Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
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

A Machine Learning Approach for Predicting Efficient CPU Scheduling Algorithm

Abstract: CPU scheduling is a critical aspect of an operating system design as it dictates how processes are prioritized for execution. In a uniprocessor, only a single process at a time can be ...
IEEE

Cloud-Edge System for Scheduling Unpredictable LLM Requests With Combinatorial Bandit

Abstract: The rapid growth in demand for large language models (LLMs) has strained cloud-edge infrastructure. While edges offer low latency and clouds provide vast resources, scheduling LLM requests ...