The process of segmenting tumor from MRI image of a brain is one of the highly focused
areas in the community of medical science as MRI is noninvasive imaging. This paper …

Data mining is an analytical approach that contributes to achieving a solution to many
problems by extracting previously unknown, fascinating, nontrivial, and potentially valuable …

Intisari—Pandemi COVID-19 merupakan suatu kejadian yang menimbulkan banyak sekali
data yang sulit diolah. Data-data yang sangat penting seperti jumlah infeksi yang …

Due to the progressive growth of the amount of data available in a wide variety of scientific
fields, it has become more difficult to manipulate and analyze such information. In spite of its …

Data Mining is the technique used to visualize and scrutinize the data and drive some useful
information from that data so that information can be used to perform any useful work. So …

The use of Unmanned Aerial Vehicles (UAVs) in viticulture permits the capture of aerial Red-
Green-Blue (RGB) images with an ultra-high spatial resolution. Recent studies have …

K-means plays an important role in different fields of data mining. However, k-means often
becomes sensitive due to its random seeds selecting. Motivated by this, this article proposes …

K-means is a widely used clustering algorithm in field of data mining across different
disciplines in the past fifty years. However, k-means heavily depends on the position of initial …

Due to the complex static, dynamic, and large-scale characteristics for modern industrial
processes, in this article, we propose a double-layer distributed monitoring approach based …

The potential of precision viticulture has been highlighted since the first studies performed in
the context of viticulture, but especially in the last decade there have been excellent results …