Results 21 to 30 of about 15,127 (194)
richardtjornhammar/impetuous: determinsitic dbscan
The impetuous DBSCAN and additional ...
Richard Tjörnhammar
core +1 more source
Real-time object detection is an integral part of internet of things (IoT) application, which is an important research field of computer vision. Existing lightweight algorithms cannot handle target occlusions well in target detection tasks in indoor ...
Shen Jianing, Zhou Yang
doaj +1 more source
An abnormal traffic detection method in smart substations based on coupling field extraction and DBSCAN [PDF]
Smart Substation becomes more vulnerable to cyber attacks due to the high integration of information technologies, so it is essential to detect intrusion behaviour by abnormal traffic analysis in smart substations. Although there have been many detection
Tian Jianwei +5 more
doaj +1 more source
Research on Ship Trajectory Extraction Based on Multi-Attribute DBSCAN Optimisation Algorithm
With the vigorous development of maritime traffic, the importance of maritime navigation safety is increasing day by day. Ship trajectory extraction and analysis play an important role in ensuring navigation safety.
Xu Xiaofeng +3 more
doaj +1 more source
Optimization of the Grounding Resistance of the Neutral in 20 kV Networks According to the Criteria of Minimizing the Significant Value of the Ground Fault Current and the Overvoltage Amplitude [PDF]
The main objective of this study is to determine the optimal resistance of transformer neutral resistive grounding in 20 kV distribution networks using clustering methods.
Kyryk V.V., Buriak A.R.
doaj +1 more source
The correct individual tree segmentation of the forest is necessary for extracting the additional information of trees, such as tree height, crown width, and other tree parameters.
Chen Qiuji +3 more
doaj +1 more source
This paper describes the process of cluster analysis on the DBSCAN density-based clustering algorithm and the OPTICS augmentation algorithm implemented in R..
Nur Salman, Mustikasari, Mustikasari
core +1 more source
Trigonometric words ranking model for spam message classification
Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
wiley +1 more source
Identifying urban land use social functional units: a case study using OSM data
Urban land use is always the central focus of urban planners and policymakers when pursuing urban sustainable development. Currently, many studies have explored urban land use using satellite data, but few of them can identify the social function of land
Zhen Liu
doaj +1 more source
[Introduction] The correct topology information recorded by the power supply department can help the staff monitor the power grid information, analyze the faults, and optimize the operation of the power grid to meet the needs of lean and intelligent ...
Donghui YAN
doaj +1 more source

