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 ...

On Monday, California Gov. Gavin Newsom signed into law SB 1223, amending the California Consumer Privacy Act (CCPA) to include neural data as personal sensitive ...

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 ...

Department of Machine Learning and Neural Computing, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands Recurrent neural networks (RNNs) hold immense ...

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, ...

Despite the changing landscape of real estate investments and other industries, which have experienced the effects of the pandemic and now a post-pandemic world, there are fundamental leadership ...

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 ...

Abstract: Adversarial examples are known to mislead deep learning models so that the models will classify them incorrectly, even in domains where such models have achieved state-of-the-art performance ...