ABSTRACT A global rise in demand for energy gives rise to a plethora of challenges like the
increase in greenhouse gas emissions with its associated environmental impact. The …

Compliant mechanisms' design aims to create a larger workspace and simple structural
shapes because these mechanical systems usually have small dimensions, reduced friction …

Cutting energy consumption prediction gives decision supports for the energy-saving
operation to realise green manufacturing. However, there are challenges when predicting …

Governments and industries are developing aggressive policies to reduce carbon emissions
and shift from fossil fuels to renewable energy. On the other hand, industries struggle to …

Incoloy 800 is frequently used in high-temperature applications as it has the ability to retain
good metallurgical stability at elevated temperatures. Due to the nature of the applications …

Slope failures are avoidable accidents in most of the scenarios. The eventuality of a failure
leads to loss of lives and destruction, especially in hilly areas. Investigation, analysis and …

This study presents a comprehensive experimental dataset and a novel classification model
based on Deep Neural Networks to estimate surface roughness for additive manufacturing …

Predicting and scheduling energy use in Smart Buildings (SB) is essential for implementing
Energy-Efficient Management Systems. Managed Smart Grid technology is a critical …

As an innovative approach in this study, artificial neural network and cuckoo algorithm have
been applied to estimate and optimize the main cutting forces of various Si brass alloys …

In the context of increasing global demand, and the importance of renewable energy
sources. There is a need to focus on renewable energy management and explore more …