Artificial neural network (ANN) is a simplified model of the biological nervous system
consisting of nerve cells or neurons. The application of ANN to food process engineering is …

Background The development of fast, efficient, accurate, and reliable techniques and
methods for food authenticity identification is crucial for food quality assurance. Traditional …

Deep neural networks have attained great success in handling high dimensional data,
especially images. However, generating naturalistic images containing ginormous subjects …

Dietary studies showed that dietary problems such as obesity are associated with other
chronic diseases, including hypertension, irregular blood sugar levels, and increased risk of …

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 …

Obesity is one of today's most visible, uncared, and common public health problems
worldwide. To manage weight loss, obtain calorie intake and record eating lists, the …

The management of daily food intake aids to preserve a healthy body, minimize the risk of
many diseases, and monitor chronic diseases, such as diabetes and heart problems. To …

Food recognition systems recently garnered much research attention in the relevant field
due to their ability to obtain objective measurements for dietary intake. This feature …

Humans need food, and the food detection system is a fascinating research topic and a
complex weight loss mechanism. Eating healthy and balanced is crucial. Over the last few …

Insulators, as typical equipment for distribution networks, provide good electrical insulation
between live conductors and earth. Timely and accurate detection is essential for insulator …