An optimization-driven hierarchical deep learning approach using the Gray Langurs algorithm for data-driven seismic activity prediction
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A deep learning approach using the Gray Langurs algorithm is being explored for data-driven seismic activity prediction. However, it appears that similar optimization-driven hierarchical deep learning methods are also being applied to various other fields, including medical diagnosis, renewable energy, and wireless sensor networks. The specific application and effectiveness of the Gray Langurs algorithm for seismic activity prediction are unclear among the reported uses of related techniques in different areas.
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