Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells
that can spread in different parts of the body. According to the World Health Organization …

Abstract Gene Expression Data is the biological data to extract meaningful hidden
information from the gene dataset. This gene information is used for disease diagnosis …

Breast cancer is the second leading cause of mortality among women. Early and accurate
detection plays a crucial role in lowering its mortality rate. Timely detection and classification …

In the medical field, various experiments are conducted to predict disease in future
healthcare using machine learning approaches. At the same time, there is a lack of a model …

Population growth and industrialization lead to a proportionate increase in cities' daily waste
generation rates. Communities in developing cities often turn to waste disposal methods that …

This study presents a novel method to detect the medical application based on Quantum
Computing (QC) and a few Machine Learning (ML) systems. QC has a primary advantage ie …

Emergence of feature selection technique as a chronic and promising research topic has
created profound impact on the advancement of bioinformatics in our techno-equipped …

This paper addresses a novel neuro-fuzzy-based approach to set the weighted linking
strength of parameter-adaptive reduced pulse coupled neural networks. In reduced PCNN …

Wayang merupakan salah satu kesenian yang tumbuh dan berkembang di Indonesia yang
menceritakan tentang perwatakan manusia. Wayang tumbuh pesat di daerah Jawa …

Recurrent neural networks are widely used in time series prediction and classification.
However, they have problems such as insufficient memory ability and difficulty in gradient …