Results 21 to 30 of about 5,170 (214)
Probabilistic CkNN Queries of Uncertain Data in Large Road Networks
IEEE Access, 2016 Continuous k-nearest neighbor (CkNN) query processing is an important issue in spatial temporal databases. In real-world scenarios, query clients and data objects may move with uncertain speeds on the road networks, which makes retrieving the exact CkNN ...
Yanhong Li +4 more
doaj +1 more source
A Novel Index Method for K Nearest Object Query over Time-Dependent Road Networks
Complexity, 2019 K nearest neighbor (kNN) search is an important problem in location-based services (LBS) and has been well studied on static road networks. However, in real world, road networks are often time-dependent; i.e., the time for traveling through a road ...
Yajun Yang +5 more
doaj +1 more source
Hierarchical Quadrant Spatial LSM Tree for Indexing Blockchain-Based Geospatial Point Data
IEEE Access, 2023 Blockchain technology is attracting attention for its high usability in various fields such as IoT and healthcare, and it is being used as an alternative to distributed databases.
Junghyun Lee +3 more
doaj +1 more source
Flexible Integration of Structurally Diverse Spatial Multi‐Omics With AgaeSMO [PDF]
Advanced scienceAgaeSMO is a versatile and robust deep learning framework for flexible cross‐integration of spatial multi‐omics data. Leveraging a GATs network with a graph attention module, it learns joint embedding across diverse modalities, enabling integration of both structurally paired (e.g., spatial transcriptome‐epigenome, transcriptome‐proteome, transcriptome‐
Liu K +9 more
europepmc +2 more sources
Robust K nearest neighbor query processing algorithm in wireless sensor networks
Tongxin xuebao, 2010 A robust K nearest neighbor query processing algorithm called ROC-KNN was proposed.It divides the query region into several sub-regions according the network topology.Each sub-region has a cluster node which collects the sensory data in it,sends it to ...
LIU Liang +3 more
doaj +2 more sources
K-NEAREST NEIGHBOUR QUERY PERFORMANCE ANALYSES ON A LARGE SCALE TAXI DATASET: POSTGRESQL VS. MONGODB [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 The increasing volume of transport network data necessitates the use of a DataBase Management System (DBMS) to store, query and analyse data. There are two main types of DBMS: relational and non-relational. Many different DBMS are available on the market
İ. B. Coşkun, S. Sertok, B. Anbaroğlu
doaj +1 more source
Patients improve, patterns persist: longitudinal stability of RA joint involvement patterns
Arthritis Care &Research, Accepted Article.Objective Rheumatoid arthritis is a heterogeneous disease. Data‐driven approaches, from synovial histology to joint involvement patterns (JIPs), have sought to define clinically meaningful subgroups. Whether these subgroups represent stable phenotypes or transient disease states remains unclear.
Tjardo Maarseveen +24 more
wiley +1 more source
Sensors, 2018 With the rapid development of mobile devices and sensors, effective searching methods for big spatial data have recently received a significant amount of attention.
Bumjoon Jo, Sungwon Jung
doaj +1 more source
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz +4 more
wiley +1 more source