Recently, various sophisticated methods, including machine learning and artificial
intelligence, have been employed to examine health-related data. Medical professionals are …

Emotional state recognition of a speaker is a difficult task for machine learning algorithms
which plays an important role in the field of speech emotion recognition (SER). SER plays a …

In this paper, we study what are the most important factors that deteriorate the performance
of the k-means algorithm, and how much this deterioration can be overcome either by using …

52-61 PKL+-+19175016+-+Sekar+Setyaningtyas (3).docx Page 1 Sekar Setyaningtyas, et al
/Jurnal Teknoif Teknik Informatika Institut Teknologi Padang - Vol. 10 No. 2 (2022) 52-61 DOI …

Clustering aims to partition an input dataset into distinct groups according to some distance
or similarity measurements. One of the most widely used clustering method nowadays is the …

Image segmentation is an important preprocessing operation in image recognition and
computer vision. This paper proposes an adaptive K-means image segmentation method …

It is important to understand the propagation of an agricultural drought, which is crucial for
early warning. Recent studies have partly revealed this hidden process and regarded it as …

As a special ecosystem in cities, urban wetland parks have important environmental
regulation and social service functions. This paper proposes a new methodology of urban …

Background The COVID-19 pandemic has been accompanied by an infodemic: excess
information, including false or misleading information, in digital and physical environments …

Surface water is vital resources for terrestrial life, while the rapid development of
urbanization results in diverse changes in sizes, amounts, and quality of surface water. To …