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Performance evaluation of real-time multiprocessor scheduling algorithms
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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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Extended spatial decision tree algorithm for classifying hotspot occurrence
Published 2013“…The proposed algorithm uses spatial information gain to choose the best splitting layer from a set of explanatory layers. …”
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5
Clustering Spatial Data Using a Kernel-Based Algorithm
Published 2005“…The proposed algorithm can effectively handle noise, outliers and auto-correlation in the spatial data. …”
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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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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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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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14
SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION OF THE 582-BAR SPATIAL TRUSS STRUCTURE
Published 2023“…As a well-known and large-scale structure, the 582-bar spatial truss structure was analyzed using the finite element method, and optimization processes were implemented using MATLAB. …”
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Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State
Published 2022“…It is followed by identifying RES sites using spatial data and Multi-Criteria Decision Making-Analytical Hierarchy Process (MCDM-AHP) algorithm. …”
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A decision tree based on spatial relationships for predicting hotspots in peatlands
Published 2014“…The spatial tree has produces higher accuracy than the non-spatial trees that were created using the ID3 and C4.5 algorithm. …”
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Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields
Published 2013“…In this paper, we consider the problem of predicting a large scale spatial field using successive noisy measurements obtained by mobile sensing agents. …”
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Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields
Published 2013“…In this paper, we consider the problem of predicting a large scale spatial field using successive noisy measurements obtained by mobile sensing agents. …”
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Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields
Published 2013“…In this paper, we consider the problem of predicting a large scale spatial field using successive noisy measurements obtained by mobile sensing agents. …”
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Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields
Published 2013“…In this paper, we consider the problem of predicting a large scale spatial field using successive noisy measurements obtained by mobile sensing agents. …”
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