Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...

In modern financial markets, recognizing trends is essential for investors seeking profits. Stock databases, or Stock DB, ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

NEC’s facial recognition, marketed under names like NeoFace and NeoFace Reveal, represents some of the most advanced ...

ABSTRACT: In this study we are examining expert assessment (EA) non-linear scaled based approach to map original physical scale into a linguistical one. We introduce fuzzification of linguistic ...

Abstract: Emotion recognition in humans is a multidisciplinary field that involves analyzing several types of data. Computational techniques in pattern recognition and machine learning have been ...

ABSTRACT: Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques ...

Introduction: Aging is associated with a decline in essential cognitive functions such as language processing, memory, and attention, which significantly impacts the quality of life in later years.