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Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...

Recently, a research team led by Prof. ZHAO Bangchuan from the Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, in collaboration with Prof. XIAO Yao ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Abstract: With the incidence rate of epilepsy increasing year by year, early diagnosis and accurate prediction of epilepsy have become a significant Research Interests in the medical field. This ...

ABSTRACT: The surge of digital data in tourism, finance and consumer markets demands predictive models capable of handling volatility, nonlinear dynamics, and long-term dependencies, where traditional ...

Abstract: The accomplishment of electrification targets and the successful integration of renewable energy sources into the residential grids, conceives the urgency for implementing platforms for the ...

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