Short text clustering algorithms, application and challenges: A survey

MH Ahmed, S Tiun, N Omar, NS Sani - Applied Sciences, 2022 - mdpi.com
The number of online documents has rapidly grown, and with the expansion of the Web,
document analysis, or text analysis, has become an essential task for preparing, storing …

Some non-uniformity patterns spread over the lower Mahanadi River Basin, India

RT Sahu, MK Verma, I Ahmad - Geocarto International, 2022 - Taylor & Francis
Purpose The purpose of the study is to assess the non-uniformity in precipitation patterns
spread over the lower Mahanadi River basin (LMB). Methodology/approach …

Spatial variability of seasonal rainfall onset, cessation, length and rainy days in Rwanda

JN Sebaziga, B Safari, JN Ngaina, D Ntwali - Theoretical and Applied …, 2024 - Springer
This study investigates the spatial patterns and variabilities of Seasonal Rainfall Onset Day
(OD), Cessation Day (CD), Seasonal Length (SL), and Number of Rainy Days (RD) in …

Spatial and Temporal Analysis of Rainfall Variability and Trends for Improved Climate Risk Management in Kayonza District, Eastern Rwanda

JN Sebaziga, A Twahirwa, J Kazora… - Advances in …, 2023 - Wiley Online Library
The variability, intensity, and distribution of rainfall have drawn a lot of interest globally and
especially in nations where rainfed agriculture is the norm. This article uses rainfall data …

[HTML][HTML] Clustering analysis of the Sargassum transport process: application to beaching prediction in the Lesser Antilles

D Bernard, E Biabiany, R Cécé, R Chery… - Ocean …, 2022 - os.copernicus.org
The massive Sargassum algae beachings observed over the past decade are a new natural
hazard currently impacting the island states of the Caribbean region (human health …

Application of PPIE method to assess the uncertainty and accuracy of multi-climate model-based temperature and precipitation downscaling

V Nourani, NJ Paknezhad, JJ Huang‬‬‬‬ - Theoretical and Applied …, 2022 - Springer
This study attempted to investigate the accuracy and uncertainty involved in downscaled
climatic parameters obtained via the artificial neural network (ANN). Two climate models …

Battlefield target grouping by a hybridization of an improved whale optimization algorithm and affinity propagation

Y Duan, C Liu, S Li - IEEE Access, 2021 - ieeexplore.ieee.org
Target grouping, which is essentially a data clustering problem, is a research hotspot in the
field of battlefield situation assessment. To address an unknown battlefield environment …

Atmospheric drivers of oceanic north swells in the eastern Caribbean

TW Hawkins, I Gouirand, T Allen… - Journal of Marine Science …, 2022 - mdpi.com
Large wintertime ocean swells in the Caribbean, known as north swells, generate high surf
and expose communities, ecosystems, and infrastructure to hazardous conditions. Empirical …

Using unsupervised learning to classify inlet water for more stable design of water reuse in industrial parks

K Chen, X Shi, Z Zhang, S Chen, J Ma… - Water Science & …, 2024 - iwaponline.com
The water reuse facilities of industrial parks face the challenge of managing a growing
variety of wastewater sources as their inlet water. Typically, this clustering outcome is …

The ensemble distance on model-based clustering for regions clustering based on rainfall: The case of rainfall in West Java Indonesia

T Hendrawati, A Wigena, I Sumertajaya… - … Journal of Data and …, 2024 - growingscience.com
Time series data clusters are being researched thoroughly. The distance metric drives the
development of the clustering time series. The ARIMA model is one of the models that can …