In this context, a cascading network model is developed by combining two bi-directional networks in a specific order. It incorporates the Bi-directional Long Short-Term Memory (BiLSTM) and the ...

This Python script extracts features from videos in the YouTube Dataset using a pre-trained ResNet18 model. The extracted features can be used for training and testing LSTM models to perform action ...

Developed a Streamlit web app using LSTM algorithm to predict future prices of cryptocurrencies such as Bitcoin and Ethereum with 85% accuracy. Utilized PyTorch and TensorFlow for model development, ...

By converting the data matrix into a bipartite graph and integrating network features into the graph's node attributes, we redefine the problem of missing data completion. This transformation reframes ...

The proposed topology is based on the way of realization of a bi-directional level shifter using a single cross-coupled level-shifter rather than a two level-shifter based back to back connected ...

and Long Short-Term Memory (LSTM) networks, have shown notable promise in enhancing prediction accuracy for stock prices. This study introduces a novel hybrid Single Exponential Smoothing with Dual ...

To address this, our study proposes the application of advanced Machine Learning (ML) algorithms - including Random Forest (RF), Support Vector Regression (SVR), Artificial Neural Network (ANN), and K ...

Or, are powerful algorithms just hiding it? By The Learning Network Do you find it hard to concentrate? What can we learn from a Formula 1 driver’s mental tool kit? By Jeremy Engle See what ...

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Don't let hackers show up uninvited to your Thanksgiving dinner. Here's how to keep your home Wi-Fi network secure. David Anders is a senior writer for CNET covering broadband providers ...

Here’s how it works. On Windows 11, the ability to determine wireless or wired network connection information (such as IP, DNS, and default gateway addresses) can come in handy in many situations.