Search alternatives:
larger » large (Expand Search)
decrease » increase (Expand Search)
Showing 1 - 20 results of 86 for search '(( significant spatial based ) OR ( significant ((larger decrease) OR (largest decrease)) ))', query time: 0.11s Refine Results
  1. 1
  2. 2
  3. 3

    Seasonal and spatial variations in concentration, diversity, and antibiotic resistance of ambient bioaerosols in an arid region by Bilal Sajjad (17017749)

    Published 2024
    “…Air samples were collected using a sampler from ten geographically or functionally distinct locations during a period of one year. Spatial and seasonal variations significantly impacted microbial concentrations, with the highest average concentrations observed at 514 ± 77 CFU/m<sup>3</sup> for bacteria over the dry-hot summer season and 134 ± 31 CFU/m<sup>3</sup> for fungi over the mild winter season. …”
  4. 4

    A Preliminary Assessment of Global CO<sub>2</sub>: Spatial Patterns, Temporal Trends, and Policy Implications by Ahmed M. EI Kenawy (17746944)

    Published 2023
    “…The analysis differentiated the effects of these components based on countries' economic standings. Using a novel aggregated index, significant national contributors to global CO<sub>2</sub> emissions are pinpointed. …”
  5. 5

    Evaluating the impact of the COVID-19 pandemic on the geospatial distribution of buildings' carbon footprints associated with electricity consumption by Esmat, Zaidan

    Published 2024
    “…The carbon footprint (CF) linked to electricity consumption in buildings has become a significant environmental issue because of its significant role in greenhouse gas emissions. …”
    Get full text
    Get full text
    Get full text
    article
  6. 6

    Spatial modelling of contribution of individual level risk factors for mortality from Middle East respiratory syndrome coronavirus in the Arabian Peninsula by Oyelola A. Adegboye (4287826)

    Published 2017
    “…Health-care workers were significantly less likely to die from the disease compared with non-health workers [OR = 0.372, 95% CI: 0.151, 0.827]. …”
  7. 7
  8. 8
  9. 9
  10. 10

    Evaluating the impact of the COVID-19 pandemic on the geospatial distribution of buildings' carbon footprints associated with electricity consumption by Esmat Zaidan (16855203)

    Published 2024
    “…<p>The carbon footprint (CF) linked to electricity consumption in buildings has become a significant environmental issue because of its significant role in greenhouse gas emissions. …”
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15

    Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment by Ikhlas Ghiat (16932564)

    Published 2023
    “…These predictive models assimilate microclimate, physiological and hyperspectral features with high temporal and spatial resolutions. The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …”
  16. 16

    Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods by Jayakanth, Kunhoth

    Published 2023
    “…Moreover, a deep analysis of different characteristics (kinematic, dynamic, temporal, spatial, etc.) of online handwriting is conducted to examine their significance in distinguishing normal and abnormal handwritten data. …”
    Get full text
    Get full text
    Get full text
    article
  17. 17

    Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods by Jayakanth Kunhoth (14158908)

    Published 2023
    “…Moreover, a deep analysis of different characteristics (kinematic, dynamic, temporal, spatial, etc.) of online handwriting is conducted to examine their significance in distinguishing normal and abnormal handwritten data. …”
  18. 18
  19. 19

    Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection by Sulaiman Khan (12585349)

    Published 2023
    “…For the categorization of spatial data, AlexNet is utilized, whereas Inception V-4 is employed for temporal data (environment monitoring). …”
  20. 20

    Could Petrol Stations Play a Key Role in Transportation Electrification? A GIS-Based Coverage Maximization of Fast EV Chargers in Urban Environment by Safak Bayram (16925975)

    Published 2022
    “…More specifically, the location problem is modelled as a maximum coverage location problem (MCLP) and solved using a geographic information system (GIS) based platform. The spatial optimization problem is solved using a linear-programming relaxation based MCLP algorithm developed in Python. …”