Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Let's discuss four trends that will redefine how robots create value — from smarter math and cooperative behaviors to ...
Pulsar’s risk scoring engine integrates a diverse array of data points, synthesizing user-provided information with ...
The First Affiliated Hospital of China Medical University, Shenyang, China The final, formatted version of the article will be published soon. Purpose:To investigate whether iron metabolism exerts a ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Abstract: External disturbances in complex environments often have a serious impact on the control system performance. For the tracking control problem of an air-breathing hypersonic vehicle (AHV) ...
Abstract: Model-free predictive control has demonstrated robust performance while maintaining the benefits of predictive control, including precision and rapid transient response. This technique has ...
Zhang, E. and Zhang, J. (2026) The Rising Influence of Technology and AI on the Hospitality Industry: A Qualitative Review. Open Journal of Business and Management, 14, 456-465. doi: 10.4236/ojbm.2026 ...
The research finds that the entertainment industry’s preference for younger characters and storylines — a bias that has ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Primary membranous nephropathy (PMN) is a major cause of adult nephrotic syndrome and demonstrates considerable clinical heterogeneity. This review summarizes current evidence on the immunological ...
Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...
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