The use of artificial intelligence has radically transformed the way the computer understands reality. It has given rise to ...

To address the issues of strong subjectivity and difficulty in feature extraction that are inherent to traditional frequency response analysis methods used for diagnosing transformer winding ...

In recent years, Generative AI has shown promising results in solving complex AI tasks. Modern AI models like ChatGPT, Bard, LLaMA, DALL-E.3, and SAM have showcased remarkable capabilities in solving ...

Abstract: Extreme learning machine (ELM) is an emerging learning algorithm for the generalized single hidden layer feedforward neural networks, of which the hidden node parameters are randomly ...

Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone to read it all. This column, Perceptron, aims to ...

In this paper, we examine whether machine learning and deep learning can be used to predict difficult airway intubation in patients undergoing thyroid surgery. The top 5 weighting factors for ...

Though we’re living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms that are decades, in ...