Abstract: This research provides a comprehensive comparative analysis of machine learning techniques for predicting student success in e-learning environments, with an emphasis on the evaluation of ...
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: Water is the elixir for all forms of life but increasingly being contaminated at an alarming level posing serious threats to humans and entire ecosystem. Contaminated water leads to ...
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