Abstract: The objective of this project is to classify the four types of soil images using deep learning models that is the Convolutional Neural Networks (CNN) and the Artificial Neural Networks (ANN) ...

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python Virginia 2025 ...

“Prevention Is Better Than Cure” – The Dutch philosopher Desiderius Erasmus. In this project, we aim to develop an application that can help to detect the disease of poultry via poultry birds by deep ...

Objectives: Non-contrast MRI(NC-MRI) is an attractive option for liver tumors screening and follow-up. This study aims to develop and validate a deep convolutional neural network for the ...

1 Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin, China 2 School of Intelligent Science and Engineering, Harbin Engineering University, Harbin, China Background: As a ...

classify.py is the main python file that trains the model to recognise different types of bears by learning from images We use a neural network (CNN) here to look at 50-100 images of each type of bear ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

Abstract: The topics covered in this paper include brain tumors, pituitary and gliomas, how to classify images from magnetic resonance imaging (MRI) scans, The majority of MRI datasets that are ...