With the availability of big data for food safety, more and more advanced data analysis
methods are being applied to risk analysis and prewarning (RAPW). Visual analytics, which …

Current food recommender systems tend to prioritize either the user's dietary preferences or
the healthiness of the food, without considering the importance of personalized health …

This research paper proposes an innovative approach to urban waste management using
intelligent methods of classification, clustering, and forecasting. The application of this …

Food safety risk prediction is crucial for timely hazard detection and effective control. This
study proposes a novel risk prediction method for food safety called TabNet-GRA, which …

Topic modeling is frequently being used for analysing large text corpora such as news
articles or social media data. BERTopic, consisting of sentence embedding, dimension …

Spatio-temporal evolution analysis has been a critical topic of air pollution research.
However, there are still several difficulties caused by the large scale and dimensionality of …

Holy basil (Ocimum tenuiflorum L.) is a widely renowned herb for its abundance of bioactive
compounds and medicinal applications. Nevertheless, there exists a dearth of knowledge …

Predicting graduates' first destinations in advance is crucial for targeted career planning and
strategic curriculum development. The relationship between first destinations and academic …

In this paper, we propose TraVis, an interactive system that allows users to explore and
analyze complex traffic trajectory data at urban intersections. Trajectory data contains a …

To protect systems from malicious activities, it is important to differentiate between valid and
harmful commands. One way to achieve this is by learning the syntax of the commands …