Latent fingerprint segmentation is a complex process of separating relevant areas called
fingerprints from an irrelevant background in the latent fingerprint image which is of poor …

Simple Summary This study aimed to investigate the efficacy of implementation of novel skin
surface fractal dimension features as an auxiliary diagnostic method for melanoma …

Forecasting municipal solid waste (MSW) generation and composition plays an essential
role in effective waste management, policy decision-making and the MSW treatment …

The number of Neighbours (k) and distance measure (DM) are widely modified for improved
kNN performance. This work investigates the joint effect of these parameters in conjunction …

Heart disease is a general term for all of types of the disorders which is affects the heart. This
research aims to compare several classification algorithms known as the C4. 5 algorithm …

The escalating issue of land subsidence poses a critical threat to the economic prosperity of
Indonesia's North Coast in Central Java. This recurring phenomenon intensifies annual tidal …

In this study, we present a swing-arm type membrane-type acoustic metamaterial (MAM)
with multi-state anti-resonances. The designed structure is lightweight and can achieve …

The savings and loan business in this current era is increasingly circulating in society, both
online and offline or conventionally. There are also many companies that provide savings …

Crimes are a social issue that affects not only an individual but also humanity. Crime
classification techniques for crime forecasting are an emerging research area. generally …

Medical data classification is of great significance for medical information practices. K-
Nearest Neighbors classifier is a frequently applied simple algorithm to enhance accuracy …