Data classification labels are critical to the effective management and protection of information based on its sensitivity and the potential impact of disclosure. These labels enable the University to ...

President Donald Trump seemed to rule out using force to take Greenland in his speech at Davos. Meanwhile, Trump is set to meet with Ukraine’s President Volodymyr Zelensky at the summit. The legal ...

+This project focuses on building a Convolutional Neural Network (CNN) using Keras (TensorFlow backend) to classify images into two categories: Dog and Cat. + +The objective is to learn meaningful ...

In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...

Abstract: Histopathology is crucial for diagnosing many diseases as early as possible, especially cancer. It involves looking at tissue samples under a microscope and checking if something is wrong.

The White House social media team is in hot water with one of the world’s biggest pop stars after using Sabrina Carpenter’s song “Juno” in a video depicting law enforcement apprehending individuals in ...

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...

Electroencephalogram (EEG) signal analysis plays a vital role in diagnosing and monitoring alcoholism, where accurate classification of individuals into alcoholic and control groups is essential.

• Architecture: 4-layer CNN (convolutional layers with 32, 64, 128, and 256 filters) → Max pooling → Dropout → Fully connected layers. • Training: Dataset: MNIST (28×28 grayscale digits).

Photographs of a young Palestinian child appearing to suffer from severe malnutrition have emerged over the past week as a new symbol of the humanitarian crisis in the Gaza Strip, where the war ...