Search alternatives:
modeling algorithm » scheduling algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
system » systems (Expand Search)
Showing 81 - 100 results of 979 for search '(( elements method algorithm ) OR ((( data using algorithm ) OR ( system modeling algorithm ))))', query time: 0.15s Refine Results
  1. 81
    Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques

    Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques by Abu Zitar, Raed

    Published 2022
    “…This paper covered the most resent and important researchers in the domain of renewable problems using the learning-based methods. Various types of Deep Learning (DL) and Machine Learning (ML) algorithms employed in Solar and Wind energy supplies are given. …”
    Get full text
    Save to List
    Saved in:
  2. 82
    Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter

    Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter by Al-Omari, Muhannad A. R. I.

    Published 2013
    Subjects: Get full text
    doctoralThesis
    Save to List
    Saved in:
  3. 83
    State-of-Charge Estimation Using Triple Forgetting Factor Adaptive Extended Kalman Filter for Battery Energy Storage Systems in Electric Bus Applications

    State-of-Charge Estimation Using Triple Forgetting Factor Adaptive Extended Kalman Filter for Battery Energy Storage Systems in Electric Bus Applications by Mena S. ElMenshawy (17983807)

    Published 2025
    Save to List
    Saved in:
  4. 84
    A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm

    A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm by Amirsajjad Rahmani (17541453)

    Published 2023
    “…The t-test and the binary whale optimization algorithm (BWOA) were applied to choose the best features and train the support vector machine (SVM) model with validation and training data. …”
    Save to List
    Saved in:
  5. 85
    A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems

    A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems by Majdi Mansouri (16869885)

    Published 2020
    “…Thus, this paper proposes a novel Interval Gaussian Process Regression (IGPR)-based Random Forest (RF) technique (IGPR-RF) for diagnosing uncertain WEC systems. In the proposed IGPR-RF technique, the effective interval-valued nonlinear statistical features are extracted and selected using the IGPR model and then fed to the RF algorithm for fault classification purposes. …”
    Save to List
    Saved in:
  6. 86
    A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators

    A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators by Al-Hamouz, Z.M.

    Published 2002
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  7. 87
    Genetic and heuristic algorithms for regrouping service sites. (c2000)

    Genetic and heuristic algorithms for regrouping service sites. (c2000) by Tabbara, Hiba

    Published 2000
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  8. 88
    A Survey of Data Clustering Techniques

    A Survey of Data Clustering Techniques by Sobeh, Salma

    Published 2023
    “…Clustering, an unsupervised learning technique, aims to identify a specific number of clusters to effectively categorize the data through data grouping. Hence, clustering is related to many fields and is used in various applications that deal with large datasets. …”
    Get full text
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  9. 89
    Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands

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

    Published 2020
    “…An IEEE standard test system is used as the hybrid AC/DC microgrid case study to assess the performance of proposed model.…”
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  10. 90
    How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation

    How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation by Joni Salminen (7434770)

    Published 2023
    Save to List
    Saved in:
  11. 91
    A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models

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

    Published 2024
    “…Moreover, the DBRF classification model is deployed to categorize the normal and attacking data flows using optimized features. …”
    Save to List
    Saved in:
  12. 92
    Clustering/partitioning algorithms and comparative analysis

    Clustering/partitioning algorithms and comparative analysis by Touma, Walid Rachid

    Published 1989
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  13. 93
    Combining and adapting software quality predictive models by genetic algorithms

    Combining and adapting software quality predictive models by genetic algorithms by Azar, D.

    Published 2017
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
    Save to List
    Saved in:
  14. 94
    New fault models and efficient BIST algorithms for dual-portmemories

    New fault models and efficient BIST algorithms for dual-portmemories by Amin, A.A.

    Published 1997
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  15. 95
    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
    Save to List
    Saved in:
  16. 96
    A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)

    A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015) by Wehbe, Gioia Wahib

    Published 2016
    “…New technologies, such as Next-Generation Genome Sequencing, can now provide huge amounts of data in little time. Big initiatives such as the International Hapmap Project and the 1000 Genome project are making use of these technologies to provide the scientific community with a detailed genetic reference from different populations. …”
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  17. 97
    Predict Student Success and Performance factors by analyzing educational data using data mining techniques

    Predict Student Success and Performance factors by analyzing educational data using data mining techniques by ATIF, MUHAMMAD

    Published 2022
    Get full text
    Save to List
    Saved in:
  18. 98
    QU-GM: An IoT Based Glucose Monitoring System From Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning

    QU-GM: An IoT Based Glucose Monitoring System From Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning by Md Nazmul Islam Shuzan (21842426)

    Published 2024
    “…We collected PPG signals, demographic information, and blood pressure data from 139 diabetic (49.65%) and non-diabetic (50.35%) subjects. …”
    Save to List
    Saved in:
  19. 99
    Modeling and Guidance of an Underactuated Autonomous Underwater Vehicle

    Modeling and Guidance of an Underactuated Autonomous Underwater Vehicle by Wadi, Ali H M

    Published 2017
    Get full text
    doctoralThesis
    Save to List
    Saved in:
  20. 100
    Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller

    Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller by Sk. A., Shezan

    Published 2023
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:

Search Tools: