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dc.contributor.authorPatil, Ravindra Rajaram
dc.contributor.authorCalay, Rajnish K
dc.contributor.authorMustafa, Mohamad Yazid Faisal Adib
dc.contributor.authorThakur, Somil
dc.date.accessioned2024-11-11T09:59:14Z
dc.date.available2024-11-11T09:59:14Z
dc.date.issued2024-06-08
dc.description.abstractThis review explores recent advancements in hydrogen gas (H2) safety through the lens of artificial intelligence (AI) techniques. As hydrogen gains prominence as a clean energy source, ensuring its safe handling becomes paramount. The paper critically evaluates the implementation of AI methodologies, including artificial neural networks (ANN), machine learning algorithms, computer vision (CV), and data fusion techniques, in enhancing hydrogen safety measures. By examining the integration of wireless sensor networks and AI for real-time monitoring and leveraging CV for interpreting visual indicators related to hydrogen leakage issues, this review highlights the transformative potential of AI in revolutionizing safety frameworks. Moreover, it addresses key challenges such as the scarcity of standardized datasets, the optimization of AI models for diverse environmental conditions, etc., while also identifying opportunities for further research and development. This review foresees faster response times, reduced false alarms, and overall improved safety for hydrogen-related applications. This paper serves as a valuable resource for researchers, engineers, and practitioners seeking to leverage state-of-the-art AI technologies for enhanced hydrogen safety systems.en_US
dc.identifier.citationPatil, Calay, Mustafa, Thakur. Artificial Intelligence-Driven Innovations in Hydrogen Safety. Hydrogen. 2024en_US
dc.identifier.cristinIDFRIDAID 2283472
dc.identifier.doi10.3390/hydrogen5020018
dc.identifier.issn2673-4141
dc.identifier.urihttps://hdl.handle.net/10037/35628
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.journalHydrogen
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2024 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleArtificial Intelligence-Driven Innovations in Hydrogen Safetyen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution 4.0 International (CC BY 4.0)