Search Results - spatial information using detection framework

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  1. 1

    VS-BIM: a cognitive map-driven framework enhancing MLLM for automatic safety inspection in construction by Wang, Lei, Liu, Yu, Wang, Cunrui, An, Hongda, Li, Yiting

    Published 2026
    “…Results demonstrate VS-BIM excels in 3D object detection, achieves near-human spatial reasoning, and surpasses human averages in spatial estimation. …”
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  2. 2

    Formal specification for spatial information databases integration framework (SIDIF) by Julaily Aida, Jusoh, Mustafa, Man, Mohd Shafry, Mohd Rahim, Mohammad, Zaidi

    Published 2011
    “…This paper discusses the formal validation for spatial information databases integration framework (SIDIF). …”
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  3. 3

    Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs by Harandi, Bahareh Kalantar Ghorashi

    Published 2017
    “…In the past, MOD was mainly tackled using image registration, which discovers correspondences between consecutive frames using pair-wise grayscale spatial visual appearance matching under rigid and affine transformations. …”
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    Thesis
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    GIS Smart Mapping Technique For Urban Spatial Pattern Analysis - A Case Study On Nibong Tebal Sub-District by Ahmad, Ramlah

    Published 2005
    “…In conclusion, this research provides useful results in demonstrating a process of integrating information derived from satellite imagery with other spatial data in land use change detection study.…”
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  6. 6

    Deep learning approach for automated geospatial data collection by Al-Azizi, Jalal Ibrahim

    Published 2020
    “…Geospatial data collection and mapping are considered to be one of the key tasks for many users of spatial information. Traditionally, data collection and mapping can be done using a variety of methods, such as mobile mapping, remote sensing and conventional survey methods. …”
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  7. 7

    Large-scale detection, mapping, and initial health assessment of date palm trees using multiplatform remotely-sensed data and deep learning techniques by Gibril, Mohamed Barakat Abdelfatah

    Published 2023
    “…The proposed framework also exhibits great generalizability in detecting and mapping individual date palm trees from different UAV images with diverse spatial resolutions. …”
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  8. 8

    Smile detection using hybrid face representation by Arigbabu, Olasimbo Ayodeji, Mahmood, Saif, Syed Ahmad Abdul Rahman, Sharifah Mumtazah, Arigbabu, Abayomi A.

    Published 2016
    “…Based on our findings, the proposed framework provides very competitive detection rate to related approaches that have exploited image alignment as an important stage for improving performance of smile detection.…”
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  9. 9

    Efficient NASNetMobile-enhanced Vision Transformer for weakly supervised video anomaly detection by Arif Mohamad, Muhammad Luqman, Abd Rahman, Mohd Amiruddin, Mohd Shah, Nurisya, Kumar Sangaiah, Arun

    Published 2026
    “…This research presents NASNetMobile–EViT, a lightweight framework that addresses both the computational burden and the contextual information deficiency that hinder weakly supervised anomaly detection. …”
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  10. 10

    Terrain awareness mobility model to support outdoor mobility for people with vision impairment by Yousef, Malkawi Abeer Dirar

    Published 2023
    “…In addition to the lack of spatial information provided, which is mostly limited to vibration or audio signals. …”
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  11. 11

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

    Published 2021
    “…There is no imaging involved, but the laser sensor does record depth information. The spatial openings are derived by analyzing occlusion information from the environment, which is available from the depth information. …”
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    Particle swarm optimization with deep learning for human action recognition by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

    Published 2021
    “…Motion target detection and tracking are among the most important computer vision areas that use advanced image processing techniques. …”
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  14. 14

    Image steganography: comparative analysis of their techniques, complexity and enhancements by Abd Aziz, Ahmad Zulfakar, Mohd Sultan, Muhammad Fitri, Mohamad Zulkufli, Nurul Liyana

    Published 2024
    “…This research project focuses on image steganography techniques that are used to evade detection of the secret message through statistical steganalysis techniques. …”
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  15. 15

    Computed tomography and echocardiography image fusion technique for cardiac images by Kalahroodi, Samaneh Mazaheri

    Published 2016
    “…The goal of this thesis is integrating detected features, segmentation result information, and intensity information from two mentioned images, into a non-rigid registration framework, and achieve a high quality spatial mapping. …”
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    Development of geospatial model for tuberculosis prediction in Gombak, Selangor, Malaysia by Mohidem, Nur Adibah

    Published 2021
    “…Conclusion: This study identified the spatial variability in the association between risk factors and TB cases, and visualized the high risk areas using a user-friendly web mapping application, which helps in improving case detection and targeted surveillance. …”
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  18. 18

    Framework for stream clustering of trajectories based on temporal micro clustering technique by Abdulrazzaq, Musaab Riyadh

    Published 2018
    “…The proposed functions for the offline phase are the detection of spatial and spatiotemporal outliers and the macro clustering. …”
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  19. 19

    Development Of Stereo-Matching Algorithm Based On Adaptive Weighted Prediction by Abd Razak, Siti Safwana

    Published 2019
    “…Other than that, wrong information of each pixel of disparity map which can affect the accuracy of SVDM. …”
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  20. 20

    Analyzing Burglary Dynamics through Land Use in Selangor, Kuala Lumpur, and Putrajaya : A Space-Time EHSA Approach by Azizul, Ahmad, Tarmiji, Masron, Syahrul Nizam, Junaini, Mohd Azizul Hafiz, Jamian, Mohamad Hardyman, Barawi, Yoshinari, Kimura, Norita, Jubit, Ruslan, Rainis

    Published 2025
    “…The results reveal a nuanced spatial clustering of burglary incidents that is significantly influenced by varied land use types—ranging from residential and industrial zones to open spaces—thereby enhancing the granularity of hotspot detection and offering empirical insights into the temporal evolution of crime patterns. …”
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