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Showing 541 - 560 results of 764 for search '(( data learning algorithm ) OR ((( develop a algorithm ) OR ( element data algorithm ))))', query time: 0.13s Refine Results
  1. 541
    UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices

    UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices by Samir, Moataz

    Published 2019
    “…Then, we develop an effective sub-optimal algorithm based on successive convex approximation in order to obtain results for larger network scenarios. …”
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  2. 542
    Investigation of Forming a Framework to shortlist contractors in the tendering phase

    Investigation of Forming a Framework to shortlist contractors in the tendering phase by DABASH, MOHANNAD SALAH

    Published 2022
    “…After obtaining the weights of the decision factors, a model using Machine Learning algorithm on Google Colab was written using the Python language. …”
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  3. 543
    Improving Rule Set Based Software Quality Prediction

    Improving Rule Set Based Software Quality Prediction by Azar, Danielle

    Published 2003
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  4. 544
    An efficient claim management assurance system using EPC contract based on improved monarch butterfly optimization models

    An efficient claim management assurance system using EPC contract based on improved monarch butterfly optimization models by K. Mukilan (22224793)

    Published 2024
    “…To address these challenges, a claim management system is developed based on the Improved Monarch Butterfly Optimization Algorithm (IMBOA) and the principles of EPC. …”
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  5. 545
    THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar

    THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar by M. Walid Qoronfleh (14153088)

    Published 2020
    “…Consequently, the big data revolution has provided an opportunity to apply artificial intelligence and machine learning algorithms to mine such a vast data set. …”
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  6. 546
    Regression testing C# programs. (c2007)

    Regression testing C# programs. (c2007) by Staitieh, Wael

    Published 2007
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    masterThesis
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  7. 547
    Bootstrap-based Aggregations and their Stability in Feature Selection

    Bootstrap-based Aggregations and their Stability in Feature Selection by Salman, Reem Elfatih

    Published 2022
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  8. 548
    Predicting COVID-19 cases using bidirectional LSTM on multivariate time series

    Predicting COVID-19 cases using bidirectional LSTM on multivariate time series by Ahmed Ben Said (14158926)

    Published 2022
    “…Unlike other forecasting techniques, our proposed approach first groups the countries having similar demographic and socioeconomic aspects and health sector indicators using K-means clustering algorithm. The cumulative case data of the clustered countries enriched with data related to the lockdown measures are fed to the bidirectional LSTM to train the forecasting model. …”
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  9. 549
    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
    “…Looking at the historical data of students, fuzzy logic can be used to develop rules based on these data. Genetic Algorithm would be used to optimize the performance of the system.…”
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  10. 550
    Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier

    Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier by Yassine Himeur (14158821)

    Published 2021
    “…Specifically, short local histograms are drawn to represent individual appliance consumption signatures and robustly extract appliance-level data from the aggregated power signal. Furthermore, an improved k-nearest neighbors (IKNN) algorithm is presented to reduce the learning computation time and improve the classification performance. …”
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  11. 551
    Trajectory Planning and Resource Allocation of Multiple UAVs for Data Delivery in Vehicular Networks

    Trajectory Planning and Resource Allocation of Multiple UAVs for Data Delivery in Vehicular Networks by Samir, Moataz

    Published 2019
    “…To solve it, we employ a sequence of convex approximates. Then, we develop an efficient algorithm to sequentially solve this problem. …”
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  12. 552
    Generic metadata representation framework for social-based event detection, description, and linkage

    Generic metadata representation framework for social-based event detection, description, and linkage by Abebe, Minale A.

    Published 2020
    “…SEDDaL consists of four main modules for: i) describing social media objects in a generic Metadata Representation Space Model (MRSM) consisting of three composite dimensions: temporal, spatial, and semantic, ii) evaluating the similarity between social media objects’ descriptions following MRSM, iii) detecting events from similar social media objects using an adapted unsupervised learning algorithm, where events are represented as clusters of objects in MRSM, and iv) identifying directional, metric, and topological relationships between events following MRSM’s dimensions. …”
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  13. 553
    CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction

    CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction by Khot, Mohammed Taha Shafiq

    Published 2012
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  14. 554
    Design and Analysis of Secure Digital Twin Architecture

    Design and Analysis of Secure Digital Twin Architecture by Shaikh, Eman

    Published 2022
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  15. 555
    Real-Time Social Robot’s Responses to Undesired Interactions Between Children and their Surroundings

    Real-Time Social Robot’s Responses to Undesired Interactions Between Children and their Surroundings by Ahmad Yaser Alhaddad (7017434)

    Published 2022
    “…Additionally, we evaluate the performance of the best developed model with children. Machine learning algorithms experiments showed that XGBoost achieved the best performance across all metrics (e.g., accuracy of 90%) and provided fast predictions (i.e., 0.004 s) for the test samples. …”
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  16. 556
    Predicting insulin dosage for diabetic patients to reach optimal glucose levels. (c2012)

    Predicting insulin dosage for diabetic patients to reach optimal glucose levels. (c2012) by Bitar, Mandy

    Published 2012
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    masterThesis
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  17. 557
    Inferential sensing techniques in industrial applications

    Inferential sensing techniques in industrial applications by Shakil,, Muhammad

    Published 0007
    “…A modular approach is used to develope the inferential sensor model. …”
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  18. 558
    Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques

    Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques by Fares, Samar

    Published 2024
    “…The first method uses an offline technique based on a global optimizer called the CMA-ES algorithm and the second one uses LSTM in its different forms to learn the online adjustment of the fusion weights between the two tracks. …”
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  19. 559
    Performance comparison of variable-stepsize IMEX SBDF methods on advection-diffusion-reaction models

    Performance comparison of variable-stepsize IMEX SBDF methods on advection-diffusion-reaction models by Raed Ali Mara'Beh (17337892)

    Published 2025
    “…We develop an adaptive time-stepping and error control algorithm for VSSBDF methods up to fourth order based on a step-doubling refinement technique using estimates of the local truncation errors. …”
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  20. 560
    Performance comparison of variable-stepsize IMEX SBDF methods on advection-diffusion-reaction models

    Performance comparison of variable-stepsize IMEX SBDF methods on advection-diffusion-reaction models by Raed Ali Ayesh Marabeh (21142247)

    Published 2025
    “…We develop an adaptive time-stepping and error control algorithm for VSSBDF methods up to fourth order based on a step-doubling refinement technique using estimates of the local truncation errors. …”
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