This narrative review paper explores the diverse applications of artificial intelligence (AI) in
the field of dam engineering. Authored by research engineers specializing in civil …

Enhancing customer service in satellite telecommunications is a critical focus area for
companies seeking to differentiate themselves in a competitive market. This Review reviews …

Modern machine learning (ML) techniques are making inroads in every aspect of renewable
energy for optimization and model prediction. The effective utilization of ML techniques for …

The integration of generative Artificial Intelligence (AI) systems, such as ChatGPT, into the
construction industry represents a transformative force with profound implications. This …

This study aims to shed light on a new understanding of global machine-learning (ML)
prediction models for wastewater treatment plants (WWTPs). The paper evaluates the …

With progressing competitive market, different organizations were desperate to hold this
churn rate as minimum value, hence to achieve this, building an effective (CCP) customer …

CO2 sorption in physical solvents is one of the promising approaches for carbon capture
from highly concentrated CO2 streams at high pressures. Identifying an efficient solvent and …

Due to their specific characteristics, innovation projects are developed in contexts with great
volatility, uncertainty, complexity, and even ambiguity. Project management has needed to …

The increased penetration of renewable energy sources (RESs) as an effective mechanism
to reduce carbon emissions leads to an increased weather dependency for power and …

High temperature induced diamond degradation often leads to the failure of diamond tools.
In this work, diamond samples holding different degrees of thermal damage were prepared …