AI and multimodal data are reshaping analytics. Success requires architectural flexibility: matching tools to tasks in a ...

A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total). ... A summarization of our graph datasets is given in Table 1. If you used the dataset, ... P.

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

In this study, we introduce the ToolSurface-144 dataset, which is presented here for the first time. It comprises four subsets – Full R, Full S, Top R, and Top S – each containing 144 tool classes ...

Class discovery from gene expression data is an important task for cancer diagnosis. In this paper, we present a new framework for class discovery. The new framework integrates the perturbation ...

Context. The WIde-field Nearby Galaxy-cluster Survey (wings) is a project aiming at the study of the galaxy populations in clusters in the local universe (0.04 < z < 0.07) and the influence of ...

Convolutional Neural Network (CNN) for image classification on the CIFAR-10 dataset using TensorFlow and Keras. Includes data augmentation, L2 regularization, and detailed evaluation with ...