Wyniki wyszukiwania dla: NETWORKS, DEEP LEARNING

• Cluster-Dependent Feature Selection for the RBF Networks

  Publikacja

  • I. Czarnowski
  • P. Jędrzejowicz

  - Rok 2015

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• AGENT-BASED APPROACH TO THE DESIGN OF RBF NETWORKS

  Publikacja

  • I. Czarnowski
  • P. Jędrzejowicz

  - CYBERNETICS AND SYSTEMS - Rok 2013

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• RSVP-TE as a reservation protocol for optical networks

  Publikacja

  • S. Kaczmarek
  • M. Młynarczuk
  • M. Waldman

  - Rok 2010

  In this paper, we consider the reservation of optical resources problem. We implement extensions for RSVP-TE (Resource ReSerVation Protocol with Traffic Engineering Extension) to achieve the new functionality for optical resources reservation. Based on ASON/GMPLS architecture we examine an open source implementation KOM RSVP-Engine and extend its functionality according to ITU-T and IETF recommendations. The transport plane consists...

• Minimization of label usage in (G)MPLS networks

  Publikacja

  • A. Tomaszewski
  • M. Pioro

  - Rok 2009

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• COMPARATIVE ANALYSIS OF ACTIVE GEODETIC NETWORKS IN POLAND

  Publikacja

  • C. Specht
  • P. Dąbrowski

  - Rok 2017

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• DETERMINATION OF VERTICAL DISPLACEMENTS IN RELATIVE MONITORING NETWORKS

  Publikacja

  • D. Filipiak-Kowszyk
  • W. Kamiński

  - Archives of Civil Engineering - Rok 2020

  The problem of determining displacements of objects is an important and current issue, in particular in terms of operational safety. This is a requirement that covers geodetic, periodic control measurements in order to determine horizontal and vertical displacements. The paper is focused on the analysis of vertical displacements. Geodetic measurements and their interpretation allow to reduce the risk of possible structural catastrophes....

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• Assessment of Therapeutic Progress After Acquired Brain Injury Employing Electroencephalography and Autoencoder Neural Networks

  Publikacja

  • A. Kurowski
  • A. Czyżewski

  - Rok 2018

  A method developed for parametrization of EEG signals gathered from participants with acquired brain injuries is shown. Signals were recorded during therapeutic session consisting of a series of computer assisted exercises. Data acquisition was performed in a neurorehabilitation center located in Poland. The presented method may be used for comparing the performance of subjects with acquired brain injuries (ABI) who are involved...

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• Application of Bayesian Networks in risk diagnostics arising from the degree of urban regeneration area degradation

  Publikacja

  • M. Apollo
  • B. Grzyl
  • E. Miszewska

  - Rok 2017

  Urban regeneration as a complex project, generates many extremely specific threats affecting the increase of investment risk. Its unique nature causes that probability parameter, normally applied in the process of risk quantification, is extremely difficult to estimate. Due to lack of historical data urban regeneration related activities are therefore associated with uncertainty. According to the authors, a useful tool for resolving...

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• Spatio-temporal filtering for determination of common mode error in regional GNSS networks

  Publikacja

  • J. Bogusz
  • M. Gruszczynski
  • M. Figurski
  • A. Klos

  - Central European Journal of Geosciences - Rok 2015

  The spatial correlation between different stations for individual components in the regional GNSS networks seems to be significant. The mismodelling in satellite orbits, the Earth orientation parameters (EOP), largescale atmospheric effects or satellite antenna phase centre corrections can all cause the regionally correlated errors. This kind of GPS time series errors are referred to as common mode errors (CMEs). They are usually...

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• Project-Based Learning as a Method for Interdisciplinary Adaptation to Climate Change—Reda Valley Case Study

  Publikacja

  • D. Wróblewska
  • R. Okraszewska

  - Sustainability - Rok 2020

  The challenges of the global labour market require university authorities to extend traditional forms of education into more innovative and effective solutions. Project-based learning (PjBL) is one of highly effective methods for acquiring knowledge and teaching “soft” skills to future employees. This article describes an experimental use of PjBL at a university with a long history of teaching based on traditional methods—the Gdansk...

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• Prediction of maximum tensile stress in plain-weave composite laminates with interacting holes via stacked machine learning algorithms: A comparative study

  Publikacja

  • F. Bagherzadeh
  • T. Shafighfard
  • R. M. A. Khan
  • P. Szczuko
  • M. Mieloszyk

  - MECHANICAL SYSTEMS AND SIGNAL PROCESSING - Rok 2023

  Plain weave composite is a long-lasting type of fabric composite that is stable enough when being handled. Open-hole composites have been widely used in industry, though they have weak structural performance and complex design processes. An extensive number of material/geometry parameters have been utilized for designing these composites, thereby an efficient computational tool is essential for that purpose. Different Machine Learning...

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• Józef Woźniak prof. dr hab. inż.

  Osoby

  Katedra Teleinformatyki

  Prof. dr hab. inż. Józef Woźniak prof. zw. Politechniki Gdańskiej ukończył studia na Wydziale Elektroniki Politechniki Gdańskiej w 1971 r. W 1976 r. uzyskał stopień doktora nauk technicznych, a w 1991 r. stopień doktora habilitowanego w dyscyplinie telekomunikacja i specjalności teleinformatyka. W styczniu roku 2002 otrzymał tytuł profesora nauk technicznych. W 1994 r. został mianowany na stanowisko profesora nadzwyczajnego w Politechnice...

• Learning Communities-International Journal of Learning in Social Contexts

  Czasopisma

  ISSN: 1329-1440

• Flexible Knowledge–Vision–Integration Platform for Personal Protective Equipment Detection and Classification Using Hierarchical Convolutional Neural Networks and Active Leaning

  Publikacja

  • E. Szczerbicki
  • C. Silva de Oliveira
  • C. Sanin

  - CYBERNETICS AND SYSTEMS - Rok 2018

  This work is part of an effort to develop of a Knowledge-Vision Integration Platform for Hazard Control (KVIP-HC) in industrial workplaces, adaptable to a wide range of industrial environments. The paper focuses on hazards resulted from the non-use of personal protective equipment (PPE). The objective is to test the capability of the platform to adapt to different industrial environments by simulating the process of randomly selecting...

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• Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data

  Publikacja

  • R. W. Aslam
  • H. Shu
  • I. Naz
  • A. Quddoos
  • A. Yaseen
  • K. Gulshad
  • S. Saud Alarifi

  - Remote Sensing - Rok 2024

  Wetlands provide vital ecological and socioeconomic services but face escalating pressures worldwide. This study undertakes an integrated spatiotemporal assessment of the multifaceted vulnerabilities shaping Khinjhir Lake, an ecologically significant wetland ecosystem in Pakistan, using advanced geospatial and machine learning techniques. Multi-temporal optical remote sensing data from 2000 to 2020 was analyzed through spectral...

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• Iterative learning approach to active noise control of highly autocorrelated signals with applications to machinery noise

  Publikacja

  • A. Lasota
  • M. Meller

  - IET Signal Processing - Rok 2020

  This paper discusses the design and application of iterative learning control (ILC) and repetitive control (RC) for high modal density systems. Typical examples of these systems are structural and acoustical systems considered in active structural acoustic control (ASAC) and active noise control (ANC) applications. The application of traditional ILC and RC design techniques, which are based on a parametric system model, on systems...

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• Using Convolutional Neural Networks for Corneal Arcus Detection Towards Familial Hypercholesterolemia Screening

  Publikacja

  • T. Kocejko
  • J. Rumiński
  • M. Mazur-Milecka
  • M. Romanowska-Kocejko
  • K. Chlebus
  • J. Kang-Hyun

  - Journal of King Saud University-Computer and Information Sciences - Rok 2022

  Familial hypercholesterolemia (FH) is a highly undiagnosed disease. Among FH patients, the onset of premature coronary artery disease is 13 times higher than in the general population. Early diagnosis and treatment is essential to prevent cardiovascular diseases and their complications, and to prolong life. One of the clinical criteria of FH is the occurrence of a corneal arcus (CA) among patients, especially those under 45 years...

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• Formation of Protein Networks between Mucins: Molecular Dynamics Study Based on the Interaction Energy of the System

  Publikacja

  • N. Kruszewska
  • P. Bełdowski
  • P. Weber
  • S. Yuvan
  • M. Drechny
  • M. Kośmieja

  - ENERGIES - Rok 2019

  Molecular dynamics simulations have been performed for a model aqueous solution of mucin. As mucin is a central part of lubricin, a key component of synovial fluid, we investigate its ability to form cross-linked networks. Such network formation could be of major importance for the viscoelastic properties of the soft-matter system and crucial for understanding the lubrication mechanism in articular cartilage. Thus,the inter- and...

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• Mathematical Thinking and Learning

  Czasopisma

  ISSN: 1098-6065 , eISSN: 1532-7833

• Animal Learning and Behavior

  Czasopisma

  ISSN: 0090-4996

• Learning Environments Research

  Czasopisma

  ISSN: 1387-1579 , eISSN: 1573-1855

• Development and Learning in Organizations

  Czasopisma

  ISSN: 1477-7282

• Journal of Workplace Learning

  Czasopisma

  ISSN: 1366-5626 , eISSN: 1758-7859

• Information and Learning Science

  Czasopisma

  ISSN: 2398-5348

• Learning Media and Technology

  Czasopisma

  ISSN: 1743-9884 , eISSN: 1743-9892

• Journal of Learning Styles

  Czasopisma

  ISSN: 2332-8533

• Journal of Teaching and Learning

  Czasopisma

  ISSN: 1492-1154 , eISSN: 1911-8279

• Language Learning and Development

  Czasopisma

  ISSN: 1547-5441 , eISSN: 1547-3341

• Journal of Learning Design

  Czasopisma

  ISSN: 1832-8342

• Journal of Peer Learning

  Czasopisma

  ISSN: 2200-2359

• International Journal of Learning

  Czasopisma

  ISSN: 1447-9494

• Technology Knowledge and Learning

  Czasopisma

  ISSN: 2211-1662 , eISSN: 2211-1670

• Online Learning Journal

  Czasopisma

  ISSN: 2472-5730

• English Teaching and Learning

  Czasopisma

  ISSN: 1023-7267 , eISSN: 2522-8560

• Research in Learning Technology

  Czasopisma

  ISSN: 2156-7069 , eISSN: 2156-7077

• Learning Health Systems

  Czasopisma

  ISSN: 2379-6146

• Teaching and Learning in Nursing

  Czasopisma

  ISSN: 1557-3087 , eISSN: 1557-2013

• npj Science of Learning

  Czasopisma

  eISSN: 2056-7936

• Journal of the Learning Sciences

  Czasopisma

  ISSN: 1050-8406 , eISSN: 1532-7809

• Journal of Learning Analytics

  Czasopisma

  eISSN: 1929-7750

• Smart Learning Environments

  Czasopisma

  eISSN: 2196-7091

• Frontline Learning Research

  Czasopisma

  eISSN: 2295-3159

• Psychology of Learning and Motivation (The)

  Czasopisma

  ISSN: 0079-7421

• JOURNAL OF LEARNING DISABILITIES

  Czasopisma

  ISSN: 0022-2194 , eISSN: 1538-4780

• LEARNING AND INDIVIDUAL DIFFERENCES

  Czasopisma

  ISSN: 1041-6080 , eISSN: 1873-3425

• Journal of Learning for Development

  Czasopisma

  eISSN: 2311-1550

• NEUROBIOLOGY OF LEARNING AND MEMORY

  Czasopisma

  ISSN: 1074-7427 , eISSN: 1095-9564

• LEARNING DISABILITY QUARTERLY

  Czasopisma

  ISSN: 0731-9487 , eISSN: 2168-376X

• Investigations in Mathematics Learning

  Czasopisma

  ISSN: 1947-7503 , eISSN: 2472-7466

• TEACHING AND LEARNING IN MEDICINE

  Czasopisma

  ISSN: 1040-1334 , eISSN: 1532-8015