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Showing 341 - 360 results of 622 for search '(( data processing algorithm ) OR ((( developing ii algorithm ) OR ( relevant data algorithm ))))', query time: 0.14s Refine Results
  1. 341
    Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization

    Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization by Alkhawja, Fares Amin E

    Published 2019
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  2. 342
    Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning

    Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning by MEZAHEM, FATEMA HAMAD

    Published 2022
    “…For sentiment analysis, pre-processing is a crucial step in the data preparation process. …”
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  3. 343
    Framework for rapid design and optimisation of immersive battery cooling system

    Framework for rapid design and optimisation of immersive battery cooling system by Ali Almshahy (23544823)

    Published 2025
    “…A conjugate heat transfer model for a 3S2P pouch cell module (20 Ah LiFePO₄) is developed and validated against experimental data (< 2% error). …”
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  4. 344
    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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  5. 345
    Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology

    Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology by Ajay Vikram Singh (204056)

    Published 2023
    “…As personalized medicine and toxicogenomics involve huge data processing, AI can expedite this process by providing powerful data processing, analysis, and interpretation algorithms. …”
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  6. 346
    MoveSchedule

    MoveSchedule by Zouein, Pierette

    Published 1995
    “…More importantly, it helps identify construction time periods with potential spatial conflicts due to limited space so that they can be avoided in early project plans. This research develops an integrated scheduler and space planner, MoveSchedule, that adjusts an initial project schedule to comply with site space limitations in the process of accommodating resource space needs as they change over time. …”
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  7. 347
    Multi-UAV-Enabled Mobile Edge Computing IoT Systems: Joint Association and Resource Allocation Framework

    Multi-UAV-Enabled Mobile Edge Computing IoT Systems: Joint Association and Resource Allocation Framework by Abu Farha, Yazan Mahmoud

    Published 2024
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  8. 348
    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model

    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model by Ramesh Sundar (19326046)

    Published 2024
    “…The proposed approach of DDN is trained with proper data sequences used for communication and the training phase is conducted with the norms of numerous channel variants. …”
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  9. 349
    Evacuation of a highly congested urban city

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

    Published 2017
    “…As the evacuation route planning is computationally challenging, an evacuation scheduling algorithm was adopted to expedite the solution process. …”
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  10. 350
    Protein glycation – biomarkers of metabolic dysfunction and early-stage decline in health in the era of precision medicine

    Protein glycation – biomarkers of metabolic dysfunction and early-stage decline in health in the era of precision medicine by Naila, Rabbani

    Published 2021
    “…Investigational glycation biomarkers are in development for: (i) healthy aging; (ii) risk prediction of vascular complications of diabetes; (iii) diagnosis of autism; and (iv) diagnosis and classification of early-stage arthritis. …”
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  11. 351
    Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review

    Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review by Alaa Abd-alrazaq (17058018)

    Published 2022
    “…</p><h3>Conclusions</h3><p dir="ltr">The last decade witnessed an increase in the development of AI-driven serious games for health care purposes, targeting various health conditions, and leveraging multiple AI algorithms; this rising trend is expected to continue for years to come. …”
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  12. 352
    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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  13. 353
    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying

    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying by Tekli, Joe

    Published 2023
    “…Dedicated weighting functions and various search algorithms have been developed for that purpose and will be presented here. …”
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  14. 354
    An XML Document Comparison Framework

    An XML Document Comparison Framework by Tekli, Joe

    Published 2001
    “…As the Web continues to grow and evolve, more and more information is being placed in structurally rich documents, XML documents in particular, so as to improve the efficiency of similarity clustering, information retrieval and data management applications. Various algorithms for comparing hierarchically structured data, e.g., XML documents, have been proposed in the literature. …”
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  15. 355
    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
    “…XML datasets of various sizes and properties are needed to evaluate the correctness and efficiency of XML-based algorithms and applications. While several downloadable datasets can be found online, these are predefined by system experts and might not be suitable to evaluate every algorithm. …”
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  16. 356
    An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control

    An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control by Mahmoud Dahmani (18810247)

    Published 2020
    “…<p dir="ltr">In the 34 developed and 156 developing countries, there are ~132 million disabled people who need a wheelchair, constituting 1.86% of the world population. …”
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  17. 357
    Evolutionary support vector regression for monitoring Poisson profiles

    Evolutionary support vector regression for monitoring Poisson profiles by Ali Yeganeh (16624998)

    Published 2023
    “…This paper aims to monitor Poisson profile monitoring problem in Phase II and develops a new robust control chart using support vector regression by incorporating some novel input features and evolutionary training algorithm. …”
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  18. 358
    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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  19. 359
    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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  20. 360
    Performance Prediction Using Classification

    Performance Prediction Using Classification by MOOLIYIL, GITA

    Published 2019
    “…Principal component analysis and feature selection by weights using information gain ratio, Gini index, correlation and PCA is used to determine the relevant predictors of the datasets used. This study also addresses gaps in the current available literature on performance prediction, such as data imbalance and the use of Ensemble models. …”
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