Fake news has become a critical challenge in digital communication, threatening information integrity and public discourse, especially in this internet era where misunderstanding can lead to dispute of opinions, confl...
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Mixed reality revolutionized education by creating comprehensive and dynamic educational settings that foster student participation and understanding. Through a comparative analysis of Mixed Reality applications in fi...
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Digital media art utilizes digital technologies such as artificial intelligence, big data, and 5G networks to analyze user habits and design and manufacture personalized and humanized products that meet user needs and...
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The Internet of Things (IoT) is an emerging technology that gained significant attention in both academia as well as industry. It is a set of heterogeneous devices that are interconnected together for exchanging infor...
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In order to improve the transportation efficiency of unmanned underground phosphate ore transport vehicles, ensure safety, and control costs, this paper constructs a vehicle scheduling optimization model based on an i...
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The last few years have been marked by the insertion of renewable technologies in the global energy matrix, such as wind and solar energy, which are considered clean energies with low environmental impact. Wind turbin...
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ISBN:
(纸本)9783031530357;9783031530364
The last few years have been marked by the insertion of renewable technologies in the global energy matrix, such as wind and solar energy, which are considered clean energies with low environmental impact. Wind turbines, responsible for the energy conversion process, are complex equipment that are expensive and susceptible to numerous failures. Monitoring turbine components can help detect failures before they occur, reducing equipment maintenance costs. This work compares the training time of different techniques for tuning hyperparameters in supervised machine-learning models for fault detection in wind turbines. Results show the importance of data optimization during model training.
With the continuous promotion of infrastructure construction such as water conservancy, transportation, and municipal engineering in China, the number of tunnels put into operation is increasing, making the healthy se...
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Supercapacitors are gaining significance owing to their remarkable ability to develop advanced energy storage devices for future use. In this paper, we present a new approach used to optimize the energy density of sup...
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Flight delay is a significant challenge faced by air traffic control systems, severely affecting passenger travel experience and airline operational efficiency. This paper addresses this issue by proposing an intellig...
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Cyberspace is the main battlefield of future war, how to command and control network operations in a timely and effective manner in the highly complex and rapidly changing network environment is very necessary. Intell...
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