Search Results - (( java implication based algorithm ) OR ( disaster information based algorithm ))

Refine Results
  1. 1

    A Hybrid K-Means Hierarchical Algorithm for Natural Disaster Mitigation Clustering by Prasetyadi, Abdurrakhman, Nugroho, Budi, Tohari, Adrin

    Published 2022
    “…This study also added keyword and disaster-type fields to provide additional information for a better clustering process. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  2. 2
  3. 3
  4. 4

    Analysing machine learning models to detect disaster events using social media by Faris Azni Azlan, Mr.

    Published 2023
    “…During disasters, people communicate to inform and request for support for themselves or their community. …”
    text::Thesis
  5. 5
  6. 6

    Workload performance evaluation of large spatial database for DSS based disaster management by Rohman, Muhammad Syaifur

    Published 2017
    “…In this way, information is delivered to DBMS hence ensuring incoming workload information is very crucial for the purpose of determining the smooth works of PostgreSQL DBMS.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  7. 7

    Flood management system: geo based information and monitoring module by Lim, Soo Yi

    Published 2025
    “…This project introduces FloodGuard, which a comprehensive flood management system application to address the existing gaps and enhance real-time disaster response. One of the key novel features is the implementation of an automated relief center assignment algorithm, which dynamically assigns the user to a nearby relief center based on the risk assessment, proximity and capacity rather than manually searching for relevant centers. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  8. 8

    Comparison between pixel-based and object based classifications using radar satellite image in extracting massive flood extent at northern region of Peninsular Malaysia by Abd Manaf, Syaifulnizam, Mustapha, Norwati, Mohd Shafri, Helmi Zulhaidi, Sulaiman, Md. Nasir, Husin, Nor Azura

    Published 2015
    “…TerraSAR-X image was used to map the flood extent of the study area. In object-based approach, there were three simple machine learning algorithms such as PP, MD, MH together with NN performed with high accuracy while in pixel based approach, NN was the highest accuracy of all machine learning algorithms. …”
    Get full text
    Get full text
    Conference or Workshop Item
  9. 9

    Comparison between pixel-based and object-based classifications using radar satellite image in extracting massive flood extent at northern region of Peninsular Malaysia by Abd Manaf, Syaifulnizam, Mustapha, Norwati, Mohd Shafri, Helmi Zulhaidi, Sulaiman, Md Nasir, Husin, Nor Azura

    Published 2015
    “…TerraSAR-X image was used to map the flood extent of the study area. In object-based approach, there were three simple machine learning algorithms such as PP, MD, MH together with NN performed with high accuracy while in pixel based approach, NN was the highest accuracy of all machine learning algorithms. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  10. 10

    Development of IoT-based automated dynamic emergency response system against fire incidents in academic building by Al-Hady, Syed Mohammed Zakaria, Islam, Md Rafiqul, Rashid, Muhammad Mahbubur

    Published 2023
    “…By leveraging the power of IoT technology, machine learning algorithms and BIM, the proposed system aims to reduce the impact of fire disasters by providing accurate and timely information, route optimization and facilitating effective evacuation and rescue efforts. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  11. 11
  12. 12

    Google the earth: what's next? by Mansor, Shattri

    Published 2010
    “…Over the last half-century, we have built a sophisticated network of satellites, aircraft, and ground-based remote sensing systems to provide raw information from which we derive and improve our knowledge of the Earth and its phenomena. …”
    Get full text
    Get full text
    Get full text
    Inaugural Lecture
  13. 13

    Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification by Petwan, Montha

    Published 2023
    “…The performance of FESSIC was evaluated against ten benchmark image classification algorithms and six classifiers on four ground-based sky image datasets. …”
    Get full text
    Get full text
    Get full text
    Thesis
  14. 14

    Tree-based machine learning in classifying reverse migration/ Azreen Anuar, Nur Huzeima Mohd Hussain and Hugh Byrd by Anuar, Azreen, Mohd Hussain, Nur Huzeima, Byrd, Hugh

    Published 2023
    “…The findings revealed that tree-based machine learning algorithms performed slightly better than linear-based algorithms in terms of accuracy of prediction, with an improvement of approximately 1%. …”
    Get full text
    Get full text
    Get full text
    Article
  15. 15

    Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks by Han, Fengrong

    Published 2022
    “…With the high-speed development of wireless radio technology, numerous sensor nodes are integrated into wireless sensor networks, which has promoted plentiful location-based applications that are successfully applied in various fields, such as monitoring natural disasters and post-disaster rescue. …”
    Get full text
    Get full text
    Thesis
  16. 16
  17. 17
  18. 18
  19. 19

    Application of Machine Learning and Deep Learning Algorithms for Landslide Susceptibility Assessment in Landslide Prone Himalayan Region by Bhattacharya S., Ali T., Chakravortti S., Pal T., Majee B.K., Mondal A., Pande C.B., Bilal M., Rahman M.T., Chakrabortty R.

    Published 2025
    “…These findings are valuable for local government efforts in disaster prevention and mitigation, particularly in the Chamoli District of Uttarakhand, where Geographical Information System (GIS)-based susceptibility mapping plays a critical role in identifying vulnerable areas. …”
    Article
  20. 20