Climate change, the growth in world population, high levels of food waste and food loss, and
the risk of new disease or pandemic outbreaks are examples of the many challenges that …

Abstract Machine learning (ML) has proven to be a useful technology for data analysis and
modeling in a wide variety of domains, including food science and engineering. The use of …

In 2019 there was an outbreak of coronavirus pandemic also known as COVID-19. Many
scientists believe that the pandemic originated from Wuhan, China, before spreading to …

The sudden outbreak of COVID-19 has severely affected the global hospitality industry. The
hygiene and cleanliness of hotels has become the focal point in the recovery plan during …

The food processing and handling industry is the most significant business among the
various manufacturing industries in the entire world that subsidize the highest employability …

The massive rise of Big Data generated from smartphones, social media, Internet of Things
(IoT), and multimedia, has produced an overwhelming flow of data in either structured or …

Technology is being developed to handle vast amounts of complex data from diverse
sources. The terms" Big Data" and" Decision Support Systems"(DSS) refer to computerised …

Today, exploiting sentiment analysis has become popular in designing recommender
systems in various fields, including the restaurant and food area. However, most of the …

Food safety continues to threaten public health. Machine learning holds potential in
leveraging large, emerging data sets to improve the safety of the food supply and mitigate …

Many mobile apps of social Internet of Things (sIOT) systems can help us record and share
daily events, such as health and sport events. In fact, healthy diet recognition is an important …