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Reinforcement learning algorithms: A brief survey
Reinforcement Learning (RL) is a machine learning (ML) technique to learn sequential
decision-making in complex problems. RL is inspired by trial-and-error based human/animal …
decision-making in complex problems. RL is inspired by trial-and-error based human/animal …
Data-driven fault diagnosis for traction systems in high-speed trains: A survey, challenges, and perspectives
Recently, to ensure the reliability and safety of high-speed trains, detection and diagnosis of
faults (FDD) in traction systems have become an active issue in the transportation area over …
faults (FDD) in traction systems have become an active issue in the transportation area over …
Smart mining with autonomous driving in industry 5.0: Architectures, platforms, operating systems, foundation models, and applications
The increasing importance of mineral resources in contemporary society is becoming more
prominent, playing an indispensable and crucial role in the global economy. These …
prominent, playing an indispensable and crucial role in the global economy. These …
Aspect-based sentiment analysis: A survey of deep learning methods
Sentiment analysis is a process of analyzing, processing, concluding, and inferencing
subjective texts with the sentiment. Companies use sentiment analysis for understanding …
subjective texts with the sentiment. Companies use sentiment analysis for understanding …