Electronics 2022, 11(9), 1355; https://doi.org/10.3390/electronics11091355 - 24 Apr 2022
Best Paper Award
Dear Colleagues,
We are pleased to announce the winners of the Electronics 2024 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 2024 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 2024 Best Paper Award
Eligibility and Requirements
– All papers published in Electronics will be eligible (Both regular and Special Issue submissions).
Past Winners
Year:
Winner
A Review of Wireless Power Transfer Systems for Electric Vehicle Battery Charging with a Focus on Inductive Coupling
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 - 04 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
Writam Banerjee
Center for Single Atom-based Semiconductor Device, Department of Material Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang 790-784, Korea
Fernando De La Prieta
Biotechnology, Intelligent Systems and Educational Technology (BISITE) Research Group, University of Salamanca, 37007 Salamanca, Spain
Award Committee
Prof. Dr. Flavio Canavero
Chairman
Politecnico di Torino
Winner
Rodolfo Picchio
Department of Agriculture and Forest Sciences (DAFNE), Tuscia University, 01100 Viterbo, Italy
Juan Antonio Castro-Garcia
Departamento de Tecnología Electrónica, E.T.S.I. Informática, Universidad de Sevilla, 41012 Sevilla, Spain；
Instituto Universitario de Investigación de Ingeniería Informática de la Universidad de Sevilla (I3US), 41012 Sevilla, Spain
Award Committee
Prof. Dr. Flavio Canavero
Chairman
Politecnico di Torino
Winner
Valerio Baiocchi
Prof. Valerio Baiocchi PhD Associate professor, Sapienza University of Rome, Italy Valerio
Md Zahangir Alom
St. Jude Children’s Research Hospital, Memphis, TN, USA
