Electronics 2023, 12(4), 931; https://doi.org/10.3390/electronics12040931 - 13 Feb 2023
Best Paper Award
Dear Colleagues,
We are pleased to announce the winners of the Electronics 2022 Best Paper Award. All papers published in 2022 in Electronics were considered for the award. After a thorough evaluation of the originality and significance of the papers, citations, and downloads, three winners were selected.
One 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; doi:10.3390/electronics11091355
Two Research Articles:
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; doi:10.3390/electronics11060898
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; doi:10.3390/electronics11040602
Each winner will receive CHF 500, a chance to publish a paper free of charge in Electronics in 2024 after peer review, and a certificate.
Please join us in congratulating the winners of the Electronics 2022 Best Paper Award. We would also like to take this opportunity to thank all of our authors for their continued support of Electronics.
Kind regards,
Electronics Editorial Office
Electronics Best Paper Award
Eligibility and Requirements
– All papers published in Electronics will be eligible (Both regular and Special Issue submissions).
Past Winners
Year:
Winner
Solid State Transformers: A Critical Review of Projects with Relevant Prototypes and Demonstrators
Predictive Maintenance for Distribution System Operators in Increasing Transformers’ Reliability
Electronics 2023, 12(6), 1356; https://doi.org/10.3390/electronics12061356 - 12 Mar 2023
Award Committee
Prof. Dr. Flavio Canavero
Chairman
Politecnico di Torino, Italy
Prof. Dr. Bo Ai
Beijing Jiaotong University, China
Prof. Dr. Costas Psychalinos
University of Patras, Greece
Dr. Djuradj Budimir
University of Westminster, UK
Winner
A Review of Wireless Power Transfer Systems for Electric Vehicle Battery Charging with a Focus on Inductive Coupling
Electronics 2022, 11(9), 1355; https://doi.org/10.3390/electronics11091355 - 24 Apr 2022
A Deep Learning Model for Network Intrusion Detection with Imbalanced Data
Electronics 2022, 11(6), 898; https://doi.org/10.3390/electronics11060898 - 14 Mar 2022
Machine Learning for DDoS Attack Detection in Industry 4.0 CPPSs
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
Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics
Electronics 2021, 10(5), 593; https://doi.org/10.3390/electronics10050593 - 4 Mar 2021
A Real-Time Detection Algorithm for Kiwifruit Defects Based on YOLOv5
Electronics 2021, 10(14), 1711; https://doi.org/10.3390/electronics10141711 - 17 Jul 2021
Automated Workers’ Ergonomic Risk Assessment in Manual Material Handling Using sEMG Wearable Sensors and Machine Learning
Electronics 2021, 10(20), 2558; https://doi.org/10.3390/electronics10202558 - 19 Oct 2021
Award Committee
Prof. Dr. Flavio Canavero
Chairman
Politecnico di Torino
Winner
Challenges and Applications of Emerging Nonvolatile Memory Devices
Electronics 2020, 9(6), 1029; https://doi.org/10.3390/electronics9061029 - 22 Jun 2020
Sentiment Analysis Based on Deep Learning: A Comparative Study
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
Assessment of Dual Frequency GNSS Observations from a Xiaomi Mi 8 Android Smartphone and Positioning Performance Analysis
Electronics 2019, 8(1), 91; https://doi.org/10.3390/electronics8010091 - 15 Jan 2019
A State-of-the-Art Survey on Deep Learning Theory and Architectures
Electronics 2019, 8(3), 292; https://doi.org/10.3390/electronics8030292 - 5 Mar 2019
