flavio Canavero Chairman
Politecnico di Torino

Winner

16 pages, 3978 KiB  
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; https://doi.org/10.3390/electronics8010091 - 15 Jan 2019
66 pages, 13905 KiB  
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; https://doi.org/10.3390/electronics8030292 - 5 Mar 2019
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