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Showing 1 - 20 results of 1,490 for search '(( greater decrease ) OR ((( (trees OR (need OR deep)) increase ) OR ( peer decrease ))))*', query time: 0.14s Refine Results
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    Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) by Khaled F. Alkaraki (22051967)

    Published 2024
    “…This study aimed to model past, present, and future LULCC on Land Surface Temperatures in the Greater Amman Municipality (GAM) in Jordan between 1980 and 2030. …”
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    Emergency ultrasound training needs review by Nature Research (16552612)

    Published 2017
    “…Also, as their level of confidence in their diagnoses increased, their accuracy was found to improve.</p><p>“These points along with the different thresholds for accuracy between right upper quadrant and abdominal aorta [scans] show that the number of scans needed to reach competency may be variable dependent on the specific ultrasound application,” write the researchers. …”
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    Estimating Economic and Environmental Benefits of Urban Trees in Desert Regions by Rima J. Isaifan (8350056)

    Published 2020
    “…In addition, trees have other benefits including increasing property value, intercepting storm water runoff and saving energy needed for cooling of buildings in hot seasons. …”
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    A comparison of peer, teacher and self-feedback on the reduction of language errors in student essays by Diab, Nuwar Mawlawi

    Published 2016
    “…However, comparison of students' performance on lexical errors at the immediate post-test revealed that the self-feedback group significantly decreased this error percentage compared to the peer feedback group. …”
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    An Efficient Network-on-Chip Architecture Based on the Fat-Tree (FT) Topology by Bouhraoua, A.

    Published 2006
    “…The adopted topology increases performance without a substantial increase in the routing cost. …”
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    Coalition game theoretic P2P trading in a distribution network integrity-ensured local energy market by M., Imran Azim

    Published 2023
    “…This paper presents a peer-to-peer (P2P) trading-enabled local energy market (LEM) mechanism and analyses it in the Australian market context to verify its feasibility. …”
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    Customers' need for uniqueness theory versus brand congruence theory by Abosag, Ibrahim

    Published 2019
    “…Social media brands may experience a lack of competitiveness and attraction due to the silent negative increase of customers' need for uniqueness (NFU). This is the result of a tension between the theory of brand congruence, that most brands endeavor to establish with their customers, and the theory of consumers' NFU, that many consumers aim to fulfill, that has not been previously examined. …”
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    Meeting the need for online learning at the HCT: Investigating alternatives to BBVista by Al Mansoori, Aamna Esmaeel

    Published 2011
    “…This implies the need for flexibility, allowing for individual preferences and experience with ICT, but also the need for a set of overarching values, to respond to the changing role of the institution as a provider of information and the shift, for educators, from sources of knowledge to facilitators of collaborative information management. …”
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    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark by Ameema Zainab (16864263)

    Published 2021
    “…However, with the huge increase in data size, sophisticated models have to be created which require big data platforms. …”
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    Potential of horizontal louvers in increased energy savings in a commercial building in Dubai by BORDAWEKAR, SANIYA

    Published 2018
    “…Building façade contributes to a major share of energy expenditure in residential as well as commercial buildings. There is a need to look for alternate options of façade design, in order to replace the glazing option contributing to greenhouse gases and global warming. …”
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    Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization by Yassine Himeur (14158821)

    Published 2023
    “…However, they might not perform as expected, take much time in training, or not have enough input data to generalize well. To that end, deep transfer learning (DTL) and deep domain adaptation (DDA) have recently been proposed as promising solutions to alleviate these issues. …”
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