Showing 121 - 140 results of 303 for search '(( greater decrease ) OR ((( ((ties OR lies) OR trees) increase ) OR ( peer decrease ))))*', query time: 0.12s Refine Results
  1. 121

    Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis by George Nitzburg (18614989)

    Published 2019
    “…Second, we examined symptom queries preceding queries on the 12-step program at time lags of 0-7 days, 7-14 days, and 14-30 days, where the probability of asking about a medical symptom was greater in the 30-day time window preceding 12-step program information-seeking as compared to all previous times that the symptom was queried.…”
  2. 122

    Structural similarity evaluation between XML documents and DTDs by Tekli, J.

    Published 2007
    “…Our approach is based on the concept of tree edit distance, as an effective and efficient means for comparing tree structures, XML documents and DTDs being modeled as ordered labeled trees. …”
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    conferenceObject
  3. 123

    Using XML-based multicasting to improve web service scalability by Tekli, Joe

    Published 2012
    “…The main idea behind our framework is identifying the common pattern and differences between SOAP messages, modeled as trees, so as to multicast similar messages together. …”
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    article
  4. 124

    Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection by Ahmad Yaser Alhaddad (7017434)

    Published 2022
    “…Convolutional and recurrent neural networks, support vector machines, and decision trees are examples of such machine learning algorithms. …”
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    Location matters: spatial dynamics of tumor-infiltrating T cell subsets is prognostic in colon cancer by Hehuan Zhu (4808445)

    Published 2024
    “…We demonstrated an increase in immune cell density and a decrease in the distance of CD3<sup>+</sup>CD8<sup>+</sup> T cells to the nearest tumor cell, in the immune active, ICR High, immune subtypes. …”
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    Hemodynamics of small aneurysm pairs at the internal carotid artery by Jou, Liang-Der

    Published 2012
    “…The maximum wall shear stress increases for serial aneurysms, but decreases for parallel aneurysms. Interaction between parallel aneurysms is not significant; however, the proximal aneurysm in serial aneurysms may be subject to a greater rupture risk.…”
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    article
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    LightEnsemble-Guard: An Optimized Ensemble Learning Framework for Securing Resource-Constrained IoT Systems by Muhammad Usama Tanveer (22225360)

    Published 2025
    “…<p dir="ltr">The rapid proliferation of real-time Internet of Things (IoT) devices has increased the need for efficient and accurate security mechanisms. …”
  14. 134

    Mining Student Information System Records to Predict Students’ Academic Performance by ABU SAA, AMJED TARIQ MOHAMMAD

    Published 2018
    “…An increasing interest has arisen during the past decade to identify the most important factors influencing students’ performance in higher education, especially by using predictive data mining techniques. …”
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  15. 135

    Unleashing early maturity academic innovations by Abdennadher, Slim

    Published 2021
    “…The heart of stimulating high-quality undergraduate research innovation in computing lies in enabling full potential through early maturity, stimulation of discovery, exposure to international collaborations and projects while providing students with the needed freedom to grow and innovate. …”
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    article
  16. 136

    Prediction of EV Charging Behavior Using Machine Learning by Shahriar, Sakib

    Published 2021
    “…As a key pillar of smart transportation in smart city applications, electric vehicles (EVs) are becoming increasingly popular for their contribution in reducing greenhouse gas emissions. …”
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    article
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    Transfer Learning and Sentiment Analysis of Lebanese Dialect Data using a Multilingual Deep Learning Approach by Chehade, Mira

    Published 2024
    “…With the exponential growth in digitally created content and the surge in internet users, the challenges of handling and analyzing large volumes of data have increased, particularly in the context of textual data for sentiment classification. …”
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    masterThesis