يعرض 461 - 480 نتائج من 615 نتيجة بحث عن '(( element mean algorithm ) OR ((( data processing algorithm ) OR ( designed using algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 461

    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.…"
  2. 462

    A simulated annealing-based optimal controller for a three phase induction motor حسب Mantawy, A.H.

    منشور في 2002
    "…This paper presents a new approach for optimal controller design of a three-phase induction motor (IM), based on using the simulated annealing (SA) method to find the optimal controller gains that satisfy a specific performance criterion. …"
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    article
  3. 463

    A novel technique for fast multiplication حسب Sait, Sadiq M.

    منشور في 1995
    "…In this algorithm the partial products of the multiplicand and three bits of the multiplier are pre-calculated using only hardwired shifts. …"
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    article
  4. 464
  5. 465

    The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions حسب Abdulmalik Alwarafy (17984104)

    منشور في 2022
    "…Towards this, we first overview the existing traditional RRAM methods and identify their limitations that motivate the use of DRL techniques in RRAM. Then, we provide a comprehensive review of the most widely used DRL algorithms to address RRAM problems, including the value- and policy-based algorithms. …"
  6. 466
  7. 467

    Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles حسب Wadi, Ali

    منشور في 2017
    "…The identified a priori knowledge is used to implement an optimal Kalman filter, a multi-hypothesis Kalman filter, and a variant of the full information estimator (moving horizon estimator) to the problem at hand. The proposed algorithms are initially deployed in a simulation environment, and then the experimental data sets are fed into the algorithms to validate their performance. …"
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    article
  8. 468

    Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea حسب Issa, Leila

    منشور في 2018
    "…Lagrangian tracking of passive tracers in a stochastic velocity field within a sequential ensemble data assimilation framework is challenging due to the exponential growth in the number of particles. …"
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    article
  9. 469

    Corrosion Monitoring Technologies for Reinforced Concrete Structures: A Review حسب SHEHADEH, KHADIJA

    منشور في 2023
    "…New technology, algorithms, data processing, and AI are new approaches to improving corrosion monitoring processes. …"
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  10. 470

    Efficient unified Montgomery inversion with multi-bit shifting حسب Savas, Erkay

    منشور في 2005
    "…The similarity of the two algorithms allows the design of a single unified hardware architecture that performs the computation of inversion in both fields. …"
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    article
  11. 471

    A geographic information system method to generate long term regional solar radiation resource maps: enhancing decision-making حسب Sachin Jain (19161721)

    منشور في 2024
    "…The availability of solar radiation throughout the country has been mapped here using ground-based measurements and satellite data. The regression-kriging algorithm and its variants are used to calibrate satellite data, through interpolation of ground solar radiation data. …"
  12. 472

    An evolutionary approach to load balancing parallel computations حسب Mansour, Nashat

    منشور في 1991
    "…It is based on a genetic algorithm that combines a number of design choices in order to ameliorate the problem of premature convergence. …"
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    conferenceObject
  13. 473

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

    منشور في 2019
    "…With the lack of labelled data, I try to overcome the cold start and avoid manual labelling by building a lookup table from a dictionary. …"
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  14. 474

    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
  15. 475

    Newton-Raphson based adaptive inverse control scheme for tracking of nonlinear dynamic plants حسب Shafiq, M.

    منشور في 2006
    "…The U-model is utilized to design an adaptive inverse controller by using a simple root-solving algorithm of Newton-Raphson. …"
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    article
  16. 476

    Modeling and Bias-Robust Estimation of the Acoustic Release of Chemotherapeutics from Liposomes حسب Wadi, Ali

    منشور في 2019
    "…Optimality is guaranteed by accurately identifying the underlying statistical noise characteristics in experimental data. The estimator also quantifies the bias in the release, exhibited by the experimental data. …"
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    article
  17. 477

    Timing influenced general-cell genetic floorplanner حسب Sait, Sadiq M.

    منشور في 2020
    "…The first phase is implemented using genetic algorithm while in the second phase we adopt a constraint graph based approach. …"
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    article
  18. 478
  19. 479

    Reconstruction and simulation of neocortical microcircuitry حسب Khazen, Georges

    منشور في 2015
    "…The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse experimental data. …"
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    article
  20. 480

    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

    منشور في 2019
    "…Despite having different performance results on predicting failures, most of the models produced close outcomes. Meaning no “perfect” machine learning algorithm that will produce good results at particular problem, in fact for each type of problem a specific algorithm is suited and might achieves good outcome, while another algorithm fails heavily. …"
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