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Showing 201 - 220 results of 721 for search '(((( data using algorithm ) OR ( data modeling algorithm ))) OR ( element mapping algorithm ))', query time: 0.15s Refine Results
  1. 201
    A parallel search tree algorithm for vertex cover on graphical processing units. (c2013)

    A parallel search tree algorithm for vertex cover on graphical processing units. (c2013) by Kabbara, Rashad Karim

    Published 2013
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  2. 202
    Damage assessment and recovery from malicious transactions using data dependency for defensive information warfare

    Damage assessment and recovery from malicious transactions using data dependency for defensive information warfare by Haraty, Ramzi A.

    Published 2007
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  3. 203
    Detecting sleep outside the clinic using wearable heart rate devices

    Detecting sleep outside the clinic using wearable heart rate devices by Ignacio Perez-Pozuelo (14153007)

    Published 2022
    “…Personalized yet device-agnostic algorithms can sidestep laborious human annotations and objectify cross-cohort comparisons. …”
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  4. 204
    Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk

    Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk by Mohamed Chaouch (17983846)

    Published 2025
    “…Additionally, an online classifier is developed for streaming data, combining online PCA with a kernel-based recursive classifier using a stochastic approximation algorithm. …”
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  5. 205
    Nonlinear analysis of shell structures using image processing and machine learning

    Nonlinear analysis of shell structures using image processing and machine learning by M.S. Nashed (16392961)

    Published 2023
    “…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …”
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  6. 206
    An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study

    An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study by Ayman Hassan (14426412)

    Published 2024
    “…</p><h3>Methods</h3><p dir="ltr">Using historical data (2008-2020), an accurate prediction model using machine learning methods was developed and incorporated into a mobile app. …”
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  7. 207
    Cyberbullying Detection Model for Arabic Text Using Deep Learning

    Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

    Published 2023
    “…As a result of the models’ evaluation, a hybrid DL model is proposed that combines the best characteristics of the baseline models CNN, BLSTM and GRU for identifying cyberbullying. …”
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  8. 208
    Cyberbullying Detection Model for Arabic Text Using Deep Learning

    Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

    Published 2023
    “…As a result of the models’ evaluation, a hybrid DL model is proposed that combines the best characteristics of the baseline models CNN, BLSTM and GRU for identifying cyberbullying. …”
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  9. 209
    A decentralized load balancing strategy for parallel search-three optimization. (c2010)

    A decentralized load balancing strategy for parallel search-three optimization. (c2010) by Mouawad, Amer E.

    Published 2010
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  10. 210
    From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors

    From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors by Michael R. Giordano (9976173)

    Published 2021
    “…The methods for correcting and calibrating these biases and dependencies that have been used in the literature likewise range from simple linear and quadratic models to complex machine learning algorithms. …”
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  11. 211
    Haplotype inference by pure-parsimony using revamped delayed haplotype selection. (c2011)

    Haplotype inference by pure-parsimony using revamped delayed haplotype selection. (c2011) by Abdallah, Raymond

    Published 2011
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  12. 212
    Parallel implementation of clique partitioning using artificial neural networks. (c2000)

    Parallel implementation of clique partitioning using artificial neural networks. (c2000) by Hajj, Hisham

    Published 2000
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  13. 213
    Practical Multiple Node Failure Recovery in Distributed Storage Systems

    Practical Multiple Node Failure Recovery in Distributed Storage Systems by Itani, M.

    Published 2016
    “…The problem is solved using genetic algorithms that search within the feasible solution space. …”
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  14. 214
    Energy-aware adaptive compression for mobile devices. (c2009)

    Energy-aware adaptive compression for mobile devices. (c2009) by Maddah, Rakan

    Published 2009
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  15. 215
    Topics in graph algorithms

    Topics in graph algorithms by Abu-Khzam, Faisal Nabih

    Published 2003
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  16. 216
    Modelling Exchange Rates during Currency Crisis using Neural Networks

    Modelling Exchange Rates during Currency Crisis using Neural Networks by Nasr, G. E.

    Published 2006
    “…Exchange rate data from the Lebanese currency crisis period of 1985-1992 is used for training, testing and evaluation of the models. …”
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  17. 217
    Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing

    Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing by Bachir, Abdallah Raafat

    Published 2015
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  18. 218
    Human digital thought clones: the <i>Holy Grail</i> of artificial intelligence for big data

    Human digital thought clones: the <i>Holy Grail</i> of artificial intelligence for big data by Jon Truby (14153022)

    Published 2020
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  19. 219
    DAP: A dataset-agnostic predictor of neural network performance

    DAP: A dataset-agnostic predictor of neural network performance by Sui Paul Ang (18460605)

    Published 2024
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  20. 220
    On-site workshop investment problem: A novel mathematical approach and solution procedure

    On-site workshop investment problem: A novel mathematical approach and solution procedure by Nima Moradi (19418821)

    Published 2023
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