The final classification is executed using a Back Propagation Neural Network Classifier. The efficacy of our model was tested using images of barley afflicted with the specified diseases. The results ...

Objective: A neurodegenerative disease (NDD) detection algorithm using a convolutional neural network (CNN) and wavelet coherence spectrogram of gait synchronization was developed to classify NDD ...

In this project we have done with halilkolge ; We perform classification operations using decision trees, KNN, Naive Bayes, Neural Network and Support Vector Machines algorithms.

Deep learning (DL) techniques, more specifically Convolutional Neural Networks (CNNs), have become increasingly popular in advancing the field of data science and have had great successes in a wide ...

Using a convolution neural network algorithm, this automated external defibrillator device enters the challenging field to improve bystander defibrillation, the detection of a shockable rhythm, and to ...

Keywords: robot image classification, CapsNet neural network, MobileNetV2, attention module, spatial and channel information. Citation: Zhang J, Yu X, Lei X and Wu C (2022) A novel CapsNet neural ...

Neural networks are more powerful than these alternatives, in both the mathematical sense and ordinary language sense, but neural networks are more complex than the alternatives. Let me reiterate that ...