The main purpose of this study was to optimize the performance parameters of the casting
process using a neural network approach. The casting process is molten or liquefied metal …

In the agriculture field industry, farming tools play an important role. Any type of machinery's
performance is influenced by factors including dependability, accessibility, and operating …

The purpose of this research is to suggest the use of neural network techniques to analyze a
mathematical model that is associated with a biomass power plant. Four subsystems are …

This study examines the consistency metrics used to evaluate the durability of a spirulina
production plant, which consists of seven subsystems: cultivation pond, paddlewheel, filter …

Large power generation plants play a crucial role in meeting consumer demand and
maintaining the stability of the electrical system. Different types of plants, each with their own …

This study aims to optimize the productivity of the plywood manufacturing system within the
wood industry. A Petri nets simulation-based technique has been used to evaluate the …