Results 41 to 50 of about 76,600 (295)
A survey on trajectory clustering analysis
CoRR, 2018 This paper comprehensively surveys the development of trajectory clustering. Considering the critical role of trajectory data mining in modern intelligent systems for surveillance security, abnormal behavior detection, crowd behavior analysis, and traffic control, trajectory clustering has attracted growing attention.
Jiang Bian 0006 +3 more
openaire +2 more sources
A coarse-to-fine strategy for vehicle motion trajectory clustering [PDF]
, 2006 High-level semantic understanding of vehicle motion behaviors is often based on vehicle motion trajectory clustering. In this paper, we propose an effective trajectory clustering framework in which a coarse-to-fine strategy is taken.
Xi Li +4 more
core +1 more source
Object trajectory clustering via tensor analysis
, 2009 In this paper we present a new video object trajectory clustering algorithm, which allows us to model and analyse the patterns of object behaviors based on the extracted features using tensor analysis.
Tao, Dacheng +15 more
core +1 more source
Design of intelligent acquisition system for moving object trajectory data under cloud computing
Journal of Intelligent Systems, 2021 In order to study the intelligent collection system of moving object trajectory data under cloud computing, information useful to passengers and taxi drivers is collected from massive trajectory data.
Zhang Yang +4 more
doaj +1 more source
ISPRS International Journal of Geo-Information, 2021 Urban hotspot area detection is an important issue that needs to be explored for urban planning and traffic management. It is of great significance to mine hotspots from taxi trajectory data, which reflect residents’ travel characteristics and the ...
Qingying Yu +3 more
doaj +1 more source
DETECTING HOTSPOTS FROM TAXI TRAJECTORY DATA USING SPATIAL CLUSTER ANALYSIS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 A method of trajectory clustering based on decision graph and data field is proposed in this paper. The method utilizes data field to describe spatial distribution of trajectory points, and uses decision graph to discover cluster centres.
P. X. Zhao +4 more
doaj +1 more source
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
AIS data-based efficient ship trajectory clustering
, 2023 High-quality ship trajectory clustering is an important fundament for learning meaningful knowledge from massive historical trajectories, which are commonly extracted from the shipborne Automatic Identification System (AIS) data.
Jiang, Wenchao +7 more
core +1 more source
Clustering Indoor Positioning Data Using E-DBSCAN
ISPRS International Journal of Geo-Information, 2021 Indoor positioning data reflects human mobility in indoor spaces. Revealing patterns of indoor trajectories may help us understand human indoor mobility.
Dayu Cheng, Guo Yue, Tao Pei, Mingbo Wu
doaj +1 more source