يعرض 201 - 220 نتائج من 609 نتيجة بحث عن '(((( develop based algorithm ) OR ( elements data algorithm ))) OR ( data learning algorithm ))*', وقت الاستعلام: 0.13s تنقيح النتائج
  1. 201

    Predicting and Interpreting Student Performance Using Machine Learning in Blended Learning Environments in a Jordanian School Context حسب SALIM, MAHA JAWDAT

    منشور في 0024
    "…These platforms enhance academic performance by fostering collaborative learning environments and generating extensive data from every user interaction. …"
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  2. 202

    A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models حسب Osama Bassam J. Rabie (21323741)

    منشور في 2024
    "…The novelty of this work is, a recently developed DRF optimization methodology incorporated with the machine learning algorithm is utilized for maximizing the security level of IoT systems. …"
  3. 203

    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
  4. 204
  5. 205

    Defining quantitative rules for identifying influential researchers: Insights from mathematics domain حسب Ghulam Mustafa (458105)

    منشور في 2024
    "…To perform the experiment, we focused on the field of mathematics and used a dataset containing 525 individuals who received awards and 525 individuals who did not receive awards. The rules were developed for each parameter category using the Decision Tree Algorithm, which achieved an average accuracy of 70 to 75 percent for identifying awardees in mathematics domains. …"
  6. 206
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  8. 208

    Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization حسب Abrar, Shafayat

    منشور في 2002
    "…To overcome this problem, in this work, a fast converging recursive least squares (RLS)-based complex-valued backpropagation learning algorithm is derived for S&G-DD blind equalization. …"
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    article
  9. 209
  10. 210

    A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai حسب ALGHANEM, HANI SUBHI MOHD

    منشور في 2024
    "…The proposed framework comprises key elements: Important Decisions derived from interviews with transportation leaders, Knowledge Management enhanced by AI algorithms, Data Mining/Analysis utilizing historical data, the Fleet Management System employing Oracle ERP, and a Data-Driven Decision Support Framework that leans towards the extended framework approach. …"
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  11. 211

    Development of multivariable PID controller gains in presence of measurement noise حسب Saab, Samer S.

    منشور في 2017
    "…The development of the proposed optimal algorithm is based on minimising a stochastic performance index in presence of erroneous initial conditions, white measurement noise, and white process noise. …"
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    article
  12. 212

    Environmental/economic power dispatch using multiobjective evolutionary algorithms: a comparative study حسب Abido, M.A.

    منشور في 2003
    "…A comparative study of newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) applied to a nonlinear power system multiobjective optimization problem is presented in this paper. …"
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    article
  13. 213

    Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

    منشور في 2020
    "…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. …"
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    article
  14. 214

    Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

    منشور في 2020
    "…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. …"
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    article
  15. 215

    Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands حسب Peng, Wang

    منشور في 2020
    "…A novel evolving solution based on flower pollination algorithm is also proposed to solve the problem optimally. …"
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    article
  16. 216

    Using machine learning for disease detection. (c2013) حسب Jreij, Georges Antoun

    منشور في 2016
    "…Classification consists of predicting group membership for new data instances by learning from pre-classified data instances. …"
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    masterThesis
  17. 217

    Benchmarking Concept Drift Detectors for Online Machine Learning حسب Mahgoub, Mahmoud

    منشور في 2022
    "…Concept drift detection is an essential step to maintain the accuracy of online machine learning. The main task is to detect changes in data distribution that might cause changes in the decision bound aries for a classification algorithm. …"
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  18. 218

    LDSVM: Leukemia Cancer Classification Using Machine Learning حسب Abdul Karim (417009)

    منشور في 2022
    "…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …"
  19. 219

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

    منشور في 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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    masterThesis
  20. 220

    Positive Unlabelled Learning to Recognize Dishes as Named Entity حسب TAREK, AIMAN

    منشور في 2019
    "…I work with Yelp dataset, going through each text review, using each noun as a candidate, label the positive samples using the aforementioned lookup table, then using Positive Unlabelled learning techniques to recognise more entities within the unlabelled data, by predicting the probability for each candidate. …"
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