The recent development of machine learning (ML) and Deep Learning (DL) increases the
opportunities in all the sectors. ML is a significant tool that can be applied across many …

Brain-Computer Interaction (BCI) system intelligence has become more dependent on
electroencephalogram (EEG)-based emotion recognition because of the numerous …

ABSTRACT AI-powered image analysis and pattern recognition algorithms (IAPRA) are
renowned for their capacity to identify concrete flaws, assess strength characteristics, and …

The construction sector would greatly benefit from a strategy for optimizing high-
performance concrete mixtures. However, traditional proportioning techniques are …

Sand is extracted at a rate more than its restoration. Nevertheless, the availability of sand in
the growing demand of the construction industry remains a challenge due to cost and quality …

The main aim of this work consists of proposing a new control strategy for multifunctional
grid-connected photovoltaic systems (GCPVSs) to enhance the power quality at the point of …

Computational models have been used in conjunction with field data, such as in
reinforcement concrete corrosion monitoring. It typically involves evaluating the physical …

ABSTRACT A theoretical attempt is made to investigate the effect of Hall current on
temperature distribution in MHD twofluid flow of ionized gases (plasma) through horizontal …

The current study was conducted to examine the rheological properties and the performance
characteristics of polymer-modified asphalt binders at various temperatures. Different types …