IEEE

A Machine Learning-Based Approach for Multi-Objective, Multi-Product, and Multi-Period Supply Chain Optimization via Demand Forecasting

Abstract: The main aim of this research study is to provide a complex machine learning framework for Multi-Objective, Multi-Product, and Multi-Period Supply Chain Optimization (M3 SCO). We used a ...
MUO on MSN

Learning REDUCE in Excel completely changed how I use spreadsheets

REDUCE allows you to iterate through your data, building your result step-by-step, in the same way a loop operates in a ...
BMJ Open

Prevalence of eye care service utilisation and associated factors among healthcare professionals in Gondar city, northwest Ethiopia, 2024: community-based cross-sectional study

Objective This study aimed to assess the prevalence of eye care service utilisation and associated factors among healthcare professionals in Gondar city, northwest Ethiopia. Design An ...
IEEE

Problem-Specific Knowledge Based Multi-Objective Meta-Heuristics Combined Q-Learning for Scheduling Urban Traffic Lights With Carbon Emissions

Abstract: In complex and variable traffic environments, efficient multi-objective urban traffic light scheduling is imperative. However, the carbon emission problem accompanying traffic delays is ...