The application of machine learning to radiological images is an increasingly active
research area that is expected to grow in the next five to ten years. Recent advances in …

Abstract Background and Objective: The COVID-19 can cause severe pneumonia and is
estimated to have a high impact on the healthcare system. Early diagnosis is crucial for …

Rapid spread of Coronavirus disease COVID-19 leads to severe pneumonia and it is
estimated to create a high impact on the healthcare system. An urgent need for early …

Food safety is of fundamental importance for the food processing industry, food retailers and
distributors, and competent authorities because of its potentially direct impact on the health …

Rapid advancement in imaging technology generates an enormous amount of
heterogeneous medical data for disease diagnosis and rehabilitation process. Radiologists …

The presence and development of many food safety risks are driven by factors within and
outside the food supply chain, such as climate, economy and human behaviour. The …

In this study, a Bayesian Network (BN) was developed for the prediction of the hazard
potential and biological effects with the focus on metal-and metal-oxide nanomaterials to …

In this study, we aimed to demonstrate the aptness of a system approach to predict the level
of contamination in a given agricultural product. As a showcase, the impact of climate and …

A hybridized image classification strategy is proposed based on discrete wavelet transform,
artificial bee colony (ABC) and extreme learning machine (ELM). The proposed …

Knowing which products and hazards to monitor along the food supply chain is crucial for
ensuring food safety. In this study, we developed a model to predict which types of herbs …