Wyniki wyszukiwania dla: VOWELS DETECTION

• CANCER DETECTION AND PREVENTION

  Czasopisma

  ISSN: 0361-090X

• Biomolecular Detection and Quantification

  Czasopisma

  eISSN: 2214-7535

• Feature type and size selection for adaboost face detection algorithm

  Publikacja

  • J. Dembski

  - Rok 2010

  The article presents different sets of Haar-like features defined for adaptive boosting (AdaBoost) algorithm for face detection. Apart from a simple set of pixel intensity differences between horizontally or vertically neighboring rectangles, the features based on rotated rectangles are considered. Additional parameter that limits the area on which the features are calculated is also introduced. The experiments carried out on...

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• Detection of the Incoming Sound Direction Employing MEMS Microphones and the DSP

  Publikacja

  • G. Szwoch
  • J. Kotus

  - Rok 2017

  A 3D acoustic vector sensor based on MEMS microphones and its application to road traffic monitoring is presented in the paper. The sensor is constructed from three pairs of digital MEMS microphones, mounted on the orthogonal axes. Signals obtained from the microphones are used to compute sound intensity vectors in each direction. With this data, it is possible to compute the horizontal and vertical angle of an incoming sound....

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• Radiation Detection Technology and Methods

  Czasopisma

  ISSN: 2509-9930 , eISSN: 2509-9949

• Strategic Direction

  Czasopisma

  ISSN: 0258-0543

• Bees Detection on Images: Study of Different Color Models for Neural Networks

  Publikacja

  • J. Dembski
  • J. Szymański

  - Rok 2019

  This paper presents an approach to bee detection in video streams using a neural network classifier. We describe the motivation for our research and the methodology of data acquisition. The main contribution to this work is a comparison of different color models used as an input format for a feedforward convolutional architecture applied to bee detection. The detection process has is based on a neural binary classifier that classifies...

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• Gender approach to multi-objective optimization of detection systems by pre-selection of criteria

  Publikacja

  • Z. Kowalczuk
  • T. Białaszewski

  - Rok 2013

  A novel idea of performing evolutionary computations for solving highly-dimensional multi-objective optimization (MOO) problems is proposed. The information about individual genders is applied. This information is drawn out of the fitness of individuals and applied during the parental crossover in the evolutionary multi-objective optimization (EMO) processes. The paper introduces the principles of the genetic-gender approach (GGA)...

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• Gender approach to multi-objective optimization of detection systems by pre-selection of criteria

  Publikacja

  • Z. Kowalczuk
  • T. Białaszewski

  - Rok 2014

  A novel idea of performing evolutionary computations for solving highly-dimensional multi-objective optimization (MOO) problems is proposed. The information about individual genders is applied. This information is drawn out of the fitness of individuals and applied during the parental crossover in the evolutionary multi-objective optimization (EMO) processes. The paper introduces the principles of the genetic-gender approach (GGA)...

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• Gender approach to multi-objective optimization of detection systems by pre-selection of criteria

  Publikacja

  • Z. Kowalczuk
  • T. Białaszewski

  - Advances in Intelligent Systems and Computing - Rok 2014

  A novel idea of performing evolutionary computations for solving highly-dimensional multi-objective optimization (MOO) problems is proposed. The information about individual genders is applied. This information is drawn out of the fitness of individuals and applied during the parental crossover in the evolutionary multi-objective optimization (EMO) processes. The paper introduces the principles of the genetic-gender approach (GGA)...

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