Abstract Machine learning-based models using Artificial Neural Network (ANN) and greedy
search algorithm are used to optimize air-cooled parallel plate-finned heat sinks (PPFHSs) …

The accurate prediction of the nitrogen oxides (NOx) emissions is extremely important for
pollutant control in municipal solid waste incineration (MSWI) process. Modular neural …

In times of educational disruption, significant advances in adopting digitalization strategies
have been accelerated. In this transformation climate, engineers should be adequately …

Gel permeation chromatography (GPC) is a generally applied method for the mass analysis
of various polymers and copolymers, but it inherently fails to provide additional important …

Abundant amounts of solid waste are produced due to the processing of various agricultural
goods, such as garbage incineration. This agricultural waste management strategy causes a …

The chemical processes are inherently complex, and obtaining desired product quality and
high energy efficiency by optimizing the design variables is challenging. The progress in …

Despite the numerous possibilities of integrating AI and CFD simulations for chemical
process design, researchers often rely on manual techniques, resulting in suboptimal …

The increasing global demand for eco-friendly products is driving innovation in sustainable
chemical synthesis, particularly the development of biodegradable substances. Herein, a …

The present study investigates the dependency of prediction accuracy of an artificial neural
network (ANN) on the network architecture using 65 different neural networks from seven …

Data Science is a tool for organizations to accelerate the development of innovative
solutions through collaboration among Small and Medium Enterprises (SMEs), leading to …