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  1. 1
    Y-type Random 2-satisfiability In Discrete Hopfield Neural Network

    Y-type Random 2-satisfiability In Discrete Hopfield Neural Network by Guo, Yueling

    Published 2024
    “…During the retrieval phase, a new activation function and Swarm Mutation were proposed to ensure the diversity of the neuron states. The proposed algorithm and mutation mechanism showed optimal performances as compared to the existing algorithms. …”
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  2. 2
    Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets

    Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets by Saeed, Sana

    Published 2019
    “…A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization. …”
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  3. 3
    Seed disperser ant algorithm for optimization / Chang Wen Liang

    Seed disperser ant algorithm for optimization / Chang Wen Liang by Chang , Wen Liang

    Published 2018
    “…The Seed Disperser Ant Algorithm (SDAA) is developed based on the evolution or expansion process of Seed Disperser Ant (Aphaenogaster senilis) colony. …”
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  4. 4
    Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments

    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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  5. 5
    Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments

    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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  6. 6
    Compacted dither pattern codes over MPEG-7 dominant colour descriptor in video visual depiction

    Compacted dither pattern codes over MPEG-7 dominant colour descriptor in video visual depiction by Ranathunga, L., Zainuddin, R., Abdullah, N.A.

    Published 2010
    “…Visual description experiments were conducted for ten irregular shapes-based visual concepts in videos with three setups namely CDPC with Bhattacharyya classifier, DCD without spatial coherency and DCD with spatial coherency. …”
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  7. 7
    Application of terrain analysis to the mapping and spatial pattern analysis of subsurface geological fractures of Kuala Lumpur limestone bedrock, Malaysia.

    Application of terrain analysis to the mapping and spatial pattern analysis of subsurface geological fractures of Kuala Lumpur limestone bedrock, Malaysia. by Mansor, Shattri, Mahmud, Ahmad Rodzi, Kim Huat, Bujang, Elmahdy, Samy Ismail

    Published 2012
    “…Unlike wavelet analysis and the Fourier transform, which use optical remote-sensing images, the integration of visual interpretation and a topographical fabric algorithm is capable of the extraction and spatial correlation of subsurface geological fractures. …”
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  8. 8
    Pixel value differencing steganography techniques: Analysis and open challenge

    Pixel value differencing steganography techniques: Analysis and open challenge by Hussain, Mehdi, Wahab, Ainuddin Wahid Abdul, Anuar, Nor Badrul, Salleh, Rosli, Noor, Rafidah Md

    Published 2015
    “…Image steganography is majorly divided into spatial and frequency domains. Pixel value differencing (PVD) considered as good steganographic algorithm due to its high payload and good visual perception in spatial domain. …”
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  9. 9
    Classification with degree of importance of attributes for stock market data mining

    Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

    Published 2004
    “…The experimental results show that predictive FDT algorithm can generate a relatively optimal tree without much computation effort (comprehensibility), and WFPRs have a better predictive accuracy of stock market time series data. …”
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  10. 10
    Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes

    Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes by Shariah, Sawsan Kamel

    Published 2012
    “…Dynamic weather elements such as rain cause complex visual appearance, because rain consists of spatially distributed drops falling at high velocities. …”
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  11. 11
    Hybrid Region Merging For Image Segmentation Using Optimal Global Feature With Global Merging Criterion Approach

    Hybrid Region Merging For Image Segmentation Using Optimal Global Feature With Global Merging Criterion Approach by Vadiveloo, Mogana

    Published 2020
    “…Region merging approach is used to reduce over segmented regions produced by region-based image segmentation algorithms. …”
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  12. 12
    Development of saliency metric for autonomous landmark selection in cognitive robot navigation / Gao Hanyang

    Development of saliency metric for autonomous landmark selection in cognitive robot navigation / Gao Hanyang by Gao , Hanyang

    Published 2022
    “…Urban landmarks are spatial features that are visually significant in the neighbourhood. …”
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  13. 13
    Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul

    Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul by Tom´As, Maul

    Published 2006
    “…The current thesis is concerned with how biological systems solve the computational problem of visual pose estimation. Four levels of analysis are traversed in order of decreasing abstraction: computational, algorithmic, implementational and formational. …”
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  14. 14
    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning

    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning by Safa, Soodabeh

    Published 2016
    “…Beside that, classic bag of visual words algorithm (BoVW) is based on kmeans clustering and every SIFT feature belongs to one cluster and it leads to decreasing classification results. …”
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  15. 15
    A hybrid spiking neural network model for multivariate data classification and visualization.

    A hybrid spiking neural network model for multivariate data classification and visualization. by Ming, Leong Yii, Teh, Chee Siong, Chen, Chwen Jen

    Published 2011
    “…This study proposes a hybrid model of Self-Organizing Map with modified adaptive coordinates (SOM-AC) and Spiking Neural Network (SNN) for multivariate spatial and temporal data visualization and classification. …”
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    Proceeding
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  16. 16
    EEG-based brain source localization using visual stimuli

    EEG-based brain source localization using visual stimuli by Jatoi, M.A., Kamel, N., Malik, A.S., Faye, I., Bornot, J.M., Begum, T.

    Published 2016
    “…According to the spatial resolution provided, the algorithms are categorized as either low resolution methods or high resolution methods. …”
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  17. 17
    The comparison of interactive 3D visualization between static and animated approaches for learning binary tree topic / Mohd Zulhisam Yaakub

    The comparison of interactive 3D visualization between static and animated approaches for learning binary tree topic / Mohd Zulhisam Yaakub by Yaakub, Mohd Zulhisam

    Published 2016
    “…This shows that both 3D visualization methods implemented in this study can increase the student learning achievements and spatial abilities. …”
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  18. 18
    Kernerlized Correlation Filters Parameters Optimization For Enhanced Visual Tracking

    Kernerlized Correlation Filters Parameters Optimization For Enhanced Visual Tracking by Ong, Chor Keat

    Published 2017
    “…In this research, the tracking is proposed by using the overlap ratio (OR) and centre location error (CLE). …”
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    Monograph
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  19. 19
    Spatial analysis of infant mortality in Peninsular Malaysia over three decades using mixture models

    Spatial analysis of infant mortality in Peninsular Malaysia over three decades using mixture models by Nuzlinda Abdul Rahman, Abdul Aziz Jemain

    Published 2013
    “…The results obtained were visually presented in maps. The analysis showed that in the early year of 1970, the spatial heterogeneity effect was more prominent; however, towards the end of 1990, this pattern tended to disappear. …”
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  20. 20
    An analysis of image quality assessment algorithm to detect the presence of unnatural contrast enhancement

    An analysis of image quality assessment algorithm to detect the presence of unnatural contrast enhancement by Ismail, Nur Halilah, Chen, Soong Der, Ng, Liang Shing, Ramli, Abd Rahman

    Published 2016
    “…Basically, the IQA used produced quality rating of the image while consistently with human visual perception. …”
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