IEEE

Wind energy forecasting based on integration of CNN and Bidirectional RNN

Abstract: The variability and intermittency of integrating large-scale wind generation pose a significant risk to the reliability and integrity of the electricity grid. Precise wind power forecasting ...
IEEE

Resilient Combination of Complementary CNN and RNN Features for Text Classification through Attention and Ensembling

Abstract: Natural language processing (NLP) pipelines are usually complex, including several ways of extracting features and processing the inputs and results. The difficulty of the task directly ...
IEEE

Real-Time ECG Signal Classification Using Recurrent Neural Networks

Abstract: This study investigates the use of Recurrent Neural Networks (RNNs) for real-time ECG signal classification. The CNN-RNN hybrid model achieved the highest accuracy of 97.5% and an F1-score ...
The New York Times

CNN, Unwanted by Netflix, Is Excluded From a Sale, for Now

The prospect of Paramount’s buying Warner Bros. Discovery had led CNN journalists to wonder if the channel may be combined with CBS News. Instead, CNN will remain in a separate corporate entity. By ...
IEEE

A CNN-RNN Framework for Image Annotation from Visual Cues and Social Network Metadata

Abstract: Images represent a commonly used form of visual communication among people. Nevertheless, image classification may be a challenging task when dealing with unclear or non-common images ...
IEEE

A Hybrid CNN-RNN Model for Accurate Detection of Malignant Brain Tumors

Abstract: for the treatment planning and outcome of patients, properly identifying malignant brain tumors is very important. Nonetheless, accurate and timely detection of brain tumors can take time to ...