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Showing 1 - 20 results of 22 for search '(( significant increase tree ) OR ( significantly ((nn decrease) OR (teer decrease)) ))', query time: 0.11s Refine Results
  1. 1

    Estimating Economic and Environmental Benefits of Urban Trees in Desert Regions by Rima J. Isaifan (8350056)

    Published 2020
    “…<p>Trees in urban areas have a significant impact on air quality and other environmental issues. …”
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    How FIFA World Cup 2022™ can meet the carbon neutral commitments and the United Nations 2030 Agenda for Sustainable Development?: Reflections from the tree nursery project in Qatar... by Ioannis Spanos (2086933)

    Published 2023
    “…The assessments were carried out considering different irrigation methods for trees and shrubs, treated sewage water with a significant amount of organic fertilizer, and desalinated water. …”
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    Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar by Amith Khandakar (14151981)

    Published 2019
    “…These countries plan to increase the contribution of power from renewable energy (RE) over the years. …”
  9. 9

    Total and segmental liver volume variations by Abdalla, Eddie

    Published 2015
    “…Discussion There is clinically significant interpatient variation in hepatic volumes. …”
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  10. 10

    Activation of Src kinase in primary colorectal carcinoma An indicator of poor clinical prognosis by Allgayer, Heike

    Published 2002
    “…RESULTS By CART analysis, Src activity in tumors elevated more than twofold over normal mucosa was significant. Increased Src activity significantly correlated with Dukes stage, pT and pN classification, and increased u-PAR levels (P < 0.001). …”
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    A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti (21593819)

    Published 2025
    “…The global concern associated with ASD diagnosis is increasing at a rapid rate due to its significant impact on quality of life. …”
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    Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy by Yahya, Fares

    Published 2024
    “…The power spectral density shows a significant increase with time-in-mission across all participants in most of the frontal area. …”
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  15. 15

    Just-in-time defect prediction for mobile applications: using shallow or deep learning? by Raymon van Dinter (10521952)

    Published 2023
    “…Experimental results demonstrated that DL algorithms leveraging sampling methods perform significantly worse than the decision tree-based ensemble method. …”
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    Enhancing human thermal comfort in hot arid cities: A systematic review of urban heat island observations and mitigation strategies by Omer Abedrabboh (17346847)

    Published 2025
    “…These areas, characterized by extreme heat and drought, face increased outdoor thermal discomfort and high energy demands for cooling. …”
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    Photovoltaic Facades: Key to the Concept of Zero Energy Buildings by KAMPADAM, MATHEW GEORGE

    Published 2021
    “…Tilted façade: Good idea to increase yield while paying attention to overheating  ii. …”
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    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

    Published 2022
    “…In the next phase, an IRF eliminates the less significant attributes, incorporates a list of decision trees across each iterative process, supervises the classifier’s performance, and prevents overfitting issues. …”
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    A Novel Versatile Framework for Enabling Early Detection of Evolving Network-based Cyberattacks by THOMAS, RAJESH

    Published 2025
    “…Network-based cyber-attacks have been increasing in scale, frequency and sophistication, posing significant threats to nation states and organizations worldwide. …”
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    Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic by Hassan Farhat (9000509)

    Published 2025
    “…<h3>Background</h3><p dir="ltr">During the COVID-19 pandemic, there was a surge in pre-hospital emergency calls due to the increased prevalence of flu-like symptoms and panic related to the pandemic. …”