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Articles by Giorgio Antonini
Portable Solar-Integrated Open-Source Chemistry Lab for Water Treatment with Electrolysis
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Electrochemical Methods for Nutrient Removal in Wastewater: A Review of Advanced Electrode Materials, Processes, and Applications
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open-Source DC-DC Converter Enabling Direct Integration of Solar Photovoltaics with Anion Exchange Membrane Electrolyzer for Green Hydrogen Production
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 19 July 2024 / Approved: 22 July 2024 / Online: 22 July 2024 (10:08:10 CEST) Rahman, M. M.; Antonini, G.; Pearce, J. Open-Source DC-DC Converter Enabling Direct Integration of Solar Photovoltaics with Anion Exchange Membrane Electrolyzer for Green Hydrogen Production. Preprints 2024, 2024071698. https://doi.org/10.20944/preprints202407.1698.v1 Rahman, M. M.; Antonini, G.; Pearce, J.
Optimizing Strawberry Disease and Quality Detection with Vision Transformers and Attention-Based Convolutional Neural Networks
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Classification Of Strawberry Diseases and Quality Using Different Machine Learning Methods
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 27 April 2024 / Approved: 10 May 2024 / Online: 10 May 2024 (16:51:08 CEST) Aghamohammadesmaeiletabforoosh, K.; Nikan, S.; Antonini, G.; Pearce, J. Classification Of Strawberry Diseases and Quality Using Different Machine Learning Methods. Preprints 2024, 2024050710. https://doi.org/10.20944/preprints202405.0710.v1 Aghamohammadesmaeiletabforoosh, K.; Nikan, S.; Antonini, G.; Pearce, J.
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