Lucknow: Class X student Visharad Upadhyay, who created an AI model to detect and classify spinal lesion using Convolutional ...

How University of Texas Medical Branch is using AI to identify patients at high cardiovascular risk, flag for stroke and ...

For many years, businesses have used Optical Character Recognition (OCR) to convert physical documents into digital formats, ...

Crowd counting is an art that blends elementary math with the latest research to measure one of the most important things to know for public safety.

The study establishes that advances in both sensor platforms and AI models have been instrumental in elevating crop type ...

The study highlights that road safety remains a pressing concern, with over 42,000 fatalities in the United States in 2022 ...

A Convolutional Neural Network (CNN) built with TensorFlow/Keras to classify handwritten digits from the popular MNIST dataset. This project demonstrates the basic workflow of building, training, and ...

a lightweight vehicular network intrusion detection model that integrates a shallow Convolutional Neural Network (CNN) with a Gated Recurrent Unit (GRU). By employing optimizations such as small ...

However, these methods predominantly focus on capturing local features using convolutional neural networks (CNNs), neglecting ... we innovatively propose a Multi-scale Spatial-spectral CNN-transformer ...

The study focuses on the performance comparison of three neural networks: Faster Region-based Convolutional Neural Network (Faster R-CNN), You Only Look Once (YOLO), and Single Shot MultiBox Detector ...

Artificial intelligence (AI) is shaping the future of health care, offering new tools for earlier diagnosis of disease and more precise tracking of treatment outcomes. In a new Yale-led study, ...