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18 results with keyword: 'classification of power disturbances using multilevel support vector machine'

Classification of power disturbances using multilevel support vector Machine

This paper proposes a new approach for the classification of the power system disturbances using Wavelet-Multi resolution Decomposition and multi-level Support Vector Machine

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2020
International Journal of Dental Science and Innovative Research (IJDSIR) IJDSIR : Dental Publication Service Available Online at:

404 – 411 P age 404 Evaluation of the Size of Sella Tursica in Skeletal Class II Patients In South Indian Population- A Cephalometric Study.. 1 Joseph Abraham, Post Graduate

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2022
Classification of Power Quality Disturbances at Transmission System Using Support Vector Machines

In this paper, S-transform is used to extract distinctive features of real data from transmission system, and Support Vector Machine was utilized to classify four types PQ

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2022
Document Classification Using Support Vector Machine

This research paper discuss in detail the implementation of Support Vector Machine (SVM) for calculating term frequency of the features used as Sports, Business and Entertainment

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2020
Performance Comparison of Variational Mode Decomposition over Empirical Wavelet Transform for the Classification of Power Quality Disturbances Using Support Vector Machine

This work considers the classification of power quality disturbances based on VMD (Variational Mode Decomposition) and EWT (Empirical Wavelet Transform) using SVM (Support

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2021
Designing localized MPPT for PV systems using fuzzy-weighted extreme learning machine

Keywords: maximum power point tracker; solar irradiance classification system; extreme learning machine; support vector

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2019
Document Text Classification Using Support Vector Machine

Text categorization is a wide domain to make machine able to understand and organize the document (text, document), as a part of Natural Language Processing that focus to make

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2020
Soft and energy-efficient robotic capture of tumbling spacecrafts

In [48] a novel method has been presented for the capture of a non-collaborative spacecraft with a redundant space manipulator using (i) a reactionless motion

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2019
Brain Tumor Classification using Support Vector Machine

OBJECT BASED IMAGE SELECTION : The complete images are not feasible to classify, hence the object based i.e., the image, which consists tumor, are selected for further

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2020
Indian Monuments Classification using Support Vector Machine

Color information is obtained through histograms, an area information is added into feature vector using generalized co-occurrence matrix using different distance and

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2022
Foreign trade  Ostblock/Block oriental 1, 1968

a) lnkl.. b) D1e Kuba betreffenden Zahlen smd m der Summe ,SoZlahsllsches Lager" erst ab 1962 enthalten. Les donnees concernant Cuba ne sont contenues dans Ia somme

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2020
Solicitation Title: Satellite Lift Station R&R 2020 Group 1 Addendum Date: September 9, 2020 Procurement Contact: Abigail Jenkins

SECTION B, REVISED APPENDIX K, ELECTRONIC BID PRICING FORM Replace Revised Electronic Appendix K, Bid Pricing Form, with the Revised Electronic Appendix K, Bid Pricing Form

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2021
Email Spam Classification Using Support Vector Machine Algorithm

Internet has turned into a vital and fundamental part of human life. The expansion in the use of internet has expanded the quantity of record holders over different social sites.

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2020
Identification of materials through SVM classification of their LIBS spectra

Support vector Machine Classification of Suspect Powders Using Laser- Induced Breakdown Spectroscopy (LIBS) spectral data. Journal

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2020
Recognition of Facial Expressions in Image Sequence using Multi-Class SVM

S., “Features classification using geometrical deformation feature vector of support vector machine and active appearance algorithm for automatic facial expression

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2020
Attribute Based Face Classification Using Support Vector Machine

Subset evaluation method with bestfirst function is used for attribute selection, based on the method 12 attributes are selected for classification task.. For each people

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2020
Breast Cancer Detection using Support Vector Machine

Texture classification using fractal textures, classification using nonlinear quantization and support vector machine were used for classification approach [4], [7]-[11].Texture

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2020
New Advance of Feature Extraction Algorithm for FER

Features classification using geometrical deformation feature vector of support vector machine and active appearance algorithm for automatic facial

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2020

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