Search Results - density based noise (application OR applications) spatial clustering algorithm~

ML-based State of Polarization Analysis to Detect Emerging Threats to Optical Fiber Security

Authors: Sadighi, Leyla Karlsson, Stefan Natalino Da Silva, Carlos et al.

Source: IEEE Transactions on Network and Service Management. In Press

Subject Terms: State of Polarization (SOP) variations, Semi-Supervised Learning (SSL), anomaly detection, Machine Learning (ML), Unsupervised Learning (USL), One-Class Support Vector Machine (OCSVM), Density-Based Spatial Clustering of Applications with Noise (DBSCAN)

File Description: electronic

Access URL: https://research.chalmers.se/publication/548341
https://research.chalmers.se/publication/548341/file/548341_Fulltext.pdf

Discovering metro passenger flow recovery patterns under unplanned disruptions: a disruption impact quantification-based clustering approach.

Authors: Zhao, Yangyang Ma, Zhenliang Peng, Hui

Source: International Journal of Rail Transportation. Dec2025, Vol. 13 Issue 6, p1255-1276. 22p.

Subject Terms: *PUBLIC transit, *METROPOLITAN areas, CLUSTERING algorithms, INTERRUPTION (Psychology), HIERARCHICAL clustering (Cluster analysis)

Geographic Terms: HONG Kong (China)

Adaptive path planning for dry bulk carriers under sudden maritime disturbances: A network-based approach

Authors: Li, Haijiang Ma, Qianqi Si, Ruibin et al.

Source: PIANO - Physics Informed Machine Learning Architecture for Optimal Auxiliary Wind Propulsion Ocean Engineering. 343(4)

Subject Terms: Density-based spatial clustering of applications with noise (DBSCAN), Shipping route network, Multi-objective optimization, Carbon emissions, Automatic identification system (AIS)

Access URL: https://research.chalmers.se/publication/549664
https://research.chalmers.se/publication/549713

面向雷达信号预分选的粒子群快速密度聚类算法.

Alternate Title: A Particle Swarm Fast Density Clustering Algorithm for Radar Signal Pre-sorting.

Authors: 路心雨 黄永辉 崔天舒 et al.

Source: Telecommunication Engineering. 10/28/2025, Vol. 65 Issue 10, p1587-1594. 8p.

Subject Terms: *DATA structures, PARTICLE swarm optimization, RADAR signal processing, MILITARY electronics, COMPUTATIONAL complexity, CLUSTERING algorithms

A novel NAM‐based image segmentation using hierarchical density‐based spatial clustering.

Authors: Zheng, Yunping Wen, Dilong Sarem, Mudar

Source: IET Image Processing (Wiley-Blackwell); Apr2024, Vol. 18 Issue 5, p1245-1257, 13p

Subject Terms: IMAGE segmentation, IMAGE processing, IMAGE representation

Outlier identification and group satisfaction of rating experts: density-based spatial clustering of applications with noise based on multi-objective large-scale group decision-making evaluation.

Authors: Zhou, Shengjia Zhou, Junxing Chen, Sichao

Source: Economic Research-Ekonomska Istrazivanja (Taylor & Francis Ltd). December 2023, Vol. 36 Issue 1, p562-592. 31p.

Subject Terms: *GROUP decision making, *SERVER farms (Computer network management), SATISFACTION, FUZZY sets

A novel adaptive density-based spatial clustering of application with noise based on bird swarm optimization algorithm.

Authors: Wang, Limin Wang, Honghuan Han, Xuming et al.

Source: Computer Communications. Jun2021, Vol. 174, p205-214. 10p.

Subject Terms: *MATHEMATICAL optimization, *PROBLEM solving, *CLUSTER analysis (Statistics), *PROCESS optimization, PARTICLE swarm optimization, HIGH-dimensional model representation, IMAGE analysis

Ship Formation and Route Optimization Design Based on Improved PSO and D-P Algorithm

Authors: Peilong Xu Dan Lan Haolin Yang et al.

Source: IEEE Access, Vol 13, Pp 15529-15546 (2025)

Subject Terms: D-P algorithm, route optimization, PSO, ship formation, spatial clustering algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Access URL: https://doaj.org/article/4cc6af7fcd9f481c804e74464d93cd47

DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastoma.

Authors: Chicco, Davide Oneto, Luca Cangelosi, Davide

Source: BioData Mining; 6/12/2025, Vol. 18 Issue 1, p1-17, 17p

Subject Terms: ELECTRONIC health records, DATA libraries, COMPUTATIONAL intelligence, CHILDHOOD cancer, ARTIFICIAL intelligence, MEDICAL informatics

Application of Improved HF-DBSCAN Algorithm in Analyzing Complex Trajectory Data of Wi-Fi Users in Smart Campus.

Authors: Li, Likun Yu, Kun

Source: Applied Artificial Intelligence. 2024, Vol. 38 Issue 1, p1-29. 29p.

Subject Terms: *CLUSTER analysis (Statistics), *ALGORITHMS, *WIRELESS Internet, CLUSTERING algorithms, MOBILE apps

Keypoints based enhanced multiple copy‐move forgeries detection system using density‐based spatial clustering of application with noise clustering algorithm.

Authors: Soni, Badal Das, Pradip K. Thounaojam, Dalton Meitei

Source: IET Image Processing (Wiley-Blackwell). Nov2018, Vol. 12 Issue 11, p2092-2099. 8p.

An Improved Random Sample Consensus Based on Density-Based Spatial Clustering of Applications with Noise for Image Mosaic.

Authors: Jinda Liu Hou, Yanyang Pei, Hongxing

Source: Pattern Recognition & Image Analysis; Oct2021, Vol. 31 Issue 4, p625-631, 7p

An Empirical Study on Anomaly Detection Using Density-based and Representative-based Clustering Algorithms.

Authors: Fuhnwi, Gerard Shu Agbaje, Janet O. Oshinubi, Kayode et al.

Source: Journal of Nigerian Society of Physical Sciences; May2023, Vol. 5 Issue 2, p1-13, 13p

Subject Terms: ANOMALY detection (Computer security), ALGORITHMS, INTERNET security, BANKING industry, TRANSPORTATION

Advanced computational tools for EELS data reduction and clustering, quantitative analysis and 3D reconstructions

Authors: Blanco Portals, Javier

Contributors: University/Department: Universitat de Barcelona. Facultat de Física

Thesis Advisors: Peiró Martínez, Francisca, Estradé Albiol, Sònia

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Nanociència, Nanociencia, Nanoscience, Tomografia, Tomografía, Tomography, Espectroscòpia de pèrdua d'energia d'electrons, Espectroscopía por pérdidas de energía de electrones, Electron energy loss spectroscopy, Ciències Experimentals i Matemàtiques

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/674279

Identification of severity related mutation hotspots in SARS-CoV-2 using a density-based clustering approach.

Authors: Youn, Sohyun Jeong, Dabin Kwon, Hwijun et al.

Source: BioData Mining; 9/1/2025, Vol. 18 Issue 1, p1-21, 21p

Subject Terms: SARS-CoV-2, GENETIC mutation, CYTOKINES, CLUSTERING algorithms, GENETIC variation, GENE expression, KILLER cells

Multiple Source Detection Based on Spatial Clustering and Its Applications on Wearable OPM-MEG.

Authors: An, Nan Cao, Fuzhi Li, Wen et al.

Source: IEEE Transactions on Biomedical Engineering. Oct2022, Vol. 69 Issue 10, p3131-3141. 11p.

Subject Terms: *MATHEMATICAL optimization, PARTICLE swarm optimization, CLINICAL neurosciences, MAGNETIC fields, INVERSE problems, NEUROSCIENCES, BRAIN function localization

Scalable Clustering of Complex ECG Health Data: Big Data Clustering Analysis with UMAP and HDBSCAN.

Authors: Kaverinskiy, Vladislav Chaikovsky, Illya Mnevets, Anton et al.

Source: Computation; Jun2025, Vol. 13 Issue 6, p144, 21p

Subject Terms: CLUSTERING algorithms, HEART failure patients, HEART beat, HEART failure, EUCLIDEAN distance

Spatiotemporal Patterns of Drought Migration Across the Contiguous United States.

Authors: Sabut, Amitesh Mishra, Ashok Entekhabi, Dara

Source: Water Resources Research; Jun2025, Vol. 61 Issue 6, p1-20, 20p

Subject Terms: CLIMATE extremes, DROUGHT forecasting, ARID regions, DROUGHT management, CONUS, CENTROID, NATURAL disasters

Advancing genetics of agriculture and biomolecules: A BERTopic-based analysis of research evolution in leading agricultural universities.

Authors: Lu, Changyun Zhu, Longjiao Xie, Yushi et al.

Source: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 3, p1-21, 21p

Subject Terms: GENETICS, AGRICULTURE, BIOMOLECULES, THEMATIC analysis, RESEARCH & development, TECHNOLOGICAL innovations, FOOD security

Machine Learning-Driven Early Productivity Forecasting for Post-Fracturing Multilayered Wells.

Authors: Zhu, Ruibin Li, Ning Liu, Guohua et al.

Source: Water (20734441); Oct2025, Vol. 17 Issue 19, p2804, 23p

Subject Terms: MACHINE learning, HYDRAULIC fracturing, FORECASTING, FEATURE selection, INDUSTRIAL productivity, HYDRAULIC conductivity