In recent years, deep learning algorithms have rapidly revolutionized artificial intelligence,
particularly machine learning, enabling researchers and practitioners to extend previously …

The revolution of Islamic education thought in the era of Society 5.0 was characterized by a
series of corrections and in-depth analysis of studies conducted in Islamic higher education …

Food computing, as a newly emerging topic, is closely linked to human life through
computational methodologies. Meal recommendation, a food-related study about human …

As machine learning models in critical fields increasingly grapple with multimodal data, they
face the dual challenges of handling a wide array of modalities, often incomplete due to …

Background Heart failure (HF), a global health challenge, requires innovative diagnostic and
management approaches. The rapid evolution of deep learning (DL) in healthcare …

Advancements in artificial intelligence (AI) have driven extensive research into developing
diverse multimodal data analysis approaches for smart healthcare. There is a scarcity of …

Abstract Cardiovascular diseases, including Heart Failure (HF), remain a leading global
cause of mortality, often evading early detection. In this context, accessible and effective risk …

Machine learning methods in healthcare have traditionally focused on using data from a
single modality, limiting their ability to effectively replicate the clinical practice of integrating …

Predicting cancer drug response using both genomics and drug features has shown some
success compared to using genomics features alone. However, there has been limited …

With the significant advancements of Large Language Models (LLMs) in the field of Natural
Language Processing (NLP), the development of image-text multimodal models has …