Best Paper Award

Dear Colleagues,

We are pleased to announce the “Electronics 2023 Best Paper Award” for research and review articles published in Electronics from 1 January to 31 December in 2023. One review and two research articles will receive an award each. The papers will be selected after a thorough evaluation by the journal Award Committee led by the Editor-in-Chief, Prof. Dr. Flavio Canavero.

Selection Criteria:

The papers will be selected by the journal Award Committee according to the following criteria:

– Scientific merit and broad impact;
– Originality of the research objectives and/or the ideas presented;
– Creativity of the study design or uniqueness of the approaches and concepts;
– Clarity of presentation;
– Citations and downloads.

The Prize:

– One review award: CHF 500 and a chance to publish a paper free of charge in Electronics in 2025 after peer review;
– Two research articles award: CHF 500 and a chance to publish a paper free of charge in Electronics in 2025 after peer review.
– Each winner will also receive a certificate.

The winners will be announced on the journal website on 31 March 2025.

Kind regards,
Electronics Editorial Office.

 
Electronics Best Paper Award
 
Winner announcement: 31 March 2025

Eligibility for the Award

– Papers published in Electronics from 1 January to 31 December in 2023;

– Open to all career levels;

– Both regular and Special Issue submissions will be considered.

 
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
Back to TopTop