Showing 201 - 220 results of 344 for search '(((( element method algorithm ) OR ( present model algorithm ))) OR ( neural coding algorithm ))', query time: 0.11s Refine Results
  1. 201
  2. 202

    A method for data path synthesis using neural networks by Harmanani, H.

    Published 2017
    “…Presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …”
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    conferenceObject
  3. 203

    Random vector functional link network: Recent developments, applications, and future directions by A.K. Malik (16003193)

    Published 2023
    “…Moreover, we discuss the different hyperparameter optimization techniques followed in the literature to improve the generalization performance of the RVFL model. Finally, we present potential future research directions/opportunities that can inspire the researchers to improve the RVFL’s architecture and learning algorithm further. …”
  4. 204

    Pre-production movie rating prediction using machine learning. (c2017) by Gerges, Firas Abdallah

    Published 2017
    “…Results show that machine learning is useful in this domain and genetic algorithms can be used to build prediction models with relatively good performance. …”
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    masterThesis
  5. 205

    Robustness evaluation of real-Time Protocols by Tarhini, Abbas

    Published 2006
    “…We extract test sequences from the nominal specification and we inject automatically faults in order to model hostile environments. A quantitative system is presented. …”
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    conferenceObject
  6. 206

    “Adaptive Control Technique Using Multilayer Feedforward Neural Networks” by Al-Duwaish, H.

    Published 2005
    “…The controlled process is approximated at each sampling time by a linear time-invariant (LTI) model. The proposed adaptive controller is a combination of a parameter estimation algorithm to estimate the parameters of the process and an adaptation algorithm for the connection weights of the neural network. …”
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    article
  7. 207

    A stochastic PID controller for a class of MIMO systems by Saab, Samer S.

    Published 2017
    “…The implementation of the proposed algorithm is described and boundedness of trajectories and convergence characteristics are presented for a discretised continuous-time model. …”
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    article
  8. 208

    Lightweight blockchain solutions: Taxonomy, research progress, and comprehensive review by Mershad, Khaleel

    Published 2023
    “…More precisely, we identify five areas within the “lightweight” concept, namely, blockchain architecture, device authentication, cryptography model, consensus algorithm, and storage method. We discuss the various methods employed in each “lightweight” category, highlighting existing gaps and identifying areas for improvement. …”
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    article
  9. 209

    Robustness testing of composed real-time systems by Fouchal, Hacène

    Published 2010
    “…Each tester is dedicated to test a single SUT component. A test execution algorithm is presented. Testing the SUT is divided into two phases. …”
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    article
  10. 210

    Energy-Aware QoS Uplink Scheduling for UGS Traffic Flows in WiMAX Networks by Noorani, Sanabel

    Published 2014
    “…This paper presents a new energy-aware QoS scheduling and call admission control algorithm for WiMAX IEEE 802.16e wireless access standard. …”
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    article
  11. 211
  12. 212

    A feature‐based approach for guiding the selection of Internet of Things cybersecurity standards using text mining by Koen Schaaf (14778139)

    Published 2021
    “…Third, a text mining algorithm has been implemented. Fourth, the systematic approach has been modeled using business process modeling notation. …”
  13. 213

    A pragmatic approach for testing robustness on real-time component based systems by Tarhini, Abbas

    Published 2005
    “…Each tester is dedicated to test a single SUT component. A test execution algorithm with an approach to handle testers coordination and execution delay is presented. …”
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    conferenceObject
  14. 214

    Development of a deep learning-based group contribution framework for targeted design of ionic liquids by Sadah Mohammed (18192859)

    Published 2024
    “…<p dir="ltr">In this article, we present a novel deep learning-based group contribution framework for the targeted design of ionic liquids (ILs). …”
  15. 215

    Determination Of The Optimal Process Means And Production Cycles For Multistage Production Systems Subject To Process Deterioration by Al-Sultan, K.S.

    Published 2020
    “…Sensitivity analysis of the given model is presented. Finally, some suggestions for improving performance of the process are presented.…”
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    article
  16. 216

    Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems by Rania A., Turky

    Published 2023
    “…It depends mainly on the actuating error signal, and it has a variable step size of the CMPN. The detailed modeling of the whole system is presented, including measured wind speed data, detailed switching techniques, a drive train model of the turbine, and real SMESD. …”
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    article
  17. 217
  18. 218

    ON-LINE IDENTIFICATION AND CONTROL THROUGH SERIES CONVERTER VOLTAGE OF A UNIFIED POWER FLOW CONTROLLER by Rahim, A.H.M.A

    Published 2006
    “…Self-tuning adaptive control of the voltage magnitude of the series converter for stabilization of a power system is presented in this paper. The plant parameters are identified through a regressive least square algorithm and the stabilizing control is derived through a pole-shifting technique using the adaptive plant model. …”
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    article
  19. 219

    Practical single node failure recovery using fractional repetition codes in data centers by Itani, May

    Published 2016
    “…Hence, a practical solution for node failures is presented by using a self-designed genetic algorithm that searches within the feasible solution space. …”
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    conferenceObject
  20. 220

    The effects of data balancing approaches: A case study by Paul Mooijman (4453189)

    Published 2023
    “…In this research, classification algorithms, combined with resampling strategies and dimensionality reduction methods, were investigated to find a prediction model to correctly identify the samples of treated animals. …”