The global energy shortage and resource waste are becoming more and more prominent.
With the massive production of food waste, anaerobic digestion through food waste is a key …

The calorific value of any fuel is one of the crucial parameters to grade fuel's burning
capability. The bomb calorimeter has historically been used to calculate coal's gross calorific …

Abstract Methods of Artificial Intelligence (AI) have permeated research on solar tower
power plants following general breakthroughs in the third AI summer. Whether in cloud …

Pedestrian facial attention plays an essential role in autonomous driving scenarios where a
vehicle has to handle complex interactions with pedestrians. By inferring whether …

Solar tower power plants rely on very precise alignments of their heliostats for efficient
operation. To achieve this, the heliostats have to be calibrated regularly. Open-loop …

This study proposed a model for estimating monthly solar radiation values using the
adaptive network-based fuzzy inference systems (ANFIS-SR). The ANFIS-SR model is …

This paper presents a hybrid system using solar tower and tubular solar energy for
desalination. Total radiation (dq spher) was calculated using MATLAB algorithms, encoding …

This research presents an integrated research framework for electric vehicle charging
infrastructures under smart grids. It employs Genetic Algorithms and machine learning …

Abstract Non-Fungible Tokens (NFTs) were first introduced in 2013, and they reached their
peak in 2021. Since then, investors and scholars have shown much greater interest in the …

The ongoing global energy transition towards sustainable and climate-neutral power
generation has led to the increasing adoption of concentrated solar tower power plants …