Analyzing food composition and detecting contaminants is important for monitoring food
quality and assessing public health risks. Traditional food analysis methods can meet …

For the past decade, the Carbon dots (CDs) a tiny sized carbon nanomaterial are typically
much attentive due to their outstanding properties. Nature is a fortune of exciting starting …

The main purpose of this paper is to develop an efficient machine learning model to estimate
the electric power load. The developed machine learning model can be used by electric …

Recently, natural products are the powerful carbon source to synthesize carbon dots (CDs)
with interesting physical and chemical properties. In this present work, we report a facile …

Biodiesel is a renewable alternative to petroleum diesel that is produced through the
chemical reaction of oils and fats derived from plants and animals with short-chain alcohols …

Nanotechnology has attracted the attention of researchers from different scientific fields
because of the escalated properties of nanomaterials (NMs) compared with the properties of …

Electric load estimation is an important activity for electrical power system operators to
operate the system stably and optimally. This paper develops a machine learning model …

The present study reports the synthesis of nitrogen-functionalized carbon nanodots
(NFCNDs) by a low-cost hydrothermal method using the leaf extract of Indigofera tinctoria as …

Estimation of electric power load on electric power substation is an essential task for system
operator in order to operate the system in a reliable and optimal manner. In this paper …

Nanomaterials (NMs) are gradually becoming pervasive in the modern world, entering every
application for improving the quality of life. Multifaceted uses of NMs in curing diseases …