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In this paper, a TD3–LSTM reinforcement learning-based intelligent algorithm is developed to address the maneuver decision-making problem of a UAV under uncertain information.
This Geo-LSTM algorithm then incorporates multi-source geometric information to extract time-series features from the UWB ranging data and the tag's a priori location, further enhancing 3D ...
Accurate estimation of lithium-ion batteries’ state of health (SOH) is critical for ensuring the efficient, safe, and long-lasting operation of battery systems. To address the challenge of ...
Chris Ranck is the national planning leader for Black & Veatch’s collection systems and wet-weather programs. He has 25 years of experience with a focus in combined sewer systems, including hydraulic ...
This project use in YSC 2023. Contribute to Esonip/Stock-Price-Prediction-using-Genetic-Algorithm-and-LSTM development by creating an account on GitHub.
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