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  1. 1

    Classification model for hotspot occurrences using spatial decision tree algorithm by Sitanggang, Imas Sukaesih, Yaakob, Razali, Mustapha, Norwati, Nuruddin, Ahmad Ainuddin

    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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    Article
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    Spatial Clustering Algorithm for Time Series Rainfall Data Using X-Means Data Splitting by Ali, Noor Rasidah, Ku Mahamud, Ku Ruhana

    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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  4. 4

    Investigations On Human Perceptual Maps Using A Stereo-Vision Mobile Robot by Eng, Swee Kheng

    Published 2018
    “…It is shown that both vision-based and the laser-based systems are able to computer a reasonably accurate spatial geometry of the tested environment.…”
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    Thesis
  5. 5

    Task-state EEG feature extraction for spatial cognition analysis: a power spectral density and permutation conditional mutual information approach by Liu, Yijun, Mustafa, Mohd Shafie, Saripan, M Iqbal, Kamel Ariffin, Muhammad Rezal, Wan, Xianglong, Dong, Xianling, Lan, Xifa, Wen, Dong

    Published 2025
    “…In this study, the performance of the PSDPCMI algorithm was employed for a VR spatial cognitive training experiment based on a Virtual Community training game and a Virtual City Walking testing game as carriers for subjects’ training and evaluation. …”
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  6. 6

    Modeling forest fires risk using spatial decision tree by Yaakob, Razali, Mustapha, Norwati, Nuruddin, Ahmad Ainuddin, Sitanggang, Imas Sukaesih

    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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    Conference or Workshop Item
  7. 7

    The design and implementation of a two and three-dimensional triangular irregular network based GIS by Abdul Rahman, Alias

    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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    Thesis
  8. 8

    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

    Published 2018
    “…Therefore, this was not incorporated in BBN models. Based on cross-validation analysis, the score-based algorithm outperformed the constraint-based algorithms in the structural learning. …”
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    Thesis
  9. 9

    Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments by Gadipudi, N., Elamvazuthi, I., Lu, C.-K., Paramasivam, S., Su, S.

    Published 2022
    “…Traditional visual odometry algorithms require the careful fabrication of state-of-the-art building blocks based on geometry. …”
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    Article
  10. 10

    Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments by Gadipudi, N., Elamvazuthi, I., Lu, C.-K., Paramasivam, S., Su, S.

    Published 2022
    “…Traditional visual odometry algorithms require the careful fabrication of state-of-the-art building blocks based on geometry. …”
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    Article
  11. 11

    Testing the minimal bounded space method on vision-based drone navigation / Yap Seng Kuang by Yap , Seng Kuang

    Published 2021
    “…Recently, the availability of the deep learning algorithm also encourages the object-based approach for drone navigation. …”
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    Real-time interactive spatial augmented reality (RISAR) platform by Chan, Aye Zay Hta

    Published 2022
    “…The main contributions of this Real-time Interactive Spatial Augmented Reality (RISAR) platform include (i) an algorithm that supports real-time physical structure reconstruction using Lego blocks and projection mapping, and (ii) a design of a SAR platform with low-cost and easily accessible hardware and software. …”
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    Thesis
  15. 15

    Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification by Myaser, Jwan

    Published 2020
    “…The second stage involved assessing the spatial resolution effect through utilizing Landsat 8 (30 m) and Sentinel (10 m) data on LCM accuracy using SVM, K-Nearest Neighbor (K-NN), Random Forest (RF), and Neural Network (NN) algorithms. …”
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  16. 16

    Compact Convolutional neural network (CNN) based on SincNet for end-to-end motor imagery decoding and analysis by Ahmad Izzuddin, Tarmizi, Mat Safri, Norlaili, Othman, Mohd Afzan

    Published 2021
    “…This paper presents an improved and compact CNN algorithm for motor imagery decoding based on the adaptation of SincNet, which was initially developed for speaker recognition task from the raw audio input. …”
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    Article
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    An Adaptive Switching Cooperative Source Searching And Tracing Algorithms For Underwater Acoustic Source Localization by Majid, Mad Helmi Ab.

    Published 2019
    “…To adaptively switches between the two algorithms, an adaptive switching algorithm based on a Generalized Likelihood Ratio Test (GLRT) is proposed. …”
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    Thesis
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    Development of mesoscopic imaging system for surface inspection / Moe Win by Moe , Win

    Published 2018
    “…Existing thresholding-based and clustering-based methods are tested and compared to achieve faster and more efficient algorithms. …”
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    Thesis
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    Video distortion measurement using psnr in wavelet domain by Mok, Y.L

    Published 2010
    “…The distortion measurement is based on videos in wavelet domain. The test videos used in the project are test videos provided by Laboratory for Image and Video Engineering (LIVE) video database. 2D Cohen-Daubechies-Feauveau (CDF) 9/7 wavelet is applied to the video frames. …”
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    Final Year Project Report / IMRAD
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    Predicting saliency existence using reduced salient features based on compactness and boundary cues by Nadzri, Nur Zulaikhah

    Published 2020
    “…The image background is measured based on the boundary contrast and boundary spatial distribution within the spatial and the frequency domain. …”
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    Thesis