Explore 5 essential digital upgrades powering smart factories—from ERP and MES to Digital Twins and AR - boosting efficiency, ...
The future of urban green space might be written in code, according to research in the International Journal of ...
My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Abstract: The advancement of human–robot collaboration technology has positioned remanufacturing as a crucial part of the circular economy, driving both economic growth and environmental ...
Background: Plant-based diets with reduced animal protein intake are increasingly recommended for health and sustainability reasons that have potential implications for nutrient intake, including ...
Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...
This research project presents a comprehensive data-driven greenhouse climate control and optimization system that balances plant growth and energy efficiency through advanced simulation and ...
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