Thermal performance optimization in CuO-water nanofluid enclosure with sinusoidal heating using deep learning and multi-expression programming

Puntos clave

• Enhanced thermal performance was achieved through the use of nanofluid.
• Optimization was quantified using specific metrics based on innovative computational techniques.
• Assessment using deep learning and multi-expression programming elements improved performance beyond traditional methods.
• Further applications are needed to explore broader implications and validate the findings across various settings.