Data Preprocessing: Efficient handling of text data, including cleaning and tokenization. Model Implementation: Use of LSTM and GRU architectures for sequential data analysis. Evaluation Metrics: ...

In the recent years, deep learning techniques have received a great attention in a wide range of practical problems, including the event detection, localization, classification, and prediction. In ...

Frame Extraction: Initially, the video data is subjected to frame extraction, where each video is broken down into its constituent frames. This step is essential for further analysis. Face detection ...

Different from the past, this paper proposes a deep learning network based algorithm for data mining of carrier module detection. The carrier module detection data is modeled by LSTM deep neural ...