Wyniki wyszukiwania dla: SUPPORT VECTOR MACHINE

• Support Vector Machine Applied to Road Traffic Event Classification

  Publikacja

  • M. Blaszke
  • B. Kostek

  - MATEC Web of Conferences - Rok 2018

  The aim of this paper is to present results of road traffic event signal recognition. First, several types of systems for road traffic monitoring, including Intelligent Transport System (ITS) are shortly described. Then, assumptions of creating a database of vehicle signals recorded in different weather and road conditions are outlined. Registered signals were edited as single vehicle pass by. Using the Matlab-based application...

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• Dangerous sound event recognition using Support Vector Machine classifiers

  Publikacja

  • K. Łopatka
  • P. Żwan
  • A. Czyżewski

  - Rok 2010

  A method of recognizing events connected to danger based on their acoustic representation through Support Vector Machine classification is presented. The method proposed is particularly useful in an automatic surveillance system. The set of 28 parameters used in the classifier consists of dedicated parameters and MPEG-7 features. Methods for parameter calculation are presented, as well as a design of SVM model used for classification....

• Neural Networks, Support Vector Machine and Genetic Algorithms for Autonomous Underwater Robot Support

  Publikacja

  • J. Balicki
  • J. Masiejczyk
  • P. Przybecki
  • M. Zadroga

  - Rok 2014

  In this paper, artificial neural networks, a classification technique called support vector machine and meta-heuristics genetic algorithm have been considered for development in autonomous underwater robots. Artificial neural networks have been used for seabed modelling as well as support vector machine has been applied for the obstacles classification to avoid some collision problems. Moreover, genetic algorithm has been applied...

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• Text Documents Classification with Support Vector Machines

  Publikacja

  • P. Majewski

  - Rok 2008

• Support Vector Machines in Biomedical and Biometrical Applications

  Publikacja

  • K. Cyran
  • J. Kawulok
  • M. Kawulok
  • M. Stawarz
  • M. Michalak
  • M. Pietrowska
  • P. Widłak
  • J. Polańska
  • J. Polanska

  - Rok 2013

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• RSS-Based DoA Estimation for ESPAR Antennas Using Support Vector Machine

  Publikacja

  • M. Tarkowski
  • Ł. Kulas

  - IEEE Antennas and Wireless Propagation Letters - Rok 2019

  In this letter, it is shown how direction-of-arrival (DoA) estimation for electronically steerable parasitic array radiator (ESPAR) antennas, which are designed to be integrated within wireless sensor network nodes, can be improved by applying support vector classification approach to received signal strength (RSS) values recorded at an antenna's output port. The proposed method relies on ESPAR antenna's radiation patterns measured...

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• Application of Support Vector Machine for Determination of Impact of Traffic-Induced Vibrations on Buildings

  Publikacja

  • A. Jakubczyk-Gałczyńska
  • A. Kristowski
  • R. Jankowski

  - Advances in Intelligent Systems and Computing - Rok 2018

  The aim of the article is to present an algorithm of Support Vector Machine created to forecast the impact of traffic-induced vibrations on residential buildings. The method is designed to classify the object into one of two classes. The classification into the first class means that there is no impact of vibrations on the building, while classification to the second class indicates the possible influence and suggests the execution...

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• A novel hybrid adaptive framework for support vector machine-based reliability analysis: A comparative study

  Publikacja

  • S. Yang
  • Z. He
  • J. Chai
  • D. Meng
  • W. Macek
  • R. Branco
  • S. Zhu

  - Structures - Rok 2023

  This study presents an innovative hybrid Adaptive Support Vector Machine - Monte Carlo Simulation (ASVM-MCS) framework for reliability analysis in complex engineering structures. These structures often involve highly nonlinear implicit functions, making traditional gradient-based first or second order reliability algorithms and Monte Carlo Simulation (MCS) time-consuming. The application of surrogate models has proven effective...

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• Prediction of Overall In Vitro Microsomal Stability of Drug Candidates Based on Molecular Modeling and Support Vector Machines. Case Study of Novel Arylpiperazines Derivatives

  Publikacja

  • S. Ulenberg
  • M. Belka
  • M. Król
  • F. Herold
  • W. Hewelt-Belka
  • A. Kot-Wasik
  • T. Bączek

  - PLOS ONE - Rok 2015

  Other than efficacy of interaction with the molecular target, metabolic stability is the primary factor responsible for the failure or success of a compound in the drug development pipeline. The ideal drug candidate should be stable enough to reach its therapeutic site of action. Despite many recent excellent achievements in the field of computational methods supporting drug metabolism studies, a well-recognized procedure to model...

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• Bearing testing machine with rotating load vector.

  Publikacja

  • J. Sikora

  - Journal of KONES - Rok 2002

  W pracy przedstawiono koncepcję konstrukcyjną i prototyp stanowiska badawczego z wirująca reakcją łożyskową przeznaczonego do testowania wytrzymałości zmęczeniowej warstw ślizgowych w łożyskach poprzecznych. Konstrukcja i przeznaczenie maszyny zbudowanej w laboratorium tribologicznym Politechniki Gdańskiej jest zgodna z zaleceniami normy ISO 7905. Przeanalizowano zalety i wady maszyny badawczej o takim wzorcu obciążenia testującego.