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Showing 1 - 6 results of 6 for search '(((( element cnn algorithm ) OR ( elements fe algorithm ))) OR ( elements sampling algorithm ))', query time: 0.09s Refine Results
  1. 1
    Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification

    Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification by Rajendra Babu Chikkala (22330876)

    Published 2025
    “…The BRNN model, refined using the Adagrad optimization algorithm, efficiently integrates the learned features from both branches. …”
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  2. 2
    Brain Source Localization in the Presence of Leadfield Perturbations

    Brain Source Localization in the Presence of Leadfield Perturbations by Momin, Rabiya Nakhat

    Published 2015
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    doctoralThesis
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  3. 3
    Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar

    Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar by Sankaran, Rajendran

    Published 2022
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  4. 4
    Corona power loss computation in bundled bipolar conductors

    Corona power loss computation in bundled bipolar conductors by Al-Hamouz, Z.M.

    Published 2000
    “…In this paper, a finite element (FE) based algorithm devoted for the computation of the corona current and hence the corona power loss associated with bundled bipolar high voltage direct current (HVDC) conductors is presented. …”
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  5. 5
    Assessing Factors Influencing Customers’ Adoption of AI-Based Voice Assistants

    Assessing Factors Influencing Customers’ Adoption of AI-Based Voice Assistants by Surbhi Choudhary (21633701)

    Published 2024
    “…It also provides implications for tech-managers and algorithm designers to build effective voice technology for superior user experience.…”
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  6. 6
    XBeGene: Scalable XML Documents Generator by Example Based on Real Data

    XBeGene: Scalable XML Documents Generator by Example Based on Real Data by Harazaki, Manami

    Published 2012
    “…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …”
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    conferenceObject
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