Results 11 to 20 of about 27,025 (207)
RT-DBSCAN: Accelerating DBSCAN using Ray Tracing Hardware
2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023 General Purpose computing on Graphical Processing Units (GPGPU) has resulted in unprecedented levels of speedup over its CPU counterparts, allowing programmers to harness the computational power of GPU shader cores to accelerate other computing applications.
Nagarajan, Vani, Kulkarni, Milind
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An abnormal traffic detection method in smart substations based on coupling field extraction and DBSCAN [PDF]
E3S Web of Conferences, 2021 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
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ECR-DBSCAN: An improved DBSCAN based on computational geometry
Machine Learning with Applications, 2021 A new density based clustering algorithm ECR−DBSCANbased on DBSCAN, has been presented in this paper. Computational geometry is applied to develop the modified DBSCANalgorithm. It is well known that the quality of density based clustering depends on its input parameters. However, it is not easy to determine proper values of input parameters for DBSCAN.
Kinsuk Giri +2 more
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Shrimps clusterization by size using digital image processing with CCA and DBSCAN
Jurnal Teknologi dan Sistem Komputer, 2020 The quality of farmed shrimps has several criteria, one of which is shrimp size. The shrimp selection was carried out by the contractor at the harvest time by grouping the shrimp based on their size.
Adri Priadana, Aris Wahyu Murdiyanto
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南方能源建设, 2023 [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
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Determining parameters of DBSCAN Algorithm in Dynamic Environments Automatically using Dynamic Multi-objective Genetic Algorithm [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 Spatio-temporal (ST) clustering is a relatively new field in data mining with great popularity, especially in geographic information. Moving objects are a type of ST data where the available information on these objects includes their last position.
Z. Falahiazar, A.R. Bagheri, M. Reshadi
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Quantum algorithm for MMNG-based DBSCAN [PDF]
Scientific Reports, 2021 AbstractDBSCAN is a famous density-based clustering algorithm that can discover clusters with arbitrary shapes without the minimal requirements of domain knowledge to determine the input parameters. However, DBSCAN is not suitable for databases with different local-density clusters and is also a very time-consuming clustering algorithm.
Xuming Xie +3 more
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Analysis of Earthquake Activity in Indonesia by Clustering Method
Journal of Physics: Theories and Applications, 2021 Indonesia is an area where three large tectonic plates meet, namely the Indo-Australian, Eurasian and Pacific plates, so that Indonesia is included in the earthquake-prone category, with 11,660 earthquake vibrations identified in the Meteorology ...
Adi Jufriansah +3 more
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Event detection in location-based social networks [PDF]
, 2017 With the advent of social networks and the rise of mobile technologies, users have become ubiquitous sensors capable of monitoring various real-world events in a crowd-sourced manner.
Capdevila Pujol, Joan +2 more
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A Decision Support Tool for Energy-Optimising Railway Timetables Based on Behavioural Data [PDF]
, 2019 Energy-efficient train operation can reduce operating costsand contribute to a reduction in CO2 emissions. To utilise the fullpotential of energy-efficient driving, energy-efficient timetabling is crucial.To address this problem, we propose a decision ...
Als, Matthias Villads Hinsch +3 more
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