Clustering is a set of essential mathematical techniques in artificial intelligence and machine
learning for analyzing massive amounts of data generated by applications. Clustering uses …

The k-means algorithm, known for its simplicity and adaptability, faces challenges related to
manual cluster number selection and sensitivity to initial centroid placement. This paper …

Abstract The Ocean Observation Network (OON) is an ocean science and engineering
observation platform which integrates underwater wireless sensors, acoustic buoys …

In the context of global climate change and increasing human activities, grassland drought
has become increasingly severe and complex. The monitoring of grassland drought is …

Text clustering is a task for grou** extracted information of the text in different clusters,
which has many applications in recommender systems, sentiment analysis, and more. Deep …

As the main source of cooling in a city, water bodies play an important role in regulating the
natural environment. However, there is a lack of analysis regarding the most effective …

Abstract This study defines Provincial Carbon Emission Characteristics (PCEC) as the
socioeconomic conditions influencing provincial carbon emissions, the potential for carbon …

Extreme meteorological events and rapid urbanization have led to serious urban flooding
problems. Characterizing spatial variations in flooding susceptibility and elucidating its …

Energy system modelling may support policymakers in their energy planning efforts. Energy
system modellers usually identify the optimal system configuration based on an economic …

Gastric intestinal metaplasia (GIM) is a frequent lesion of the gastrointestinal tract, and its
clinical grading can significantly reduce the risk of gastric cancer. Pre-trained vision …