Search alternatives:
mining algorithm » cosine algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
element » elements (Expand Search)
Showing 461 - 480 results of 693 for search '(((( data mining algorithm ) OR ( data using algorithm ))) OR ( element data algorithm ))', query time: 0.12s Refine Results
  1. 461
    Face Flow: Constrained Optical Flow Framework for Faces

    Face Flow: Constrained Optical Flow Framework for Faces by Alkaddour, Muhannad

    Published 2020
    Get full text
    doctoralThesis
    Save to List
    Saved in:
  2. 462
    An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization

    An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization by Majdi Mansouri (16869885)

    Published 2022
    “…The main idea behind the use of the PSO algorithm is to remove irrelevant features and extract only the most significant ones from raw data in order to improve the classification task using a neural networks classifier. …”
    Save to List
    Saved in:
  3. 463
    Security in wire/wireless networks: sniffing attacks prevention/detection techniques in LAN networks & the effect on biometric technology

    Security in wire/wireless networks: sniffing attacks prevention/detection techniques in LAN networks & the effect on biometric technology by Al-Hemairy, Moh'd Hussain

    Published 2010
    “…Accordingly security threats and data banks attacks turn out to be a phenomenon. Thus, granting protection to such crucial information becomes a high demand. …”
    Get full text
    Save to List
    Saved in:
  4. 464
    High-order parametrization of the hypergeometric-Meijer approximants

    High-order parametrization of the hypergeometric-Meijer approximants by Abouzeid M. Shalaby (16329062)

    Published 2023
    “…To solve this problem, we formulate an equivalent (order by order) linear set of equations which is easy to solve in an appropriate time using normal PCs. We also show that such extension of the hypergeometric resummation algorithm is able to employ non-perturbative information like strong-coupling and large-order asymptotic data which are always used to accelerate the convergence. …”
    Save to List
    Saved in:
  5. 465
    Recovery of business intelligence systems

    Recovery of business intelligence systems by Haraty, Ramzi A.

    Published 2018
    “…The efficiency of the data recovery algorithm is substantial for e-healthcare systems. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  6. 466
    Phased Array Technique for Brain Source Localization

    Phased Array Technique for Brain Source Localization by Zarghami, Tahereh

    Published 2012
    Get full text
    doctoralThesis
    Save to List
    Saved in:
  7. 467
    A forward-backward Kalman for the estimation of time-variant channels in OFDM

    A forward-backward Kalman for the estimation of time-variant channels in OFDM by Al-Naffouri, T.Y.

    Published 2005
    “…In this paper, we propose an expectation-maximization (EM) algorithm for joint channel and data recovery. The algorithm makes use of the rich structure of the underlying communication problem-a structure induced by the data and channel constraints. …”
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  8. 468
    Shuffled Linear Regression with Erroneous Observations

    Shuffled Linear Regression with Erroneous Observations by Saab, Samer S.

    Published 2019
    “…Existing methods are either applicable only to data with limited observation errors, work only for partially shuffled data, sensitive to initialization, and/or work only with small dimensions. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
    Save to List
    Saved in:
  9. 469
    Benchmarking Concept Drift Detectors for Online Machine Learning

    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
    Save to List
    Saved in:
  10. 470
    Clustering Tweets to Discover Trending Topics about دبي (Dubai)

    Clustering Tweets to Discover Trending Topics about دبي (Dubai) by ALYALYALI, SALAMA KHAMIS SALEM KHAMIS

    Published 2018
    “…Then, creating a word vector to the tweets by using TF-IDF methodology. After this, log results into k- mean clustering algorithm with cosine similarity to measure similarity between objects of each cluster. …”
    Get full text
    Save to List
    Saved in:
  11. 471
    An EM-Based Forward-Backward Kalman Filter for the Estimation of Time-Variant Channels in OFDM

    An EM-Based Forward-Backward Kalman Filter for the Estimation of Time-Variant Channels in OFDM by Al-Naffouri, T.Y.

    Published 0000
    “…The algorithm makes a collective use of the data and channel constraints inherent in the communication problem. …”
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  12. 472
    Edge intelligence for network intrusion prevention in IoT ecosystem

    Edge intelligence for network intrusion prevention in IoT ecosystem by Mansura, Habiba

    Published 2023
    “…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …”
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  13. 473
    PERF solutions for distributed query optimization. (c1999)

    PERF solutions for distributed query optimization. (c1999) by Fany, Roula

    Published 1999
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  14. 474
    A new estimator and approach for estimating the subpopulation parameters

    A new estimator and approach for estimating the subpopulation parameters by Mohammad Salehi M. (21259490)

    Published 2021
    “…The criterion shows that the traditional total subpopulation estimator for unknown subpopulation size will be more efficient if the subpopulation mean is close to zero. Using an innovative procedure, we develop a new estimator, and we study its properties using real data. …”
    Save to List
    Saved in:
  15. 475
    Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR)

    Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR) by Elaine Beller (44602)

    Published 2018
    “…Recent advances in natural language processing, text mining and machine learning have produced new algorithms that can accurately mimic human endeavour in systematic review activity, faster and more cheaply. …”
    Save to List
    Saved in:
  16. 476
    Deep Reinforcement Learning for Resource Constrained HLS Scheduling

    Deep Reinforcement Learning for Resource Constrained HLS Scheduling by Makhoul, Rim

    Published 2022
    “…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …”
    Get full text
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  17. 477
    Starvation Problem in CPU Scheduling for Multimedia Systems

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

    Published 2002
    “…Multimedia applications have timing requirements that cannot generally be satisfied using the time-sharing algorithms of general-purpose operating systems. …”
    Get full text
    article
    Save to List
    Saved in:
  18. 478
    Edge intelligence for network intrusion prevention in IoT ecosystem

    Edge intelligence for network intrusion prevention in IoT ecosystem by Mansura Habiba (17808302)

    Published 2023
    “…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …”
    Save to List
    Saved in:
  19. 479
    Positive Unlabelled Learning to Recognize Dishes as Named Entity

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

    Published 2019
    “…I work with Yelp dataset, going through each text review, using each noun as a candidate, label the positive samples using the aforementioned lookup table, then using Positive Unlabelled learning techniques to recognise more entities within the unlabelled data, by predicting the probability for each candidate. …”
    Get full text
    Save to List
    Saved in:
  20. 480
    NEURAL NETWORK MODEL FOR PLANNED REPLACEMENT OF BOEING 737 BRAKES

    NEURAL NETWORK MODEL FOR PLANNED REPLACEMENT OF BOEING 737 BRAKES by Al-Garni, Ahmed Z.

    Published 2020
    “…Three years of data are used for model building and validation. …”
    Get full text
    article
    Save to List
    Saved in:

Search Tools: