Pattern Recognition Letters 167 (2023): 60-66. Bavandsavadkouhi, Iman, Saeed Khazaee, and Ching Y. Suen. "An Autoencoding Method for Detecting Counterfeit Coins." In Structural, Syntactic, and ...

Inspired by the bee brain, scientists develop a new AI model that could revolutionize how machines learn, adapt, and perceive ...

The goal of the Patterns and Anomalies pattern of AI is to use machine learning and other cognitive approaches to learn patterns in the data and discover higher order connections between that data ...

The recognition pattern however is broader than just image recognition In fact, we can use machine learning to recognize and understand images, sound, handwriting, items, face, and gestures.

However, machine learning just helps to identify patterns within data sets and thus tries to make predictions based on existing data. It is most important to check the plausibility and correctness ...

The process involves using machine learning techniques, such as neural networks or decision trees, to train algorithms to recognize patterns and categorize them accordingly.

The series of ANNPR workshops act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and ...