Recent advances in light-weight deep learning models and network architecture search (NAS) algorithms are reviewed, starting with simplified layers and efficient convolution and including new ...

In high-risk industry work scenarios, automatic hard hat recognition systems are crucial for ensuring worker safety. However, the issue of false detection has become a 'stumbling block' affecting ...

Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to ...

Recently, the National Intellectual Property Administration announced a notable patent developed jointly by Shenyang University of Technology and China Aero Engine Corporation, titled "A Bearing Life ...

A team of researchers from the University of Professional Studies, Accra, led by Dr. Augustina Dede Agor, has completed one of the most detailed global reviews to date on the integration of artificial ...

In this video, we will understand what is Convolution Operation in CNN. Convolution Operation is the heart of Convolutional ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

A fully fused network essentially means everything related to CNNs--or Convolutional Neural Networks or the series of calculations and processes that go into upscaling an image without harming ...

A simple algorithm that revolutionizes how neural networks approach language is now taking on image classification as well. It may not stop there.