The Scoliosis Research Society introduced a new 3D classification system for adolescent idiopathic scoliosis. The SRS Lenke-Aubin 3D classification addresses limitations of traditional two-dimensional ...

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 ...

Learn how sales intelligence ensures firmographic accuracy in 2025. Rohit Muthyala details machine learning pipelines and ...

Global trade is evolving at an unprecedented pace, presenting customs authorities with the dual challenge of facilitating trade while safeguarding security and ensuring optimal revenue ...

MSCI Inc. (NYSE: MSCI) announced today the launch of a consultation on a proposal for the potential reclassification of Greece from Emerging Market status to Developed Market status in one step, with ...

By Harold Kwabena FEARON Artificial intelligence is reshaping the world in profound ways, and the countries that act decisively today will shape the direction of global innovation for decades to come.

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...

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 = ...