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The conclusions show that: 1) the MK-LSTM algorithm can reduce the computational complexity and the impact of noise in raw data; 2) the prediction accuracy of the proposed MK-LSTM model is better than ...
The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their ...
Differential privacy is a method for protecting people’s privacy when their data is included in large datasets. Because differential privacy limits how much the machine learning model can depend ...
It is significant to study gas–liquid–solid three-phase flow characteristics for an in-depth understanding of the fluidization mechanism. For this purpose, this study measured 624-bed expansion ratio ...
Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Topics Spotlight: AI-ready data centers ...
Critical speed for solid suspension (Njs) in stirred tanks is an important design parameter in several chemical processes. There is a need to develop a generalized correlation that applies to a broad ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Intelligent organizations prioritize investments in machine learning and real-time data ...
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