The healthcare industry has become increasingly challenging, requiring retrieval of
knowledge from large amounts of complex data to find the best treatments. Several works …

While the majority of FSL models focus on image classification, the extension to action
recognition is rather challenging due to the additional temporal dimension in videos. To …

Big data word is used for datasets whose size and types are beyond traditional data
processing systems. Big data analytics is the advanced technique used to process big data …

Frequent itemset mining (FIM) is a common approach for discovering hidden frequent
patterns from transactional databases used in prediction, association rules, classification …

Bioinformatics may be a new interdisciplinary field of study that combines clinical
informatics, bioinformatics, medical informatics, information technology, mathematics, and …

Diagnosis is being used in a variety of fields, including treatments, scientific knowledge,
technology, industry, and many deals. A diagnosis begins with the person's complaints and …

Explainable AI consists in developing models allowing interaction between decision
systems and humans by making the decisions understandable. We propose a case study for …

Most current few-shot action recognition methods model temporal relationships on the basis
of image classification and achieve satisfactory results. However, they focus on the extra …

Recent approaches based on metric learning have achieved great progress in few-shot
learning. However, most of them are limited to image-level representation manners, which …

Flooding is one thing that can slow down the economic pace in the affected area. Bandung
is called the city of flowers and the city of fashion because the nickname makes Bandung a …