Our brain and eyes can play tricks on us—not least when it comes to the expanding hole illusion. A new computational model ...

Internal software engineers working for the tax department have implemented a machine learning tool which identifies and ...

It's called "woody breast" and for consumers it can mean a chewier chicken sandwich, but for the industry it can mean up to ...

The proposed deep learning-assisted multi-sensor fusion technique consists of two parts: (1) visual information fusion and (2) object detection using LiDAR ... inspired by a domain image fusion ...

Background Social media influencers who promote e-cigarettes on Instagram or TikTok for tobacco brands use marketing tactics ...

The pandemic had significantly pushed the demand for deep learning technology. This is mainly attributed to the rise in demand for anti-money laundering (AML), fraud detection ... facial recognition, ...

Deep learning works by using multilayered neural networks ... from simple features like edges in an image to more complex structures like objects. “This layered approach allows the model ...

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge ...

Project SALEM is an advanced web application designed for the automatic review and validation of documents using cutting-edge machine learning techniques. The application leverages Convolutional ...

In response to this challenge, researchers have turned to deep-learning (DL ... of 10,580 radiographic images. This study advocates for the use of DL techniques, including VGG16, ResNet152V2, and ...

Abstract: In the field of precision agriculture, accurate crop detection is crucial for crop yield estimation, and health monitoring using photogrammetric measurements. Achieving high precision ...