Search Results - (( development a spatial algorithm ) OR ( java implication based algorithm ))
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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“…This work proposes a new spatial decision tree algorithm namely the extended spatial ID3 decision tree algorithm to classify hotspots occurrence from a forest fires dataset that contains point, line and polygon features. …”
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Thesis -
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Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State
Published 2022“…Furthermore, a hybrid Spatial-Artificial Intelligence (AI) algorithm is proposed to integrate RES sites with minimum total distance and minimum total elevation difference. …”
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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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A decision tree based on spatial relationships for predicting hotspots in peatlands
Published 2014“…This work applied a spatial decision tree algorithm on spatial data of forest fires. …”
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The design and implementation of a two and three-dimensional triangular irregular network based GIS
Published 2000“…To facilitate the output of the developed methods and algorithms, software called TinSoft, which is a Windows-based Multiple Document Interface software was developed in this research.…”
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Investigations On Human Perceptual Maps Using A Stereo-Vision Mobile Robot
Published 2018“…A number of computational mapping algorithms are then employed to build a human perceptual map of the environment in this research. …”
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A Clustering Algorithm for Evolving Data Streams Using Temporal Spatial Hyper Cube
Published 2023“…spatial hyper cube called BOCEDS TSHC has been developed in this research. …”
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Common spatial pattern with feature scaling (FSc-CSP) for motor imagery classification
Published 2017“…Previously, to extract useful information, various filters are introduced, such as spatial, temporal, and spectral filtering. 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 cognitive mapping approach in real-time haptic rendering interaction for improved spatial learning ability among autistic people / Kesavan Krishnan
Published 2024“…This research also aims to present a reliable autonomous algorithm that minimizes the issues with localization and navigation skills among autistic people in a HBVE to improve their wayfinding and spatial knowledge. …”
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Quantitative analysis evaluation of image reconstruction algorithms between digital and analog PET-CT
Published 2023“…A novel algorithm, HYPER DPR (developed by United Imaging Healthcare) is an artificial intelligence-based reconstruction method that aims to provide increased sensitivity, higher spatial resolution and less noise. …”
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GIS-based air quality modelling: spatial prediction of PM10 for Selangor State, Malaysia using machine learning algorithms
Published 2021“…Although some studies have predicted air pollutants such as particulate matter (PM) using machine learning algorithms (MLAs), there is a paucity of studies on spatial hazard assessment with respect to the air quality index (AQI). …”
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Analysis of parabolic antennas for radio telescopes and the development of encryption methods for radio astronomical images
Published 2022“…The results showed that this algorithm has better performance compared to other recently developed algorithms. …”
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Final Year Project / Dissertation / Thesis -
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EEG EYE STATE IDENTIFICATION BASED ON STATISTICAL FEATURES AND COMMON SPATIAL PATTERN
Published 2019“…Hence, the proposed work aimed to analyse the EEG eye state signal as well as develop an algorithm using statistical-CSP features on the eye state identification.…”
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Not seeing the forest for the trees: Generalised linear model out-performs random forest in species distribution modelling for Southeast Asian felids
Published 2023“…The latter is a machine learning non-parametric algorithm, more tolerant than other approaches in its assumptions, which has often been shown to outperform parametric algorithms. …”
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Development of mesoscopic imaging system for surface inspection / Moe Win
Published 2018“…For the automatic inspection, defect detection algorithms based on image thresholding are developed and implemented as a statistical approach to identify possible defects. …”
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An intelligent system based on kernel methods for crop yield prediction
Published 2006“…For this purpose, a robust weighted kernel k-means algorithm incorporating spatial constraints is presented. …”
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Conference or Workshop Item
