يعرض 221 - 240 نتائج من 282 نتيجة بحث عن 'data ((detection algorithm) OR (selection algorithm))', وقت الاستعلام: 0.08s تنقيح النتائج
  1. 221

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

    منشور في 2017
    "…The algorithm uses Dijkstras algorithm to find the shortest path(s) and a modified greedy algorithm to assign maximum flows to selected paths given a specific schedule per time interval. …"
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    conferenceObject
  2. 222

    Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters حسب Sakib Mahmud (15302404)

    منشور في 2025
    "…In this study, we introduce the multimodal feature fusion for non-intrusive occupancy monitoring (MMF-NIOM) framework, which leverages both classical and deep machine learning algorithms to achieve state-of-the-art occupancy detection performance using smart meter data. …"
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    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. …"
  7. 227

    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
  8. 228

    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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  9. 229

    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
  10. 230
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    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
  12. 232

    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
  13. 233

    Analysis of Using Machine Learning to Enhance the Efficiency of Facilities Management in the UAE حسب ULLAH, SAAD

    منشور في 2022
    "…This study addresses these issues by Implementing Machine Learning (ML) algorithms using data from Building Management Systems (BMS) and FM maintenance reports, focussing on predictive maintenance for Fresh Air Handling Units. …"
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    A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks حسب Sakib Mahmud (15302404)

    منشور في 2025
    "…Reported benefits include energy savings, emissions reduction, and improved operational efficiency, although gains are often contingent on data quality, reward design, and benchmark selection. …"
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    Using Social Network Analysis to Study Business Partnerships حسب KARIM, ROLA RASHAD ARIF ABDUL

    منشور في 2018
    "…The resulting weighted undirected network is analysed using community detection algorithms. Characteristics of the top seven communities discovered from the 2015 data are discussed for which common social network motifs are captured. …"
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  19. 239

    Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features حسب Mariam Bahameish (19255789)

    منشور في 2024
    "…To account for limitations associated with small datasets, robust strategies were implemented based on methodological recommendations for ML with a limited dataset, including data segmentation, feature selection, and model evaluation. …"
  20. 240

    Modelling of pollutant transport in compound open channels حسب Chatila, Jean Georges

    منشور في 1998
    "…The numerical computation of open-channel flows requires preparing and processing larger volumes of boundary and bathymetry data for computer inputs and the development of numerical algorithms for treating complex boundary condition, channel properties, and free surface effects. …"
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    masterThesis