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Showing 501 - 520 results of 768 for search '(( element based algorithm ) OR ((( data using algorithm ) OR ( data processing algorithm ))))', query time: 0.12s Refine Results
  1. 501
    Evacuation of a highly congested urban city

    Evacuation of a highly congested urban city by El Khoury, John

    Published 2017
    “…A case study using real population and transportation network data was tested using the proposed methodology. …”
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  2. 502
    Optimizing ADWIN for Steady Streams

    Optimizing ADWIN for Steady Streams by Moharram, Hassan

    Published 2022
    “…However, online machine learning comes with many challenges for the different aspects of the learning process, starting from the algorithm design to the evaluation method. …”
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  3. 503
    A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security

    A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security by S. Shitharth (12017480)

    Published 2023
    “…Moreover, the Reconciliate Multi-Agent Markov Learning (RMML) based classification algorithm is used to predict the intrusion with its appropriate classes. …”
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  4. 504
    Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials

    Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials by Ghouti, Lahouari

    Published 1997
    “…The proposed techniques are: i) a batch-type deconvolution method using the complex bicepstrum algorithm, and ii) automatic ultrasonic defect classification system using a modular learning strategy. …”
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  5. 505
    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System

    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System by Alkhatib, Osama

    Published 2019
    “…Therefore, for this paper multiple machine learning algorithms are investigated to predict system failure based on vehicle trips information as well as maintenance management historical data including preventive maintenance and corrective maintenance. …”
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  6. 506
    A survey and comparison of wormhole routing techniques in a meshnetworks

    A survey and comparison of wormhole routing techniques in a meshnetworks by Al-Tawil, K.M.

    Published 1997
    “…They consist of many processing nodes that interact by sending messages (containing both data and synchronization information) over a communication link, between nodes. …”
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  7. 507
    High-order parametrization of the hypergeometric-Meijer approximants

    High-order parametrization of the hypergeometric-Meijer approximants by Abouzeid M. Shalaby (16329062)

    Published 2023
    “…To solve this problem, we formulate an equivalent (order by order) linear set of equations which is easy to solve in an appropriate time using normal PCs. We also show that such extension of the hypergeometric resummation algorithm is able to employ non-perturbative information like strong-coupling and large-order asymptotic data which are always used to accelerate the convergence. …”
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  8. 508
    Shuffled Linear Regression with Erroneous Observations

    Shuffled Linear Regression with Erroneous Observations by Saab, Samer S.

    Published 2019
    “…Existing methods are either applicable only to data with limited observation errors, work only for partially shuffled data, sensitive to initialization, and/or work only with small dimensions. …”
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  9. 509
    A novel few shot learning derived architecture for long-term HbA1c prediction

    A novel few shot learning derived architecture for long-term HbA1c prediction by Marwa Qaraqe (10135172)

    Published 2024
    “…Short-term CGM time-series data are processed using both novel image transformation approaches, as well as using conventional signal processing methods. …”
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  10. 510
    A hybrid approach for XML similarity

    A hybrid approach for XML similarity by Tekli, Joe

    Published 2007
    “…In the past few years, XML has been established as an effective means for information management, and has been widely exploited for complex data representation. Owing to an unparalleled increasing use of the XML standard, developing efficient techniques for comparing XML-based documents becomes essential in information retrieval (IR) research. …”
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  11. 511
    Vehicular-OBUs-As-On-Demand-Fogs

    Vehicular-OBUs-As-On-Demand-Fogs by Sami, Hani

    Published 2020
    “…For instance, real-time vehicular applications require fast processing of the vast amount of generated data by vehicles in order to maintain service availability and reachability while driving. …”
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  12. 512
    Indoor Localization Schemes for Mobile Robots

    Indoor Localization Schemes for Mobile Robots by Al-Jarrah, Islam Mohammad-Amin

    Published 2010
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  13. 513
    A multi-pretraining U-Net architecture for semantic segmentation

    A multi-pretraining U-Net architecture for semantic segmentation by Cagla Copurkaya (22502042)

    Published 2025
    “…The proposed approach makes advantage of data augmentation to generate newly synthesized images, which are subsequently processed using a watershed mask. …”
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  14. 514
    An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services

    An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services by ALBARGHOTHI, ALI BAHA’EDDIN

    Published 2018
    “…Further, 414 automatic questions are tested on the QA algorithm using two methods, semantics-based and keyword-based. …”
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  15. 515
    Automated skills assessment in open surgery: A scoping review

    Automated skills assessment in open surgery: A scoping review by Hawa Hamza (17707224)

    Published 2025
    “…In this scoping review, we present the open surgeries and clinical settings where AI-based skill assessment has been applied, the kind of surgical data acquired for the AI-based algorithms, and the types of AI-based models used for automated skills assessment. …”
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  16. 516
    Deep Reinforcement Learning for Resource Constrained HLS Scheduling

    Deep Reinforcement Learning for Resource Constrained HLS Scheduling by Makhoul, Rim

    Published 2022
    “…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …”
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  17. 517
    Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT)

    Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT) by Kouatli, Issam

    Published 2015
    “…Decision making and/or Decision Support Systems (DSS) using intelligent techniques like Genetic Algorithm and fuzzy logic is becoming popular in many new applications. …”
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  18. 518
    Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System

    Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System by Abougharib, Arwa

    Published 2020
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  19. 519
    An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems

    An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems by Abdel-Salam, Mahmoud

    Published 2024
    “…Therefore, this process can be seen as an optimization process. The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …”
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  20. 520
    Positive Unlabelled Learning to Recognize Dishes as Named Entity

    Positive Unlabelled Learning to Recognize Dishes as Named Entity by TAREK, AIMAN

    Published 2019
    “…I work with Yelp dataset, going through each text review, using each noun as a candidate, label the positive samples using the aforementioned lookup table, then using Positive Unlabelled learning techniques to recognise more entities within the unlabelled data, by predicting the probability for each candidate. …”
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