Over the past few decades, the food industry has undergone revolutionary changes due to
the impacts of globalization, technological advancements, and ever-evolving consumer …

Data augmentation is a crucial and challenging task for improving defect detection with
limited data. Many generative models have been proposed and shown promising …

Deep medical image segmentation calls for features with strong discrimination and rich
scales due to ambiguous background distraction and large variations in object sizes and …

While facilitating user daily lives, the booming development of mobile Internet services
raises their privacy concerns because of the need to share travel trajectories. Due to the …

Machine vision enhances automation, quality control, and operational efficiency in industrial
applications by enabling machines to interpret and act on visual data. While traditional …

With the recent development of AIoT (AI+ IoT), crowdsourcing has emerged as a promising
paradigm for distributed problem solving and business practice. Crowdsourcing entails …

Identifying the right combination of process parameters is crucial to ensure a high quality of
the manufactured products. Nevertheless, this task is not always straightforward, as it usually …

Breast cancer is one of the most common types of cancer in women. Early and accurate
diagnosis of breast cancer can increase the treatment chances and decrease the mortality …

We study the problem of classifying different cooking styles, based on the recipe. The
difficulty is that the same food ingredients, seasoning, and the very similar instructions result …

The rapid identification and categorisation of breast cancers using low-contrast MRI images
presents a significant challenge due to the disease's prevalence among women of all ages …