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Abstract: Leaf diseases can cause several detriments in crops' overall yield and fertility. While analyzing the various diseases that affect plants is imperative, identifying the diseases using ...

Real-world robotic operations often face uncertainties that can impede accurate control of manipulators. This study proposes a recurrent neural network (RNN) combining kinematic and dynamic models to ...

CNNs are specialized deep neural networks for processing data with a grid-like topology, such as images. A CNN automatically detects the important features without any human supervision. They are ...

stock_price_rnn_prediction.py ----- On the basis of the Facebook stock value for 2012-2016, the Recurrent Neural Network model is trying to predict the value for 2017. Being a Recurral Neural Network, ...

The billionaire said his company’s first product, called Telepathy, would let a person control a phone or computer “just by thinking.” By Ryan Mac Neuralink, a company working to develop computer ...

Prediction of multidimensional time-series data using a recurrent neural network (RNN) trained by real-time recurrent learning (RTRL), unbiased online recurrent optimization (UORO), least mean squares ...