Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

An understanding of community resilience and risk analysis is vital when it comes to protecting civilians and infrastructure ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

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Abstract: With the development of display technology, people’s demand for high-definition video is increasing, and the requirements for video quality are also increasing. Nowadays, a large number of ...

The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...

On Nov. 12, the Bureau of Ocean Energy Management (BOEM) issued a request for information (RFI), indicating its interest in “leasing” marine minerals located on the CNMI’s outer continental shelf, a ...

Corrected: A previous version of this story misstated Devin Kearn’s university affiliation. A recent change to the definition of dyslexia put forth by an international group of researchers and ...

"Flipping in the ghetto on a dirty mattress." Long before Lauryn Hill spit those lyrics, depicting the mixed bag of injustice and ingenuity that comes with inner-city living, Kejuan Muchita, the ...

The students participating in the annual International Math Olympiad (IMO) represent some of the most talented young computational minds in the world. This year, they faced down a newly enhanced array ...