Artificial intelligence (AI) health-care technologies offer a means of addressing the growing gap between health-care ...
David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
As AI-generated art and writing proliferate, legal systems worldwide confront a deeper question: can machines be recognised ...
This study aimed to develop and validate a preliminary classification and diagnostic model for rheumatoid arthritis-associated interstitial lung disease (RA-ILD) using routine, readily available ...
New York City is a city of walkers. More trips are made on foot than by car (41% versus 28%) and the city’s “80X50” climate action plan envisions that 80% of all trips by 2050 will be made either on ...
Abstract: The rapid development of Internet-connected devices has driven the rise of smart cities, where large-scale Internet of Things (IoT) systems require efficient infrastructure management with ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Depression is a major public health concern, affecting an estimated five percent of the global population. Early and accurate diagnosis is essential to initiate effective treatment, yet recognition ...
The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
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