يعرض 261 - 280 نتائج من 338 نتيجة بحث عن '(( data selection algorithm ) OR ( data optimization algorithm ))*', وقت الاستعلام: 0.09s تنقيح النتائج
  1. 261

    Security in wire/wireless networks: sniffing attacks prevention/detection techniques in LAN networks & the effect on biometric technology حسب Al-Hemairy, Moh'd Hussain

    منشور في 2010
    "…Based on the surprising experimental results done by a previous study in the security lab which proposed an optimal algorithm to enhance their ability against the two famous network attacks; we implemented the proposed algorithm by this study and stimulate the experiment in order to test the algorithm performance. …"
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  2. 262

    Scatter search technique for exam timetabling حسب Mansour, Nashat

    منشور في 2011
    "…We evaluate our suggested technique on real-world university data and compare our results with the registrar’s manual timetable in addition to the timetables of other heuristic optimization algorithms. …"
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    article
  3. 263
  4. 264

    Scatter search metaheuristic for homology based protein structure prediction. (c2015) حسب Stamboulian, Mouses Hrag

    منشور في 2015
    "…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. Our algorithm optimizes the initial poor alignments, generated by a dynamic programming method. …"
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    masterThesis
  5. 265

    Could Petrol Stations Play a Key Role in Transportation Electrification? A GIS-Based Coverage Maximization of Fast EV Chargers in Urban Environment حسب Safak Bayram (16925975)

    منشور في 2022
    "…More specifically, the location problem is modelled as a maximum coverage location problem (MCLP) and solved using a geographic information system (GIS) based platform. The spatial optimization problem is solved using a linear-programming relaxation based MCLP algorithm developed in Python. …"
  6. 266

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

    منشور في 2019
    "…This paper tackles this problem in its full generality using stochastic approximation, which is based on a first-order permutation-invariant constraint. We propose an optimal recursive algorithm that updates the estimate from the underdetermined function that is based on that permutation-invariant constraint. …"
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    conferenceObject
  7. 267

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

    منشور في 2022
    "…Two reviewers independently performed the study selection process. Three reviewers independently extracted data from the included studies. …"
  8. 268

    Artificial Intelligence for Skin Cancer Detection: Scoping Review حسب Abdulrahman Takiddin (14153181)

    منشور في 2021
    "…Study selection and data extraction were independently conducted by two reviewers. …"
  9. 269

    Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review حسب Arfan Ahmed (17541309)

    منشور في 2022
    "…Two reviewers independently performed study selection and data extraction, and disagreements were resolved by consensus. …"
  10. 270

    Generic DFT approach for pattern sensitive faults in word-orientedmemories حسب Amin, A.A.

    منشور في 1996
    "…A novel design for testability (DFT) strategy allows efficient built-in self-testing (BIST) of WOMs. By proper selection of the memory array tiling scheme, it is possible to implement O(n) BIST algorithms which test WOMs for various types of neighbourhood pattern sensitive faults (NPSFs). …"
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    article
  11. 271

    Performance Prediction Using Classification حسب MOOLIYIL, GITA

    منشور في 2019
    "…The use of classification as a data mining approach for performance prediction has been studied by many eminent researchers. …"
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  12. 272

    Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks حسب Abbas, Nadine

    منشور في 2018
    "…We also propose efficient sub-optimal hierarchical tree-based algorithms that operate in real time with dynamic and fast solutions for ultra dense networks. …"
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    article
  13. 273

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

    منشور في 2022
    "…The actions and rewards for the proposed algorithm are selected carefully to guide the agent to its objective. …"
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    masterThesis
  14. 274

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

    منشور في 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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  15. 275
  16. 276

    Local convexity preserving rational cubic spline curves حسب Sarfraz, M.

    منشور في 1997
    "…An algorithm is presented which constructs a curve by interpolating the given data points. …"
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    article
  17. 277

    Design and analysis of entropy-constrained reflected residual vector quantization حسب Mousa, W.A.H.

    منشور في 2002
    "…Residual vector quantization (RVQ) is a vector quantization (VQ) paradigm which imposes structural constraints on the encoder in order to reduce the encoding search burden and memory storage requirements of an unconstrained VQ. Jointly optimized RVQ (JORVQ) is an effective design algorithm for minimizing the overall quantization error. …"
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    article
  18. 278

    Regression Testing of Database Applications حسب Haraty, Ramzi A.

    منشور في 2002
    "…In phase 2, further reduction in the regression test cases is performed by using reduction algorithms. We present two such algorithms. The Graph Walk algorithm walks through the control flow graph of database modules and selects a safe set of test cases to retest. …"
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    article
  19. 279
  20. 280

    A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass حسب Uzma Nawaz (21980708)

    منشور في 2025
    "…By synthesizing findings across various data sources and model architectures, we offer critical insights into the selection of context-aware algorithms and identify key research gaps, an essential step for advancing the reliability and applicability of AI-driven seagrass conservation efforts.…"