Search alternatives:
processing algorithm » processing algorithms (Expand Search)
sample processing » image processing (Expand Search), melt processing (Expand Search)
method algorithm » mould algorithm (Expand Search)
element » elements (Expand Search)
Showing 181 - 200 results of 347 for search '(((( data three algorithms ) OR ( sample processing algorithm ))) OR ( element method algorithm ))', query time: 0.17s Refine Results
  1. 181

    Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter by Mena S. ElMenshawy (17983807)

    Published 2023
    “…A few research studies focused on developing data filtering algorithm for the load forecasting process using approaches such as Kalman filter, which has good tracking capability in the presence of noise in the data collection process. …”
  2. 182
  3. 183

    A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study by Masurkar, Faeez

    Published 2022
    “…The raw broadband beam of the excitation laser was converted to a narrowband beam using a customized optical system, whereas the propagating Rayleigh waves were sensed using a three-dimensional (3D) scanning laser Doppler vibrometer (3D-SLDV) system. …”
    Get full text
  4. 184

    Parallel processing by Mansour, Nashat

    Published 2005
    “…Parallel algorithms, based on simulated annealing, neural networks and genetic algorithms, for mapping irregular data to multicomputers are presented and compared. …”
    Get full text
    Get full text
    Get full text
    conferenceObject
  5. 185

    Corona power loss computation in bundled bipolar conductors by Al-Hamouz, Z.M.

    Published 2000
    “…In this paper, a finite element (FE) based algorithm devoted for the computation of the corona current and hence the corona power loss associated with bundled bipolar high voltage direct current (HVDC) conductors is presented. …”
    Get full text
    Get full text
    article
  6. 186

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

    Published 2016
    “…Classification is crucial as it contributes in solving problems in all fields, such as: bio-chemistry, social sciences, bioinformatics, etc. Classification has three main components: the classification algorithm, the pre-classified data (training data) and the un-classified data (testing data). …”
    Get full text
    Get full text
    masterThesis
  7. 187

    AI-Based Methods for Predicting Required Insulin Doses for Diabetic Patients by Azar, Danielle

    Published 2015
    “…The performance of the three algorithms is evaluated on a data set found in the public UCMI repository.…”
    Get full text
    Get full text
    article
  8. 188

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

    Published 2006
    “…The U-model is utilized to design an adaptive inverse controller by using a simple root-solving algorithm of Newton-Raphson. The synergy of U-model with AIC structure has provided an effective and straight forward method for adaptive tracking of nonlinear plants. …”
    Get full text
    Get full text
    article
  9. 189
  10. 190

    Starvation Problem in CPU Scheduling for Multimedia Systems by Salah, Khaled

    Published 2002
    “…In this paper, we briefly describe three of the popular multimedia scheduling algorithms. …”
    Get full text
    article
  11. 191

    An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection by Abu Zitar, Raed

    Published 2022
    “…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …”
  12. 192

    The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis by Ghada Al-Hussain (18295426)

    Published 2022
    “…<h3>Background</h3><p dir="ltr">When investigating voice disorders a series of processes are used when including voice screening and diagnosis. …”
  13. 193

    Simulations of the penetration of 6061-T6511 aluminum targets by spherical-nosed VAR 4340 steel projectiles by Warren, Thomas

    Published 2000
    “…In the context of an analysis code, this approximation eliminates the need for discretizing the target as well as the need for a contact algorithm. Thus, this method substantially reduces the computer time and memory requirements. …”
    Get full text
    Get full text
    Get full text
    article
  14. 194

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

    Published 2022
    “…The main task is to detect changes in data distribution that might cause changes in the decision bound aries for a classification algorithm. …”
    Get full text
    Get full text
    Get full text
  15. 195

    Vibration suppression in a cantilever beam using a string-type vibration absorber by Issa, Jimmy S.

    Published 2017
    “…The string is rigidly connected to the fixed end of the beam and through a spring and damper to a second point on the beam. The finite element method is used to model the system and a reduced order model is obtained through modal reduction performed on both the string and the beam. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  16. 196
  17. 197

    Dynamic single node failure recovery in distributed storage systems by Itani, M.

    Published 2017
    “…The contributions of the paper are four fold: (i) generating an optimized block distribution scheme among the nodes of a given data center for fixed and variable size blocks; (ii) optimization of storage allocation under dynamic environments with data block arrivals; (iii) optimization of storage allocation with newly added storage nodes; and (iv) generating an effective block distribution scheme among the nodes by accounting for varying priorities among data blocks. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
  18. 198
  19. 199

    Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning by MEZAHEM, FATEMA HAMAD

    Published 2022
    “…Prior to performing sentiment analysis, it is necessary to prepare the data so that it may be used to train machine learning (ML) algorithms. …”
    Get full text
  20. 200