Search alternatives:
modeling algorithm » scheduling algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
Showing 21 - 40 results of 312 for search '(((( elements data algorithm ) OR ( process modeling algorithm ))) OR ( neural coding algorithm ))', query time: 0.16s Refine Results
  1. 21
    Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function

    Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function by Mujahid, S.N.

    Published 2020
    “…In this paper, a fuzzy based process targeting model is developed for a product with multi-characteristic. …”
    Get full text
    article
    Save to List
    Saved in:
  2. 22
    Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function

    Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function by Duffuaa, S. O.

    Published 2020
    “…In this paper, a fuzzy based process targeting model is developed for a product with multi-characteristic. …”
    Get full text
    article
    Save to List
    Saved in:
  3. 23
    Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network

    Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network by Mohammad Reza Chalak Qazani (13893261)

    Published 2024
    “…Additionally, the multi-objective genetic algorithm (MOGA) was utilised to extract the most optimal parameters for the injection moulding process, aiming to minimise shear and residual stress and thereby increase the resistance of the final product. …”
    Save to List
    Saved in:
  4. 24
    DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data

    DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data by Assaf, Ali

    Published 2022
    “…Distributed clustering algorithms, however, can fulfil this gap. They extract a classification model from the distributed objects even when they are in different sites and locations. …”
    Get full text
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  5. 25
    Graph Computing Systems and Partitioning Techniques: A Survey

    Graph Computing Systems and Partitioning Techniques: A Survey by Tewodros Alemu Ayall (19273717)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  6. 26
    Estimating Construction Project Duration Using a Machine Learning Algorithm

    Estimating Construction Project Duration Using a Machine Learning Algorithm by Nasr, Joshua

    Published 2024
    Get full text
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  7. 27
    The Detection of Dysarthria Severity Levels Using AI Models: A Review

    The Detection of Dysarthria Severity Levels Using AI Models: A Review by Afnan Al-Ali (16888695)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  8. 28
    Efficient Approximate Conformance Checking Using Trie Data Structures

    Efficient Approximate Conformance Checking Using Trie Data Structures by Awad, Ahmed

    Published 2021
    “…Conformance checking compares a process model and recorded executions of a process, i.e., a log of traces. …”
    Get full text
    Get full text
    Get full text
    Save to List
    Saved in:
  9. 29
    Correlation Clustering via s-Club Cluster Edge Deletion

    Correlation Clustering via s-Club Cluster Edge Deletion by Makarem, Norma

    Published 2023
    Subjects: “…Cluster analysis -- Data processing…”
    Get full text
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  10. 30
    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT

    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT by Dhananjay Bisen (19482454)

    Published 2023
    “…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …”
    Save to List
    Saved in:
  11. 31
    A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model

    A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model by Md. Nazmul Islam Shuzan (16888827)

    Published 2021
    “…Gaussian Process Regression (GPR) with Fit a Gaussian process regression model (Fitrgp) feature selection algorithm outperformed all other combinations and exhibits a root mean squared error (RMSE), mean absolute error (MAE), and two-standard deviation (2SD) of 2.63, 1.97, and 5.25 breaths per minute, respectively. …”
    Save to List
    Saved in:
  12. 32
    Parallel processing

    Parallel processing by Mansour, Nashat

    Published 2005
    Get full text
    Get full text
    Get full text
    conferenceObject
    Save to List
    Saved in:
  13. 33
    Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm

    Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm by Odat, Alhaj-Saleh A.

    Published 2024
    “…The model aims to compare the performance of classical perturb and observe (P&O) algorithm, particle swarm optimization (PSO) algorithm, flower pollination algorithm (FPA), and SMC-based tracking techniques. …”
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  14. 34
    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method

    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

    Published 2022
    “…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …”
    Save to List
    Saved in:
  15. 35
    Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect

    Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect by Habeeb, Abdallah

    Published 2022
    “…The second phase, modified the Artificial Bee Colony (ABC) Algorithm, with Upper Confidence Bound (UCB) Algorithm, to promote the exploitation ability for the minimum dimension, to get the minimum number of the optimal feature, then using forward feature selection strategy by four classifiers of machine learning algorithms: (K-Nearest Neighbors (KNN), Support vector machines (SVM), Naïve-Bayes (NB), and Polynomial Neural Networks (PNN). …”
    Get full text
    Save to List
    Saved in:
  16. 36
    A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net

    A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net by Sania Gul (18272227)

    Published 2023
    “…Although, there are dedicated audio processing DNNs, yet, many recent models of AE have utilized U-Net: a DNN based on Convolutional Neural Network (CNN), fundamentally developed for image segmentation. …”
    Save to List
    Saved in:
  17. 37
    Exploring New Parameters to Advance Surface Roughness Prediction in Grinding Processes for the Enhancement of Automated Machining

    Exploring New Parameters to Advance Surface Roughness Prediction in Grinding Processes for the Enhancement of Automated Machining by Mohammadjafar Hadad (21142499)

    Published 2024
    “…To evaluate a robust algorithm, a method is devised that involves different networks utilizing various activation functions and neuron sizes to distinguish and select the best architecture for this study. …”
    Save to List
    Saved in:
  18. 38
    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information

    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information by M. Ghoniem, Rania

    Published 2019
    “…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …”
    Get full text
    Get full text
    Save to List
    Saved in:
  19. 39
    Cyberbullying Detection Model for Arabic Text Using Deep Learning

    Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

    Published 2023
    “…As a result of the models’ evaluation, a hybrid DL model is proposed that combines the best characteristics of the baseline models CNN, BLSTM and GRU for identifying cyberbullying. …”
    Get full text
    Get full text
    Save to List
    Saved in:
  20. 40
    A systematic review of text classification research based on deep learning models in Arabic language

    A systematic review of text classification research based on deep learning models in Arabic language by Wahdan, Ahlam

    Published 2020
    “…Several machine learning techniques can be used for text classification, but we have focused only on the recent trend of neural network algorithms. In this paper, the concept of classifying texts and classification processes are reviewed. …”
    Get full text
    Get full text
    Save to List
    Saved in:

Search Tools: