Handwritten documents recognition is a challenging task in the field of pattern recognition. It has an array of applications wherein recognition of words, alphabets, digits and other characters are ...

In EMG based pattern recognition (EMG-PR), deep learning-based techniques have become more prominent for their self-regulating capability to extract discriminant features from large data-sets.

We have been stuck in using neural network models to achieve radar target recognition for so many years. I just want to be back to the 90s and 00s, when people could also achieve complex tasks with a ...

Behavior recognition uses deep learning network model to automatically extract the deep features of data, but traditional machine learning algorithms have some problems such as manual feature ...

Using a 1-D convolutional neural network (1D-CNN) classifier for swimming pattern recognition at three kicking frequencies, the effectiveness of the method was experimentally validated by nine ...

Face Recognition using Tensorflow This is a TensorFlow implementation of the face recognizer described in the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering". The project also ...

The objective of this study was to assess the feasibility and efficacy of using real-time human-in-the-loop pattern recognition-based myoelectric control to control vertical support force or vertical ...

It is worthwhile to investigate the use of Mamba for efficient human activity recognition. In this paper, we proposed a hybrid neural network that integrates CNN and visual Mamba, called ActivityMamba ...