Data collection optimization of ocean observation network based on AUV path planning and communication

Z Yan, Y Li - Ocean Engineering, 2023 - Elsevier
Abstract The Ocean Observation Network (OON) is an ocean science and engineering
observation platform which integrates underwater wireless sensors, acoustic buoys …

Handling Imbalanced Data through Re-sampling: Systematic Review

R Eltayeb, AE Karrar, WI Osman… - Indonesian Journal of …, 2023 - section.iaesonline.com
Handling imbalanced data is an important issue that can affect the validity and reliability of
the results. One common approach to addressing this issue is through re-sampling the data …

Machine Learning for Missing Value Imputation

AF Ahmad, K Alshammari, I Ahmed… - arxiv preprint arxiv …, 2024 - arxiv.org
In recent times, a considerable number of research studies have been carried out to address
the issue of Missing Value Imputation (MVI). MVI aims to provide a primary solution for …

A methodology for evaluating feature selection and clustering methods with project-specific requirements

H von Linde, O Riedel - International Journal of Production …, 2024 - Taylor & Francis
This paper describes a methodology for ranking feature selection and clustering methods
with user-specific preferences and taking data properties into account. For a better …

A novel method for solar image retrieval based on the parzen kernel estimate of the function derivative and convolutional autoencoder

R Grycuk, T Galkowski, R Scherer… - … Joint Conference on …, 2022 - ieeexplore.ieee.org
The Sun's activity has an enormous impact on the climate and technology on the Earth. The
NASA Solar Dynamic Observatory (SDO) spacecraft produces an enormous number of …

Learning behavior analysis and learning effect evaluation in open online courses

X Li - Creative Education, 2022 - scirp.org
In the context of globalization, the trend of globalization in the field of education is becoming
more and more significant. With the maturity of Internet and cloud computing, a large online …

EM-IFCM: Fuzzy c-means clustering algorithm based on edge modification for imbalanced data

Y Pu, W Yao, X Li - Information Sciences, 2024 - Elsevier
The improved fuzzy c-means (IFCM) algorithm is an effective technique for handling the
“uniform effect” in imbalanced data clustering; it adjusts the weight of each class based on …

A spatio-temporal binary grid-based clustering model for seismicity analysis

RK Vijay, SJ Nanda, A Sharma - Pattern Analysis and Applications, 2024 - Springer
This paper presents a spatio-temporal binary grid-based clustering model for determining
complex earthquake clusters with different shapes and heterogeneous densities present in a …

Density peaks clustering algorithm with connected local density and punished relative distance

J **ong, W Zang, Y Zhao, X Liu - The Journal of Supercomputing, 2024 - Springer
Density peaks clustering (DPC) algorithm has been widely applied in many fields due to its
innovation and efficiency. However, the original DPC algorithm and many of its variants …

Beyond Information System User Behavior Models: The Power of User Groups in Preventing Insider Attacks

O Ņikiforova, V Zabiniako - Intelligent Systems Conference, 2024 - Springer
Traditional information security methods, such as access control and firewalls, cannot
always provide effective protection against internal threats. Analysis of user behavior allows …