qualitysafety.bmj

Thinking and organising in systems: reframing the long problem of learning from incidents

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IEEE

Prompt-Based Concept Learning for Few-Shot Class-Incremental Learning

Abstract: Few-Shot Class-Incremental Learning (FSCIL) faces a huge stability-plasticity challenge due to continuously learning knowledge from new classes with a small number of training samples ...
IEEE

A Deep Reinforcement Learning-Based Adaptive Large Neighborhood Search for Capacitated Electric Vehicle Routing Problems

The Capacitated Electric Vehicle Routing Problem (CEVRP) poses a novel challenge within the field of vehicle routing optimization, as it requires consideration of both customer service requirements ...