Artificial intelligence (AI) health-care technologies offer a means of addressing the growing gap between health-care ...

As AI-generated art and writing proliferate, legal systems worldwide confront a deeper question: can machines be recognised as authors?

Machine learning in GIS gives a Geographic information system the ability to detect patterns, classify features, and support faster decision-making from geographic data and information. In practice, ...

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 ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

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 = ...

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...