Výsledky vyhľadávania - spatial algorithm complexity vulnerability

  1. 1

    Analyzing and Discovering Spatial Algorithm Complexity Vulnerabilities in Recursion Autor Wang, Ziqi, Bu, Debao, Tian, Weihan, Cui, Baojiang

    ISSN: 2076-3417, 2076-3417
    Vydavateľské údaje: Basel MDPI AG 01.03.2024
    Vydané v Applied sciences (01.03.2024)
    “… The existing work in the field is dedicated to abstract loop or iterative patterns and fuzzing the entire application to discover algorithm complexity vulnerabilities, but they still face efficiency…”
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    Journal Article
  2. 2

    Machine learning‐based peak ground acceleration models for structural risk assessment using spatial data analysis Autor Saleem, Nadia, Mangalathu, Sujith, Ahmed, Bilal, Jeon, Jong‐Su

    ISSN: 0098-8847, 1096-9845
    Vydavateľské údaje: Bognor Regis Wiley Subscription Services, Inc 01.01.2024
    “…), peak ground velocity, and peak ground displacement at a specific location, is challenging because of the limited number of recorded ground motions and the complexity of ground…”
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    Journal Article
  3. 3

    Disrupting road networks: a case study on the vulnerabilities of the city of Messina Autor Ficara, Annamaria, Celesti, Antonio, Villari, Massimo, Fazio, Maria

    ISSN: 2364-8228, 2364-8228
    Vydavateľské údaje: Cham Springer International Publishing 01.12.2025
    Vydané v Applied network science (01.12.2025)
    “… In this study, we develop a graph model of the road network of Messina (Italy) based on spatial data and filtered to include only roads accessible to motor vehicles…”
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  4. 4

    Investigating socio-ecological vulnerability to climate change via remote sensing and a data-driven ranking algorithm Autor Ikhumhen, Harrison Odion, Fang, Qinhua, Lu, Shanlong, Meilana, Lusita, Raimundo Lopes, Namir Domingos

    ISSN: 0301-4797, 1095-8630, 1095-8630
    Vydavateľské údaje: Elsevier Ltd 01.12.2023
    Vydané v Journal of environmental management (01.12.2023)
    “…The necessity for extensive historical data, variables, and weight determination still presents challenges and complexity, notwithstanding the growth in research on socio-ecological vulnerability to climate change…”
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  5. 5

    Integrated Assessment of Coastal Vulnerability in the Bonny Bay: A Combination of Traditional Methods (Simple and AHP) and Machine Learning Approach Autor Nourdi, Njutapvoui F., Raphael, Onguene, Achab, Mohammed, Loudi, Yap, Rudant, Jean-Paul, Minette, Tomedi E., Kambia, Pouwédéou, Claude, Ntonga Jean, Romaric, Ntchantcho

    ISSN: 1559-2723, 1559-2731
    Vydavateľské údaje: New York Springer US 01.12.2024
    Vydané v Estuaries and coasts (01.12.2024)
    “… This study aims to fill this gap by proposing an integrated approach to coastal vulnerability assessment, combining simple traditional methods, multicriteria AHP…”
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  6. 6

    A Novel Spatial-Aware Fast Traffic Vulnerable Areas Recognition for Urban Road Network Autor Cai, Zhi, Han, Xiao, Lu, Shuaibing, Shi, Meihui, Guo, Limin, Su, Xing

    ISSN: 0018-9545, 1939-9359
    Vydavateľské údaje: New York IEEE 01.03.2025
    “… Existing studies have mainly used mediated centrality methods or algorithms based on link analysis to find critical and vulnerable nodes in road network systems through network centrality methods…”
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    Journal Article
  7. 7

    Entropy Applications in Environmental and Water Engineering Autor Cui, Huijuan, Sivakumar, Bellie, Singh, Vijay P

    ISBN: 9783038972228, 3038972223
    Vydavateľské údaje: MDPI - Multidisciplinary Digital Publishing Institute 2019
    “…Entropy theory has wide applications to a range of problems in the fields of environmental and water engineering, including river hydraulic geometry, fluvial…”
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    E-kniha
  8. 8

    Vulnerability Assessment Tool for Large Radial Distribution System with High Integration of Distributed Energy Resources Autor Ramachandran, Roopa, Hasan, Md Shamim, Kamalasadan, Sukumar

    ISSN: 2576-702X
    Vydavateľské údaje: IEEE 20.10.2024
    “…), sensors, and communication devices. This research develops a simulation-based framework using open-source tools to characterize power system vulnerability to the performance of DER assets…”
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    Konferenčný príspevok..
  9. 9

    An integrated approach combining LISA, BI-LISA, and the modified COPK method to improve groundwater management in large-scale karst areas Autor Li, Yonggang, Li, Minglu, Song, Xiaoqing, Hu, Xiaojing, Guo, Xu, Qiu, Yang, Xiong, Hanxiang, Cui, Hao, Ma, Chuanming

    ISSN: 0022-1694, 1879-2707
    Vydavateľské údaje: Elsevier B.V 01.10.2023
    Vydané v Journal of hydrology (Amsterdam) (01.10.2023)
    “…•The spatial aggregation of groundwater vulnerability has been evaluated.•We used BI-LISA to assess the spatial relationship between vulnerability and nitrate…”
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    Journal Article
  10. 10

    GEOECOLOGICAL MONITORING OF WATER USE RESOURCES BY OBJECTS OF AGRO INDUSTRIAL COMPLEX IN KARST-PRONE TERRITORIES Autor Kuzichkin, Oleg, Romanov, Roman, Vasiliev, Gleb, Surzhik, Dmitry

    ISSN: 1314-2704
    Vydavateľské údaje: Sofia Surveying Geology & Mining Ecology Management (SGEM) 01.01.2020
    “… In these cases, the task is complicated by the difficult hydrogeological conditions of the locality and the high vulnerability of karst groundwater resources to pollution due to their complex hydrogeological structure…”
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    Konferenčný príspevok..
  11. 11

    Modeling impact of Covid-19 pandemic on spatial temporal human mobility Autor Titus-Glover, Leslie

    ISSN: 0957-4174
    Vydavateľské údaje: Elsevier Ltd 01.02.2026
    Vydané v Expert systems with applications (01.02.2026)
    “… Physics-derived and statistical algorithms are utilized for modeling spatial–temporal human mobility…”
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    Journal Article
  12. 12

    Location of Disaster Management Bases Using Spatial Analysis Autor Nayyeri, Hadi, Zandi, Sahar, Souri, Mahmood

    ISSN: 1004-3756, 1861-9576
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2024
    “…Pre-crisis management involves the optimal selection of relief and rescue centers to minimize vulnerability…”
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    Journal Article
  13. 13

    Noncontact full-field spatial-temporal deformation measurement of rockfall prevention structure with deep learning-based optic flow algorithm under complex Environments: Full-scale experiments and field tests Autor Tong, Jiahui, Yang, Xiaoyu, Guo, Qian, Yu, Zhixiang, Tian, Yongding

    ISSN: 0888-3270
    Vydavateľské údaje: Elsevier Ltd 01.07.2025
    “…•A lightweight deep learning-based optical flow method and camera disturbances compensation algorithm was developed…”
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    Journal Article
  14. 14

    Adaptive hybrid architecture for enhancement of the complex hydroclimatic system and assessment of freshwater security Autor Budamala, Venkatesh, Mahindrakar, Amit Baburao

    ISSN: 1464-7141, 1465-1734
    Vydavateľské údaje: London IWA Publishing 01.09.2021
    Vydané v Journal of hydroinformatics (01.09.2021)
    “… The approximation of the HC system faces major uncertainties and complexities due to the incorporation of heavy datasets, characteristics, and constraints…”
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  15. 15

    Climate Adaptation, Drought Susceptibility, and Genomic-Informed Predictions of Future Climate Refugia for the Australian Forest Tree Eucalyptus globulus Autor Butler, Jakob B., Harrison, Peter A., Vaillancourt, René E., Steane, Dorothy A., Tibbits, Josquin F. G., Potts, Brad M.

    ISSN: 1999-4907, 1999-4907
    Vydavateľské údaje: Basel MDPI AG 01.04.2022
    Vydané v Forests (01.04.2022)
    “… Through a genomics approach, we modelled spatial variation in climate adaptation within the Australian temperate forest tree Eucalyptus globulus, identified putative climate drivers of this genomic…”
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    Journal Article
  16. 16

    Explainable Artificial Intelligence (XAI) Model for Earthquake Spatial Probability Assessment in Arabian Peninsula Autor Jena, Ratiranjan, Shanableh, Abdallah, Al-Ruzouq, Rami, Pradhan, Biswajeet, Gibril, Mohamed Barakat A., Khalil, Mohamad Ali, Ghorbanzadeh, Omid, Ganapathy, Ganapathy Pattukandan, Ghamisi, Pedram

    ISSN: 2072-4292, 2072-4292
    Vydavateľské údaje: Basel MDPI AG 24.04.2023
    Vydané v Remote sensing (Basel, Switzerland) (24.04.2023)
    “…), very few have been published on the use of artificial intelligence (AI) in spatial probability assessment (SPA…”
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    Journal Article
  17. 17

    Management and prediction of river flood utilizing optimization approach of artificial intelligence evolutionary algorithms Autor Ikram, Rana Muhammad Adnan, Wang, Mo, Moayedi, Hossein, Dehrashid, Atefeh Ahmadi

    ISSN: 2045-2322, 2045-2322
    Vydavateľské údaje: London Nature Publishing Group UK 02.07.2025
    Vydané v Scientific reports (02.07.2025)
    “… This study evaluates the performance of artificial neural network (ANN) algorithms for FSM using machine learning classification…”
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  18. 18

    A Hybrid Intelligent Model for Urban Seismic Risk Assessment from the Perspective of Possibility and Vulnerability Based on Particle Swarm Optimization Autor Chu, Jinlong, Zhang, Qiang, Wang, Ai, Yu, Haoran

    ISSN: 1058-9244, 1875-919X
    Vydavateľské údaje: New York Hindawi 07.12.2021
    Vydané v Scientific programming (07.12.2021)
    “…, this paper is based on a variety of intelligent algorithms to develop a hybrid intelligent model that integrates probability and vulnerability to evaluate and quantify the difference in the urban…”
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  19. 19

    Prediction of the spatial variability of rainfall- and human-induced landslides in the Bhagirathi Valley of the Indian NW Himalayas using machine learning techniques Autor Gupta, Neha, Das, Josodhir, Kanungo, D. P.

    ISSN: 1866-6280, 1866-6299
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2025
    Vydané v Environmental earth sciences (01.11.2025)
    “… Landslide susceptibility mapping is a prerequisite for vulnerability and risk assessment…”
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    Journal Article
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    Modelling agricultural drought: a review of latest advances in big data technologies Autor Hanadé Houmma, Ismaguil, El Mansouri, Loubna, Gadal, Sébastien, Garba, Maman, Hadria, Rachid

    ISSN: 1947-5705, 1947-5713
    Vydavateľské údaje: Abingdon Taylor & Francis 31.12.2022
    Vydané v Geomatics, natural hazards and risk (31.12.2022)
    “… The study focused mainly on three fundamental aspects, namely descriptive modelling, predictive modelling, and spatial modelling of expected risks and vulnerability to drought…”
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