Skin cancer is being a most deadly type of cancers which have grown extensively worldwide
from the last decade. For an accurate detection and classification of melanoma, several …

Plant species recognition from visual data has always been a challenging task for Artificial
Intelligence (AI) researchers, due to a number of complications in the task, such as the …

Decision analysis related to petroleum field development and management phases with
complex models can be time-consuming, especially in highly heterogeneous fields …

In this study, the combination of the support vector machine (SVM) method with the moment
analysis method (MAM) is proposed and utilized to perform neutron/gamma (n/γ) …

With the growth of the internet of things (IoT) smart objects, managing these objects
becomes a very important challenge, to know the total number of interconnected objects on …

This research work explores the Content-Based Medical Image Retrieval system (CBMIR) to
categorization and retrieval of different types of common thoracic diseases such as …

Purpose To improve the efficiency, accuracy and adaptivity of the parameter inversion
analysis method of a rockfill dam, this study aims to establish an adaptive model based on a …

In this paper a new soft subspace clustering algorithm is proposed. It is an iterative algorithm
based on the minimization of a new objective function. The classification approach is …

INDONESIA: Dampak dari bencana alam dapat membawa risiko besar terhadap kehidupan,
dan kerusakan pada sektor bangunan adalah salah satu kerugian paling fatal yang …

Power electronics are critical components in society's modern infrastructure. In electrified
vehicles and aircraft, losing power jeopardizes personal safety and incur financial penalties …