Results 241 to 250 of about 4,458,250 (263)

Integration of Self-Organizing Map (SOM) and Kernel Density Estimation (KDE) for network intrusion detection

Proceedings of SPIE, 2009
This paper proposes an approach to integrate the self-organizing map (SOM) and kernel density estimation (KDE) techniques for the anomaly-based network intrusion detection (ABNID) system to monitor the network traffic and capture potential abnormal behaviors.
Haibo He
exaly   +2 more sources

KDE-DE: A kernel density estimation-based differential entropy method for EEG feature extraction in spatial cognitive evaluation

Biomedical Signal Processing and Control
Dong Wen, Yanhong Zhou, Huibin Lu
exaly   +3 more sources

STP-KDE: A spatiotemporal trajectory protection and publishing method based on kernel density estimation

Computers and Electrical Engineering
Hancheng Long
exaly   +2 more sources

PCA-based Hotelling's T2 chart with fast minimum covariance determinant (FMCD) estimator and kernel density estimation (KDE) for network intrusion detection

Computers & Industrial Engineering, 2021
Abstract In this work, the combination between the Principal Component Analysis (PCA) and the Hotelling’s T2 chart is proposed to solve problems caused by the many highly correlated network traffic features and to reduce the computational time without reducing its accuracy detection.
Muhammad Mashuri, Muhammad Ahsan, Muhammad Hisyam Lee, Dedy Dwi Prastyo, Wibawati   +4 more
openaire   +2 more sources

ĐÁNH GIÁ TAI NẠN HÀNG HẢI THEO PHƯƠNG PHÁP ƯỚC LƯỢNG MẬT ĐỘ KDE KẾT HỢP KỸ THUẬT PHÂN CỤM ST-CLUSTERING (EVALUATION OF MARITIME ACCIDENTS USING KERNEL DENSITY ESTIMATION COMBINED WITH SPATIOTEMPORAL CLUSTERING)

Tạp chí Khoa học Công nghệ Hàng hải
Nghiên cứu này tập trung phân tích sự dịch chuyển không gian và thời gian của các tai nạn hàng hải trên phạm vi toàn cầu trong giai đoạn 2005-2025 bằng cách kết hợp hai phương pháp: ước lượng mật độ hạt nhân (KDE) và phân cụm không gian - thời gian (ST-Clustering).
Đăng Thái Vũ, Bá Thắng Nguyễn, Đình Chiến Đặng   +2 more
openaire   +1 more source

Spatial Modeling of Urban Fire Risk in Nagpur City Using Kernel Density Estimation (KDE) and GIS

Dandao Xuebao/Journal of Ballistics
Urban fires are one of the most common and devastating hazards in Indian cities because of high-density development with inadequate infrastructure. This study applies Kernel Density Estimation (KDE) integrated with GIS for identifying and analyzing the spatial fire risk patterns across Nagpur City in Maharashtra over three years, including incident ...
openaire   +1 more source

Traffic accident hotspot identification by integrating kernel density estimation and spatial autocorrelation analysis: a case study

International Journal of Crashworthiness, 2022
Giang Le
exaly  

PCA-based Hotelling's chart with fast minimum covariance determinant (FMCD) estimator and kernel density estimation (KDE) for network intrusion detection

Computers and Industrial Engineering, 2021
Muhammad Mashuri, Muhammad Hisyam Lee, Dedy Dwi Prastyo   +2 more
exaly  

Hybrid Beta-KDE Model for Solar Irradiance Probability Density Estimation

IEEE Transactions on Sustainable Energy, 2020
Samuel Feng, Bashar Zahawi, Tarek H M El-Fouly   +2 more
exaly  

A quad-tree-based fast and adaptive Kernel Density Estimation algorithm for heat-map generation

International Journal of Geographical Information Science, 2019
Zhipeng Gui, Kunxiaojia Yuan, Xiaoqiang Cheng   +2 more
exaly