Neural network (ie deep learning, NN)-based data analysis techniques have been listed as
a pivotal opportunity to protect the integrity and safety of the global food supply chain and …

In this study, the prediction of dynamic viscosity (µ nf) of MWCNT-Al 2 O 3 (30: 70)/Oil 5W50
hybrid nano-lubricant using Artificial Neural Network (ANN) is performed. The objective of …

In this study, the rheological behavior of a specific type of hybrid nanofluid (HNF) in the
temperature range of 5–55° C and different laboratory conditions is investigated. The results …

Food quality and safety are extremely important to the government, industry, and consumers.
Fluorescence spectroscopy techniques are increasingly and widely used in the field of food …

The increasing demand for high-quality vegetable oils has amplified the need for efficient,
and accurate, oil recognition systems. This paper introduces the Portable Intelligent Oil …

The main required organ of the biological system is the Central Nervous System (CNS),
which can influence the other basic organs in the human body. The basic elements of this …

This paper explores the influence of the selection method of the region of interest (ROI) on
the results in the total sugar of apple detection based on hyperspectral imaging technology …

In this study, the rheological behavior of hybrid nano-lubricant with the formulation MWCNT-
Al 2 O 3 (20: 80)/Oil SAE50 was analyzed experimentally and statistically with the aim of …

The intramuscular fat content is an essential indicator of pork quality, directly affecting
sensory quality and consumers' willingness to buy. Traditional testing methods are …

Abstract The Geographical Origin of Chinese medicinal materials plays an important role in
guaranteeing the authenticity of Chinese medicinal materials, ensuring the quality and …