Best Paper Award

Dear Colleagues,

We are pleased to announce the winner of the Technologies 2021 Best Paper Award. All papers published between 1 January 2021 and 31 December 2021 in Technologies were considered for the award. After a thorough evaluation of the originality and significance of the papers, citations, and downloads, the winner was selected.

Review:

A Survey of Robots in Healthcare
By Maria Kyrarini, Fotios Lygerakis, Akilesh Rajavenkatanarayanan, Christos Sevastopoulo, Harish Ram Nambiappan, Kodur Krishna Chaitanya, Ashwin Ramesh Babu, Joanne Mathew and Fillia Makedon
Technologies 2021, 9(1), 8; doi: 10.3390/technologies9010008

The winner will receive CHF 500, an e-certificate and a chance to publish a paper in Technologies in 2023 after peer review.

Please join us in congratulating the winner of the Technologies 2021 Best Paper Award. We would also like to take this opportunity to thank all of our authors for your continued support of Technologies.

Kind regards,
Technologies Editorial Office

 
Technologies 2021 Best Paper Award
 

Eligibility and Requirements

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

Winner

14 pages, 1840 KiB  
Article
Utilization of Artificial Neural Networks for Precise Electrical Load Prediction
by Christos Pavlatos, Evangelos Makris, Georgios Fotis, Vasiliki Vita and Valeri Mladenov
Technologies 2023, 11(3), 70; https://doi.org/10.3390/technologies11030070 - 26 May 2023
17 pages, 2022 KiB  
Review
How to Bell the Cat? A Theoretical Review of Generative Artificial Intelligence towards Digital Disruption in All Walks of Life
by Subhra Mondal, Subhankar Das and Vasiliki G. Vrana
Technologies 2023, 11(2), 44; https://doi.org/10.3390/technologies11020044 - 17 Mar 2023

Winner

29 pages, 4740 KiB  
Review
Thermal Inkjet Printing: Prospects and Applications in the Development of Medicine
by Md Jasim Uddin, Jasmin Hassan and Dennis Douroumis
Technologies 2022, 10(5), 108; https://doi.org/10.3390/technologies10050108 - 21 Oct 2022
18 pages, 1780 KiB  
Article
Stacking-Based Ensemble Learning Method for Multi-Spectral Image Classification
by Tagel Aboneh, Abebe Rorissa and Ramasamy Srinivasagan
Technologies 2022, 10(1), 17; https://doi.org/10.3390/technologies10010017 - 26 Jan 2022

Winner

26 pages, 12035 KiB  
Review
A Survey of Robots in Healthcare
by Maria Kyrarini, Fotios Lygerakis, Akilesh Rajavenkatanarayanan, Christos Sevastopoulos, Harish Ram Nambiappan, Kodur Krishna Chaitanya, Ashwin Ramesh Babu, Joanne Mathew and Fillia Makedon
Technologies 2021, 9(1), 8; https://doi.org/10.3390/technologies9010008 - 18 Jan 2021

Award Committee

Dr. Manoj Gupta Chairman
National University of Singapore
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