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Abstract The growing importance of machine learning in geological data computing, as well as in the broader geoscience and energy sectors, makes it essential to evaluate the impact of data augmentation on model performan...

Abstract The safety of transmitted data is an essential element of all Cloud-IoT-based electronic healthcare (e-healthcare) systems. Through a review of prior research, we see that there have been several different secur...

Abstract Expediting the construction of the new energy systems is crucial to achieving an energy transition, decreasing carbon dioxide emissions, and alleviating global warming. Utilizing Chinese province panel data from...

Abstract Hot data identification plays a critical role in a wide range of computing systems, including memory hierarchy management, database optimization, and large-scale storage infrastructures. Its importance has furth...

Abstract Cross-lingual information retrieval limits global exchange of data because of the high diversity in the methods to classify, document and encode medical procedures. Traditional keyword-based or single-language s...

Abstract The Internet of Things (IoT) and emerging technologies have converged to drive the remarkable development of intelligent systems. The interconnection of physical objects, sensors, and tiny communication devices ...

Abstract The explosion of patient data, the demand for real-time insights, and the critical importance of data security drive healthcare innovation. Medical Internet of Things (IoMT) offers a promising solution, connecti...