We propose a deep neural network (DNN)-based binary classifier designed to discriminate between clean and jammed received frames. The DNN operates on a composite feature vector comprising raw signal ...

In this video, we will look at the details of the RNN Model. We will see the mathematical equations for the RNN model, and understand how one RNN Cell looks like. Recurrent Neural Network (RNN) in ...

Snap-fit peg-in-hole assembly is common in industrial robotics, particularly for 3 C electronics, where fast and accurate tactile recognition is crucial for protecting fragile components. Event-based ...

In January, Tesla unveiled the upgrade to the world’s best-selling car, the Model Y electric SUV. At the time, only two variants were available for owners to purchase, the single-motor RWD and the ...