This is a model for stock prediction that uses the CNN-LSTM network! We have all known that fully connected neural network couldn't deal well with the data that had time seies.Because the data used ...

Radiomic features and deep learning features were extracted for further stacking ensemble system construction. The segmentation model’ performance was assessed by using Dice Similarity (Dice) metrics, ...

A study proposed a stacking ensemble classifier that utilizes ... wavelet transforms into a long short-term memory (LSTM) network, the model effectively filtered out noise from operational data ...

Similarly, another research effort proposed a hybrid model that integrates Wavelet Multi-Resolution Analysis (MRA) with convolutional neural networks (CNN) and long short-term memory (LSTM ...

These deep learning models can be improved to achieve greater accuracy and stability. Creating a hybrid model that combines attention residual learning with a Long Short-Term Memory (LSTM) is one ...

CNN will cut 6% of its current workforce as part of CEO Mark Thompson‘s continuing efforts to build up the Warner Bros. Discovery outlet’s digital and broadband acumen as the audience flocking ...

Cable giant CNN is planning to lay off dozens of employees and undergo a major restructuring as the outlet looks to retool itself around digital during President Trump’s second term. The layoffs ...

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