BMJ Open

Implementation determinants of a planned machine learning-enabled surgical scheduling system in a high-volume orthopaedic centre in Canada: qualitative findin…

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

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
IEEE

Machine-Learning-Assisted Optimization for Antenna Geometry Design

Abstract: A machine-learning-assisted optimization (MLAO) method for antenna geometry design (AGD) (MLAO-AGD) is proposed. By combining machine learning (ML) methods, including a convolutional neural ...
The Lancet

FDA-cleared artificial intelligence and machine learning-based medical devices and their 510(k) predicate networks

aInstitute for Diagnostic and Interventional Radiology, University Hospital Zurich and University of Zurich, Zurich, Switzerland bDepartment of Nuclear Medicine, University Hospital Zurich and ...
IEEE

A New Hybrid Magnetic Coupler in Inductive Power Transfer System for High Misalignment Tolerance

Abstract: Wireless charging has become increasingly popular in low and medium-power applications, such as motor-driven carriers, unmanned aerial vehicles, electric bicycles, and inspection robots.