The algorithms, cameras and sensors allow drones to navigate in space, while the built-in neural network analyzes the video stream and detects people ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...

Abstract: The objective of this study was to develop an automated system for the identification of wanted individuals in terrestrial terminals using Convolutional Neural Networks (CNN). The research ...

Sensorineural hearing loss (SNHL) is a highly prevalent sensory disorder globally, affecting over 1.5 billion people, with a ...

The Keysight AI Software Integrity Builder enables validation and lifecycle maintenance of AI-enabled systems to ensure ...

1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. Language identification is a fundamental ...

Abstract: The radial basis function neural network (RBFNN) is a learning model with better generalization ability, which attracts much attention in nonlinear system identification. Compared with the ...

Purpose: To design an artificial intelligence (AI) algorithm based on the Lens Opacities Classification System III (LOCS III) to realize automatic diagnosis of cataracts and classification of its.

There are innumerable types of plants, many of which have therapeutic applications. Traditional medicine frequently makes use of medicinal herbs. Accurate identification of medicinal plants would be ...

The geological structure of buried hill reservoirs is highly complex. This study aims to develop a new reservoir fluid identification method for buried hill reservoirs by integrating nuclear magnetic ...