In this tutorial, we take a hands-on approach to building an advanced convolutional neural network for DNA sequence classification. We focus on simulating real biological tasks, such as promoter ...

Abstract: This study examines the effectiveness of using machine learning-based image recognition model for classifying common diseases in crops. This study addresses the critical need for swift and ...

In a quest to bolster a long-running claim from President Trump concerning undocumented immigrants illegally voting, the Justice Department is seeking detailed voter roll data from over 30 states. By ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Abstract: LiteNet-CNN is a novel convolutional neural network architecture specifically designed for resource-constrained environments such as mobile devices and retail settings. The paper highlights ...

The geological structure of buried hill reservoirs is highly complex. This study aims to develop a new reservoir fluid identification method for buried hill reservoirs by integrating nuclear magnetic ...

Security researchers have devised a technique to alter deep neural network outputs at the inference stage by changing model weights via row hammering in an attack dubbed ‘OneFlip.’ A team of ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

The First Hospital of Hunan University of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China Background: Breast cancer remains the most prevalent malignancy in women globally, ...