The classification of dry bean varieties is vital for agricultural productivity and food quality control. However, the inherent class imbalance in datasets poses challenges for machine learning (ML) ...

VCAM‐1 (vascular cellular adhesion molecule‐1) is an inflammatory biomarker linked to the occurrence and recurrence of stroke. However, it is uncertain if dual antiplatelet treatments may have ...

Abstract: Alzheimer’s Disease (AD) and Dementia represent critical healthcare challenges worldwide, underscoring the need for reliable and early diagnostic tools. This study presents an innovative ...

I think that comment "#Cache the tensor representation of the labels" is a little confusing, especially for those who are just learning PyTorch, because you are just creating numerical representation ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Unfortunately you've used all of your gifts this month. Your counter will reset on the first day of next month. Classification assignments for Gwinnett schools announced by the Georgia High School ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

ABSTRACT: High-quality data is essential for hospitals, public health agencies, and governments to improve services, train AI models, and boost efficiency. However, real data comes with challenges: ...

The coral-reef-training AWS S3 bucket provides a single, open, well-structured, growing, community-sourced repository of coral reef image classification training data. Hosted at ...

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...