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 ...
Machine Design

The Eyes of Automation: Machine Vision’s Role in AI-Powered Automation

Front and center at Automate 2026, machine vision solution suppliers showed how vision systems are foundational to industrial automation. Explore some of the products ...
C&EN

Controlling Molecular Weight Distributions through Photoinduced Flow Polymerization

† ‡ † Centre for Advanced Macromolecular Design (CAMD), School of Chemical Engineering, and ‡ Australian Centre for NanoMedicine, School of Chemical Engineering, UNSW Australia, Sydney, NSW 2052, ...
IEEE

Machine Learning Methods for Feedforward Power Flow Control of Multi-Active-Bridge Converters

Controlling the multiway power flow in a multi-active-bridge (MAB) converter is important for achieving high performance and sophisticated functions. Traditional feedforward methods for MAB converter ...
Pew Research Center

Political Typology 2026

Are you Unconventional Right? Loyal Liberal? Or something else? Take our quiz to find out which one of our nine political typology groups is your best match. Fresh data delivered Saturday mornings ...
IEEE

Toward a Dynamic Reversible Lane Management Strategy by Empowering Learning-Based Predictive Assignment Scheme

Abstract: Traffic congestion is a long-lasting worldwide problem and even becoming more severe in well-developed regions. Reversible lanes have been used worldwide on various road types to mitigate ...