Search results for: PANEL DATA ANALYSIS

• Evidence for solid state electrochemical degradation within a small molecule OLED

  Publication

  • P. Data
  • A. Swist
  • M. Lapkowski
  • J. Soloduchno
  • K. Darowicki
  • A. P. Monkman

  - ELECTROCHIMICA ACTA - Year 2015

  Acridone derivative have been synthesised and used as OLED (Organic Light Emitting Diode) emitters which were found to be electroactive. Electrochemical investigations showed a side reaction takes place inside an active layer which diminished the overall device efficiency. By using a dopant and host active layer architecture, the formation of the by product was removed. The by-product was identified as a σ-dimer formed inside an...

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• ArchBGal32cB 441Glu mutein gene analysis dataset

  Open Research Data

  open access

  • H. Cieśliński
  • M. Wanarska
  • A. Bujacz
  • M. Rutkiewicz
  • A. Wierzbicka-Woś
  • K. Kozłowska-Tylingo

   

• Floodplain inundation Mapping using SAR Scattering Coefficient Thresholding and Observed Discharge Data

  Publication

  • T. E. Berezowski
  • T. Bieliński
  • J. Osowicki

  - Year 2019

  Inundation area time series are important for wetlands monitoring and hydrological model validation. This study is conducted in Biebrza floodplain, which is a natural wetland with complex inundation generation processes. In order to map 2014-2018 series of inundation in the floodplain we test our automatic thresholding method on Sentinel 1 data. The threshold value is optimized using correlation of the inundation area with observed...

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• Decision analysis (l/lab)_STACJ._winter 2021/22

  e-Learning Courses

  • B. Woliński

• Three-dimensional mapping for data collected using variable stereo baseline

  Publication

  • Z. Kowalczuk
  • T. Merta

  - Year 2016

  The paper describes a system of 3D mapping of data collected with due regard for variable baseline. This solution constitute an extension to a VisRobot sub-system developed as a subsystem, necessary for implementing the generic idea of using mobile robots to explore an indoor static environment. This subsystem is to acquire stereo images, calculate the depth in the images and construct the sought 3D map. Stereo images are obtained...

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• Application Of Generative Adversarial Network for Data Augmentation and Multiplication to Automated Cell Segmentation of the Corneal Endothelium

  Publication

  • K. Nurzyńska
  • K. Jandy
  • P. Weichbroth

  - Year 2024

  Considering the automatic segmentation of the endothelial layer, the available data of the corneal endothelium is still limited to a few datasets, typically containing an average of only about 30 images. To fill this gap, this paper introduces the use of Generative Adversarial Networks (GANs) to augment and multiply data. By using the ``Alizarine'' dataset, we train a model to generate a new synthetic dataset with over 513k images....

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• Use of Sensory Analysis Methods to Evaluate the Odor of Food and Outside Air

  Publication

  • P. Kolasińska
  • T. Dymerski
  • J. Namieśnik

  - CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY - Year 2015

  Sensory analysis is applied in many areas of daily life. It is used to carry out the sensory evaluation of foodstuffs or other products and to evaluate the properties of odors present in the environment. The authors attempt to summarize the knowledge on the classification and application of sensory analysis methods to evaluate the odor nuisance of air, which allows the identification of sensory impressions and determination of...

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• Choosing Exploration Process Path in Data Mining Processes for Complex Internet Objects

  Publication

  • T. Zawadzka
  • W. Waloszek

  - Advances in Intelligent Systems and Computing - Year 2020

  We present an experimental case study of a novel and original framework for classifying aggregate objects, i.e. objects that consist of other objects. The features of the aggregated objects are converted into the features of aggregate ones, by use of aggregate functions. The choice of the functions, along with the specific method of classification can be automated by choosing of one of several process paths, and different paths...

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• Choosing Exploration Process Path in Data Mining Processes for Complex Internet Objects

  Publication

  • T. Zawadzka
  • W. Waloszek

  - Year 2020

  We present an experimental case study of a novel and original framework for classifying aggregate objects, i.e. objects that consist of other objects. The features of the aggregated objects are converted into the features of aggregate ones, by use of aggregate functions. The choice of the functions, along with the specific method of classification can be automated by choosing of one of several process paths, and different paths...

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• XLS file with the initial data on the dome's geometry outline

  Open Research Data

  embargo

  • K. Winkelmann

  This dataset consists of an XLS file with the initial data on the dome's geometry outline.

• A model, design, and implementation of an efficient multithreaded workflow execution engine with data streaming, caching, and storage constraints

  Publication

  • P. Czarnul

  - JOURNAL OF SUPERCOMPUTING - Year 2013

  The paper proposes a model, design, and implementation of an efficient multithreaded engine for execution of distributed service-based workflows with data streaming defined on a per task basis. The implementation takes into account capacity constraints of the servers on which services are installed and the workflow data footprint if needed. Furthermore, it also considers storage space of the workflow execution engine and its cost....

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• Starogard Gdański 2019, Lubichowska - Pomorska street - video data - pedestrian, bicycles, vehicles

  Open Research Data

  open access

  • Ł. Jeliński
  • K. Jamroz
  • W. Kustra
  • D. Bytner

  - series: Starogard Gdański 2019 - video data - pedestrian, bicycles, vehicles

  The data contain video traffic data (pedestrian, cyclists, vehicles) registered at Lubichowska  street. Date 06.2019, 6:00-18:00. The video camera was installed around intersections at Lubichowska and Pomorska street. Camera was mounted on 7-meter-high mast.

• Starogard Gdański 2019, Pomorska - Pelplińska street - video data - pedestrian, bicycles, vehicles

  Open Research Data

  open access

  • Ł. Jeliński
  • K. Jamroz
  • W. Kustra
  • D. Bytner

  - series: Starogard Gdański 2019 - video data - pedestrian, bicycles, vehicles

  The data contain video traffic data (pedestrian, cyclists, vehicles) registered at Pomorska  street. Date 13.06.2019, 6:00-18:00. The video camera was installed around intersections at Pomorska and Pelplińska street. Camera was mounted on 7-meter-high mast.

• Values and problems analysis – Gdańsk-Lower City (Dolne Miasto) district case study, study proposal no 1, March 2021

  Open Research Data

  open access

  • J. Borucka
  • Ł. Bugalski
  • W. Mazurkiewicz
  • K. Balcerak
  • K. Bartkowski
  • S. Bartosiak
  • T. Okoński

  - series: Studies of the development possibilities of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district

  The data presents results of work within the studies of the development possibilities of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district, study proposal no 1, from March 2021. The goal of the research process was to present the values and problems analysis of the area located in Gdańsk-Lower City (Dolne Miasto) district...

• Values and problems analysis – Gdańsk-Lower City (Dolne Miasto) district case study, study proposal no 3, March 2021

  Open Research Data

  open access

  • J. Borucka
  • Ł. Bugalski
  • W. Mazurkiewicz
  • N. Kamińska
  • Z. Müller
  • B. Niemkiewicz
  • K. Stasik

  - series: Studies of the development possibilities of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district

  The data presents results of work within the studies of the development possibilities of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district, study proposal no 3, from March 2021. The goal of the research process was to present the values and problems analysis of the area located in Gdańsk-Lower City (Dolne Miasto) district...

• Values and problems analysis – Gdańsk-Lower City (Dolne Miasto) district case study, study proposal no 2, March 2021

  Open Research Data

  open access

  • J. Borucka
  • Ł. Bugalski
  • W. Mazurkiewicz
  • Z. Deryło
  • K. Galikowska
  • W. Glanc
  • J. Hertmaniuk

  - series: Studies of the development possibilities of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district

  The data presents results of work within the studies of the development possibilities of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district, study proposal no 2, from March 2021. The goal of the research process was to present the values and problems analysis of the area located in Gdańsk-Lower City (Dolne Miasto) district...

• Seafloor characterisation using multibeam data: sonar image properties, seabed surface properties and echo properties

  Publication

  • Z. Łubniewski

  - HYDROACOUSTICS - Year 2011

  In the paper, the approach to seafloor characterisation is presented. The multibeam sonars, besides their well verified and widely used applications like high resolution bathymetry and underwater object detection and imaging, are also the promising tool in seafloor characterization and classification, having several advantages over conventional single beam echosounders. The proposed approach relies on the combined, concurrent use...

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• Simulation of Direct-Sequence Spread Spectrum Data Transmission System for Reliable Underwater Acoustic Communications

  Publication

  • I. Kochańska
  • J. Schmidt

  - Vibrations in Physical Systems - Year 2019

  Underwater acoustic communication (UAC) system designers tend to transmit as much information as possible, per unit of time, at as low as possible error rate. It is a particularly difficult task in a shallow underwater channel in which the signal suffers from strong time dispersion due to multipath propagation and refraction phenomena. The direct-sequence spread spectrum technique (DSSS) applied successfully in the latest standards...

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• INFLUENCE OF DATA NORMALIZATION ON THE EFFECTIVENESS OF NEURAL NETWORKS APPLIED TO CLASSIFICATION OF PAVEMENT CONDITIONS – CASE STUDY

  Publication

  • K. Marciniuk
  • B. Kostek

  - Zeszyty Naukowe Wydziału ETI Politechniki Gdańskiej. Technologie Informacyjne - Year 2018

  In recent years automatic classification employing machine learning seems to be in high demand for tele-informatic-based solutions. An example of such solutions are intelligent transportation systems (ITS), in which various factors are taken into account. The subject of the study presented is the impact of data pre-processing and normalization on the accuracy and training effectiveness of artificial neural networks in the case...

• Data set generation at novel test-rig for validation of numerical models for modeling granular flows

  Publication

  • A. Widuch
  • K. Myöhänen
  • M. Nikku
  • M. L. Nowak
  • A. Klimanek
  • W. Adamczyk

  - INTERNATIONAL JOURNAL OF MULTIPHASE FLOW - Year 2021

  Significant effort has been exerted on developing fast and reliable numerical models for modeling particulate flow; this is challenging owing to the complexity of such flows. To achieve this, reliable and high-quality experimental data are required for model development and validation. This study presents the design of a novel test-rig that allows the visualization and measurement of particle flow patterns during the collision...

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• Data, Information, Knowledge, Wisdom Pyramid Concept Revisited in the Context of Deep Learning

  Publication

  • B. Kostek

  - Year 2023

  In this paper, the data, information, knowledge, and wisdom (DIKW) pyramid is revisited in the context of deep learning applied to machine learningbased audio signal processing. A discussion on the DIKW schema is carried out, resulting in a proposal that may supplement the original concept. Parallels between DIWK pertaining to audio processing are presented based on examples of the case studies performed by the author and her collaborators....

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• Optimization of Data Assignment for Parallel Processing in a Hybrid Heterogeneous Environment Using Integer Linear Programming

  Publication

  • T. M. Boiński
  • P. Czarnul

  - COMPUTER JOURNAL - Year 2021

  In the paper we investigate a practical approach to application of integer linear programming for optimization of data assignment to compute units in a multi-level heterogeneous environment with various compute devices, including CPUs, GPUs and Intel Xeon Phis. The model considers an application that processes a large number of data chunks in parallel on various compute units and takes into account computations, communication including...

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• On the Handling of Outliers in the GNSS Time Series by Means of the Noise and Probability Analysis

  Publication

  • A. Klos
  • J. Bogusz
  • M. Figurski
  • W. Kosek

  - Central European Journal of Geosciences - Year 2015

  The data pre-analysis plays a significant role in the noise determination. The most important issue is to find an optimum criterion for outliers removal, since their existence can affect any further analysis. The noises in the GNSS time series are characterized by spectral index and amplitudes that can be determined with a few different methods. In this research, the Maximum Likelihood Estimation (MLE) was used. The noise amplitudes...

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• Analysis of radiometric signal in sedimentating suspension flow in open channel

  Publication

  • M. Zych
  • R. Hanus
  • L. Petryka
  • D. Świsulski
  • M. Doktor
  • W. Mastej

  - Year 2014

  The article discusses issues related to the estimation of the sedimentating solid particles average flow velocity in an open channel using radiometric methods. Due to the composition of the compound, which formed water and diatomite, received data have a very weak signal to noise ratio. In the process analysis the known determining of the solid phase transportation time delay the classical cross-correlation function is the most...

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• Image Analysis and Stereology

  Journals

  ISSN: 1580-3139

• COMMUNICATIONS IN ANALYSIS AND GEOMETRY

  Journals

  ISSN: 1019-8385 , eISSN: 1944-9992

• REAL ANALYSIS EXCHANGE

  Journals

  ISSN: 0147-1937 , eISSN: 1930-1219

• Behavior Analysis in Practice

  Journals

  ISSN: 1998-1929 , eISSN: 2196-8934

• Journal of Legal Analysis

  Journals

  ISSN: 1946-5319 , eISSN: 2161-7201

• Drug Testing and Analysis

  Journals

  ISSN: 1942-7603 , eISSN: 1942-7611

• Journal of Topology and Analysis

  Journals

  ISSN: 1793-5253 , eISSN: 1793-7167

• International Journal of Analysis

  Journals

  ISSN: 2314-498X , eISSN: 2314-4998

• Economic Analysis and Policy

  Journals

  ISSN: 0313-5926

• Communications in Applied Analysis

  Journals

  ISSN: 1083-2564

• Defence and Security Analysis

  Journals

  ISSN: 1475-1798 , eISSN: 1475-1801

• Journal of Logic and Analysis

  Journals

  ISSN: 1759-9008

• Annals of Functional Analysis

  Journals

  ISSN: 2008-8752

• Nonlinear Analysis Forum

  Journals

  ISSN: 1226-7228

• Journal of Mathematical Analysis

  Journals

  ISSN: 2217-3412

• Foreign Policy Analysis

  Journals

  ISSN: 1743-8586 , eISSN: 1743-8594

• SPECTROSCOPY AND SPECTRAL ANALYSIS

  Journals

  ISSN: 1000-0593

• Analysis of Verbal Behavior

  Journals

  ISSN: 0889-9401 , eISSN: 2196-8926

• Analysis and Mathematical Physics

  Journals

  ISSN: 1664-2368 , eISSN: 1664-235X

• Journal of Analysis and Testing

  Journals

  ISSN: 2096-241X , eISSN: 2509-4696

• Journal of Complex Analysis

  Journals

  ISSN: 2314-4963 , eISSN: 2314-4971

• Communications on Stochastic Analysis

  Journals

  ISSN: 0973-9599

• Critical Housing Analysis

  Journals

  eISSN: 2336-2839

• Metallography Microstructure and Analysis

  Journals

  ISSN: 2192-9262 , eISSN: 2192-9270

• Review of Economic Analysis

  Journals

  ISSN: 1973-3909

• Communications in Mathematical Analysis

  Journals

  eISSN: 1938-9787