Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Non-canonical amino acids can expand the scope of proteins available for therapeutics and machine learning platforms can ...

Abstract: A novel robust device-free moving-object localization and tracking approach incorporating a machine-learning classifier with both Kalman filter and Kalman smoother is proposed in this work.

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

Abstract: The applicability of machine learning-based analysis in the field of biomedical field has been very beneficial in determining the biological mechanism and validation for a wide range of ...

University of Pittsburgh postdoctoral researcher Mary Cundiff uses machine learning and single-cell genomics to study ...

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...

The Council for the Indian School Certificate Examinations (CISCE) has released the ISC Computer Science (Subject Code - 868) for the Year 2027 evaluation cycle. It is designed specifically to make ...

Kazakhstan holds a vast geological archive from the Soviet era that could aid in supplying critical minerals to the West.

While AI holds the promise of radically transforming KM, human oversight takes on intensified responsibilities for ensuring the knowledge provided is accurate, timely, and relevant as well as guarding ...

This review explains how soft materials, scalable manufacturing, energy-efficient hardware, and AI are converging to create ...