Environmental protection and sustainable waste-to-energy scheme through plastic waste gasification in a combined heat and power system

Process Safety and Environmental Protection, Год журнала: 2024, Номер 190, С. 1562 - 1574

Опубликована: Авг. 3, 2024

Язык: Английский

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Decision study and ANN-assisted multi-criteria optimization of a novel three-state solar-driven integrated process using energy storage for hydrogen liquefication: A case study for Malaysian solar status

Journal of Energy Storage, Год журнала: 2024, Номер 99, С. 113216 - 113216

Опубликована: Авг. 20, 2024

Язык: Английский

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ENHANCING WATER SUSTAINABILITY INDEX ASSESSMENT THROUGH RISK MANAGEMENT, IOT, AND ARTIFICIAL INTELLIGENCE IN WATER OPERATION: A REVIEW

Water Conservation and Management, Год журнала: 2023, Номер 7(2), С. 97 - 106

Опубликована: Июнь 20, 2023

Water is an important element for all living things. It very to have sustainability in drinking water operations. This because operations means continuous supply without interruption. Sustainability related risk management. can be said that a good index must assessed using However existing has proved inaccuracy, this seen from the parameter same weight between each other. An additional method such as Artificial intelligence and IoT was needed enhance accuracy of index. (artificial IoT) used enhancement management parameters based on its severity, thus impacting accuracy. In paper, we propose review detailed research sustainable supplies. Various challenges (issues) exist are inside presented together with future direction artificial framework. A operation combined enhanced (IoT intelligence) boost (assessment)

Язык: Английский

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Exploring the Role of Artificial Intelligence in Internet of Things Systems: A Systematic Mapping Study

Sensors, Год журнала: 2024, Номер 24(20), С. 6511 - 6511

Опубликована: Окт. 10, 2024

The use of Artificial Intelligence (AI) in Internet Things (IoT) systems has gained significant attention due to its potential improve efficiency, functionality and decision-making. To further advance research practical implementation, it is crucial better understand the specific roles AI IoT identify key application domains. In this article we aim different domains where used most significantly. We have conducted a systematic mapping study using multiple databases, i.e., Scopus, ACM Digital Library, IEEE Xplore Wiley Online. Eighty-one relevant survey articles were selected after applying selection criteria then analyzed extract information. As result, six general tasks identified: pattern recognition, decision support, decision-making acting, prediction, data management human interaction. Moreover, 15 subtasks identified, as well 13 domains, healthcare was frequent. conclude that there are several important can perform systems, improving security across many

Язык: Английский

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Artificial recurrent neural network coordinated secured transmission towards safeguarding confidentiality in smart Industrial Internet of Things

International Journal of Machine Learning and Cybernetics, Год журнала: 2024, Номер unknown

Опубликована: Авг. 28, 2024

Язык: Английский

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