يعرض 81 - 100 نتائج من 491 نتيجة بحث عن '(((( develop based algorithm ) OR ( elements data algorithm ))) OR ( data finding algorithm ))*', وقت الاستعلام: 0.13s تنقيح النتائج
  1. 81

    A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units حسب Duffuaa, S. O.

    منشور في 2020
    "…A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (MS) of electric generation units. …"
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    article
  2. 82

    Power Control Algorithms for Media Transmission in Remote Healthcare Systems حسب Ali Hassan Sodhro (18629392)

    منشور في 2018
    "…Thus, this paper first proposes a transmission power control (TPC)-based energy-efficient algorithm (EEA) for when a subject is in different postures, i.e., standing, walking, and running, in wireless body sensor networks. …"
  3. 83

    Use of Data Mining Techniques to Detect Fraud in Procurement Sector حسب AL HAMMADI, SUMAYYA ABDULLA

    منشور في 2022
    "…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …"
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  4. 84
  5. 85

    Evolutionary Game-Based Battery Scheduling: A Comparative Study for Prosumers in Smart Grids حسب Anas Karaki (17947808)

    منشور في 2025
    "…The primary objective is to develop an efficient, reliable, private, and scalable algorithm for battery scheduling that ensures economic efficiency and system stability, even under dynamic market conditions. …"
  6. 86

    A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems حسب Wali Khan Mashwani (14590504)

    منشور في 2021
    "…In this paper, a multiswarm-intelligence-based algorithm (MSIA) is developed to cope with bound constrained functions. …"
  7. 87

    A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models حسب Azar, Danielle

    منشور في 2010
    "…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …"
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    article
  8. 88

    Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy حسب Raad, M.W.

    منشور في 2006
    "…A number of parameter estimation and digital online peak localisation algorithms are being developed, including a pulse classification technique which uses a simple peak search routine based on the smoothed first derivative method, which gave a percentage error of peak amplitude of less than 1%. …"
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    article
  9. 89

    A Modular Reconfigurable Architecture for Asymmetric and Symmetric-key Cryptographic Algorithms حسب Zaidi, Ali Mustafa

    منشور في 2007
    "…Numerous such algorithms have been devised, and many have found popularity in different domains. …"
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    masterThesis
  10. 90

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

    منشور في 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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    article
  11. 91
  12. 92

    The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs حسب Muhammad Kashif (3923483)

    منشور في 2023
    "…One of the prominent challenges lies in the presence of barren plateaus (BP) in QML algorithms, particularly in quantum neural networks (QNNs). …"
  13. 93

    Experimental Investigation and Comparative Evaluation of Standard Level Shifted Multi-Carrier Modulation Schemes With a Constraint GA Based SHE Techniques for a Seven-Level PUC Inv... حسب Atif Iqbal (5504636)

    منشور في 2019
    "…Different standard multicarrier sinusoidal pulse-width modulation techniques (SPWMs) are adapted for the generation of switching gate signals for the PUC power switches, and these SPWMs are compared with novel optimization-based selective harmonic elimination (SHE) that employs genetic algorithm (GA) for solving nonlinear SHE equation with a constraint that eliminated all third-order harmonics efficiently. …"
  14. 94

    A new family of multi-step quasi-Newton algorithms for unconstrained optimization حسب Obeid, Samir

    منشور في 1999
    "…It concentrates on deriving a variable-metric family of minimum curvature algorithms for unconstrained optimization. The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …"
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    article
  15. 95

    A data envelopment analysis model for opinion leaders’ identification in social networks حسب Hamed Baziyad (19273738)

    منشور في 2024
    "…The graph-based methods are one of the most important approaches for finding OLs in OSNs. Social Network Analysis (SNA)-based OLs finding methods deal with a considerable amount of data due to using entire relationships between all of the users in a network, which makes the algorithms time-consuming. …"
  16. 96

    Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

    منشور في 2022
    "…We begin a process to cleaning up the data in the CPS database by applying normalization to eliminate errors and duplication. …"
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  17. 97

    Automatic keyword extraction from a real estate classifieds data set حسب Devassy, Dibin

    منشور في 2011
    "…We begin with designing data cleansing algorithms to verify different attributes of the real estate classified. …"
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  18. 98

    BioNetApp: An interactive visual data analysis platform for molecular expressions حسب Ali M. Roumani (18615124)

    منشور في 2019
    "…BioNetApp also provides data clustering based on molecular concentrations using Self Organizing Maps (SOM), K-Means, K-Medoids, and Farthest First algorithms.…"
  19. 99
  20. 100

    Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition حسب Dabeeruddin Syed (16864260)

    منشور في 2021
    "…A k-Medoid based algorithm is employed for clustering whereas the forecasting models are generated for different clusters of load profiles. …"