Results 1 to 10 of about 5,238 (132)
Spatiotemporal Analysis of Gastrointestinal Tumor (GI) with Kernel Density Estimation (KDE) Based on Heterogeneous Background. [PDF]
Int J Environ Res Public Health, 2022 The purpose of this study is to explore hotspots or clusters of gastrointestinal tumors (GI) and their spatiotemporal distribution characteristics and the changes over time in 293 villages and communities in Jianze County, central China, through the kernel density estimation (KDE) method based on the rarely considered heterogeneous background. The main
Yang Z, He S, Zhang H, Li M, Liang Y.
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Kernel Density Estimation (KDE) as a tool to enhance bovine tuberculosis surveillance in Santa Catarina, Brazil. [PDF]
Braz J Vet MedIn areas with low bovine tuberculosis (bTB) prevalence, such as Santa Catarina state, Brazil, effective surveillance is essential for disease eradication. Current strategies may miss high-risk farms by inadequately considering spatial risk factors.
Lourenço LFC +3 more
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ISPRS International Journal of Geo-Information, 2023 Kernel density estimation (KDE) is a commonly used method for spatial point pattern analysis, but it is computationally demanding when analyzing large datasets. GPU-based parallel computing has been adopted to address such computational challenges.
Guiming Zhang, Jin Xu
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Kernel Density Estimation-based Lightweight IoT Anomaly Traffic Detection Method [PDF]
Jisuanji kexue, 2021 In order to effectively deal with the security threats of home and personal Internet of Things(IoT) bot nets,especially for the objective problem of insufficient resources for anomaly detection in the home environment,a kernel density estimation-based ...
ZHANG Ye, LI Zhi-hua, WANG Chang-jie
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EEG Signal Enhancement Using OWA Filter [PDF]
ITM Web of Conferences, 2021 Biomedical signal monitoring and recording are an integral part of medical diagnosis and treatment control mechanisms. For this, enhanced signals with appropriate peak preservation are required.
Yadav Soham +3 more
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Scientific Reports, 2022 Abstract Multivariate control charts have been applied in many sectors. One of the sectors that employ this method is network intrusion detection. However, the issue arises when the conventional control chart faces difficulty monitoring the network-traffic data that do not follow a normal distribution as required.
Muhammad Ahsan +3 more
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Energies, 2022 This paper proposes a wind power probabilistic model (WPPM) using the reflection method and multi-kernel function kernel density estimation (KDE).
Juseung Choi +2 more
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International Journal of Emerging Technologies in Learning (iJET), 2022 Uncertainty of getting admission into universities / institutions is one of the global challenges in academic environment. The students are having good marks with high credential but not sure about getting their admission into universities / institutions.
Nasim Abdulwahab Matar +2 more
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Forensic face recognition based on KDE and evidence theory [PDF]
MATEC Web of Conferences, 2021 Forensic face recognition (FFR) has been studied in recent years in forensic science. Given an automatic face recognition system, output scores of the system are used to describe the similarity of face image pairs, but not suitable for forensics. In this
Xiao Wen
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Annals of GIS, 2023 This paper presents a new method for predictive crime hotspot analysis that further improves the kernel density estimation (KDE) method and the spatio-temporal kernel density estimation (STKDE) method by accounting for temporal crime cycles and is ...
Ya Han, Yujie Hu, Haojie Zhu, Fahui Wang
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