As the financial industry becomes increasingly data-driven, the integration of DL technologies will be essential to navigate ...
Abstract: This paper proposes a hybrid model that integrates Spatio-Temporal Graph Convolutional Networks (STGCN) with Long Short-Term Memory (LSTM) networks for traffic flow prediction, along with ...
In this paper, a memristor-based parallel computing circuit optimization for LSTM network fault diagnosis is proposed. In response to the slow convergence of the algorithm, the characteristics of the ...
You might have heard that algorithms are in control of everything you hear, read, and see. They control the next song on your Spotify playlist, or what YouTube suggests you watch after you finish ...
Small businesses thrive on TikTok thanks to an algorithm that evaluates each video independently. User engagement (likes, comments, shares, saves), watch time and relevant content are more ...
Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a team has created an algorithm capable of optimizing multiple targets at once, effectively ...
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By applying K-Means clustering and LSTM Autoencoder models, it enables predictive maintenance and minimizes downtime. The system analyzes pressure, temperature, and motor current readings to provide ...