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1
Clustering Spatial Data Using a Kernel-Based Algorithm
Published 2005“…Therefore, this work comes up with new clustering algorithm using kernel-based methods for effective and efficient data analysis by exploring structures in the data.…”
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2
An extended ID3 decision tree algorithm for spatial data
Published 2011“…Empirical result demonstrates that the proposed algorithm can be used to join two spatial objects in constructing spatial decision trees on small spatial dataset. …”
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3
Classification model for hotspot occurrences using spatial decision tree algorithm
Published 2013“…Empirical result demonstrates that the proposed algorithm can be used to join two spatial objects in constructing a spatial decision tree from a spatial dataset. …”
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Investigations On Human Perceptual Maps Using A Stereo-Vision Mobile Robot
Published 2018“…A new computational theory of human spatial cognitive mapping has been proposed in the literature, and analyzed using a laser-based mobile robot. …”
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6
Iterative spatial sectoring algorithm: a computer based approach to determining area of irregular closed space and tumor volume
Published 2011“…The approximation made at the stage of finding the area would affect the determination of brain tumor volume and shape when it is eventually used in its calculation. The Iterative Spatial Sectoring algorithm presented in this paper is the stepwise approach of a novel idea leading to precise determination of area of irregular snaky edged close space. …”
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Proceeding Paper -
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Spatial Clustering Algorithm for Time Series Rainfall Data Using X-Means Data Splitting
Published 2017“…Therefore, a clustering algorithm by introducing data transformation using X-means data splitting is proposed to investigate the spatial homogeneity of time series rainfall data. …”
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Improving pipelined time stepping algorithm for distributed memory multicomputers
Published 2010“…Time stepping algorithm with spatial parallelisation is commonly used to solve time dependent partial differential equations. …”
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9
Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes
Published 2012“…The filter algorithm is based on an enhanced harmonic mean filter algorithm. …”
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10
Modeling forest fires risk using spatial decision tree
Published 2011“…This paper presents our initial work in developing a spatial decision tree using the spatial ID3 algorithm and Spatial Join Index applied in the SCART (Spatial Classification and Regression Trees) algorithm. …”
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11
Spatial Signature Algorithm (SSA): A New Approach In Countermeasuring XML Signature Wrapping Attack
Published 2024journal::journal article -
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The design and implementation of a two and three-dimensional triangular irregular network based GIS
Published 2000“…Further, two application programs are developed, namely contouring and volume computation. All the developed algorithms and methods were tested using real data sets. …”
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Common spatial pattern with feature scaling (FSc-CSP) for motor imagery classification
Published 2017“…A spatial filtering algorithm called Common Spatial Pattern (CSP) was developed and known to have excellent performance, especially in motor imagery for BCI application. …”
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A Clustering Algorithm for Evolving Data Streams Using Temporal Spatial Hyper Cube
Published 2023“…To fill this gap, an online clustering algorithm for handling evolving data streams using a tempo?…”
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A cognitive mapping approach in real-time haptic rendering interaction for improved spatial learning ability among autistic people / Kesavan Krishnan
Published 2024“…Meanwhile, experimental evaluation of the application was conducted in four different groups to measure the efficiency and performance of the application; experimental evaluation based on navigation algorithms, experimental evaluation based on haptic sensory sensitivity, experimental evaluation based on real-time haptic rendering interaction and experimental evaluation based on the performance of autistic people with using the application in spatial learning and cognitive mapping. …”
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17
Impact of BPL penalty functions and PSF models in PET/CT radial spatial resolution recovery
Published 2024“…Additionally, different reconstruction algorithms' impact on spatial resolution within PET/CT FOV was assessed using standard deviation calculations and plotting error bars to show spreading of the data around the mean as well as to determine the significant difference between the FWHM measured using different types of reconstruction. …”
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Monograph -
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Workload performance evaluation of large spatial database for DSS based disaster management
Published 2017“…Additionally, the results of the study indicated that the prediction model for workload performance evaluation using CBR that is optimized with Hash Search technique for determining workload data on Shortest Path analysis via the employment of Dijkstra algorithm can be useful for the prediction of incoming workload based on the status of the DBMS parameters. …”
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19
An intelligent system based on kernel methods for crop yield prediction
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TRMM Satellite Algorithm Estimates to Represent the Spatial Distribution of Rainstorms
Published 2016“…These findings suggest that satellite algorithm estimations from TRMM are suitable to represent the spatial distribution of extreme rainfall.…”
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