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Search results for: DATASET FEATURES, DATASET PROFILING VOCABULARIES
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Increasing the conductivity of v2o5-teo2 glass by crystallization: structure and charge transfer studies
Open Research DataThis is the dataset concerning the publication titled: Increasing the conductivity of V2O5-TeO2 glass by crystallization: structure and charge transfer studies. In this dataset raw data and origin project concerning this article can be found.
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The TPO oxidation profile of CeO2/10wt.%Cu without BCD - prereduced
Open Research DataThe dataset includes the TPO oxidation profiles of CeO2/10wt.%Cu. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes oxidation profile of the prereduced sample.
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The TPO oxidation profile of CeO2/10wt.%Mn without BCD - prereduced
Open Research DataThe dataset includes the TPO oxidation profiles of CeO2/10wt.%Mn. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes oxidation profile of the prereduced sample.
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The TPO oxidation profile of CeO2/10wt.%Co without BCD - prereduced
Open Research DataThe dataset includes the TPO oxidation profiles of CeO2/10wt.%Co. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes oxidation profile of the prereduced sample.
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The TPO oxidation profile of CeO2/10wt.%Ni without BCD - prereduced
Open Research DataThe dataset includes the TPO oxidation profiles of CeO2/10wt.%Ni. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes oxidation profile of the prereduced sample.
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The XRD pattern of CeO2/10wt.%Co prepared with BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Co. The samples of nanoCeO2 were impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes the 5-90 2theta degree measurement.
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Minimizing Distribution and Data Loading Overheads in Parallel Training of DNN Acoustic Models with Frequent Parameter Averaging
PublicationIn the paper we investigate the performance of parallel deep neural network training with parameter averaging for acoustic modeling in Kaldi, a popular automatic speech recognition toolkit. We describe experiments based on training a recurrent neural network with 4 layers of 800 LSTM hidden states on a 100-hour corpora of annotated Polish speech data. We propose a MPI-based modification of the training program which minimizes the...
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Consumer Bankruptcy Prediction Using Balanced and Imbalanced Data
PublicationThis paper examines the usefulness of logit regression in forecasting the consumer bankruptcy of households using an imbalanced dataset. The research on consumer bankruptcy prediction is of paramount importance as it aims to build statistical models that can identify consumers in a difficult financial situation that may lead to consumer bankruptcy. In the face of the current global pandemic crisis, the future of household finances...
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Urban scene semantic segmentation using the U-Net model
PublicationVision-based semantic segmentation of complex urban street scenes is a very important function during autonomous driving (AD), which will become an important technology in industrialized countries in the near future. Today, advanced driver assistance systems (ADAS) improve traffic safety thanks to the application of solutions that enable detecting objects, recognising road signs, segmenting the road, etc. The basis for these functionalities...
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Cost-Efficient Multi-Objective Design of Miniaturized Microwave Circuits Using Machine Learning and Artificial Neural Network
PublicationDesigning microwave components involves managing multiple objectives such as center frequencies, impedance matching, and size reduction for miniaturized structures. Traditional multi-objective optimization (MO) approaches heavily rely on computationally expensive population-based methods, especially when exe-cuted with full-wave electromagnetic (EM) analysis to guarantee reliability. This paper introduces a novel and cost-effective...
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Going all in or spreading your bet: a configurational perspective on open innovation interaction channels in production sectors
PublicationUsing different interaction channels within open innovation partnerships holds the potential to enhance the chance of success in production sectors. However, our comprehension of how open innovation partnerships are affected by varying combinations of interaction channels, and how this corelates with their level of open innovation output, remains limited. There are discrepancies in the current literature regarding the individual...
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Towards application of uncertainty quantification procedure combined with experimental procedure for assessment of the accuracy of the DEM approach dedicated for granular flow modeling
PublicationThere is a high demand for accurate and fast numerical models for dense granular flows found in many industrial applications. Nevertheless, before numerical model can be used its need to be always validated against experimental data. During the validation, it is important to consider how the measurement data sets, as well as the numerical models, are affected by errors and uncertainties. In this study, the uncertainty quantification...
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Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives
PublicationLong-term Web archives comprise Web documents gathered over longer time periods and can easily reach hundreds of terabytes in size. Semantic annotations such as named entities can facilitate intelligent access to the Web archive data. However, the annotation of the entire archive content on this scale is often infeasible. The most efficient way to access the documents within Web archives is provided through their URLs, which are...
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Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift
PublicationWhile recent computer vision algorithms achieve impressive performance on many benchmarks, they lack robustness - presented with an image from a different distribution, (e.g. weather or lighting conditions not considered during training), they may produce an erroneous prediction. Therefore, it is desired that such a model will be able to reliably predict its confidence measure. In this work, uncertainty estimation for the task...
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Outdoor photographic documentation of the Castle in Oświęcim (Małopolskie Voivodeship)
Open Research DataThis dataset contains outdoor images of the Castle in Oświęcim (Małopolskie Voivodeship). Retrieved documentation dates from the 19th to 21st centuries. The castle consists of an early Gothic bergfried tower, built at the end of the 13th century, a two-story basement building built on a rectangular plan, and an annexe. The latest image in the dataset...
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The TPR reduction profile of CeO2/10wt.%Cu with BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Cu. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Mn with BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Mn. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Co with BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Co. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Ni with BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Ni. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Fe with BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Fe. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Co without BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Co. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Ni without BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Ni. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Cu without BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Cu. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Mn without BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Mn. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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Electrochemical studies of Boron-Doped Diamond enriched Laser Induced Graphene structures
Open Research DataThis dataset contains electrochemical studies aimed to evaluate the capability of the utilization of laser-induced graphene (LIG) with incorporated boron-doped diamond nanowall (BDNW) hybrid nanostructures for microsupercapacitors. Selected results from this dataset were published in Advanced Functional Materials journal: https://doi.org/10.1002/adfm.202206097
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Change of exhaust gases concentration for LSCNT modified SOFC fueled by biogas mixture at 750 C
Open Research DataThe dataset changes of exhaust gases concentrations (CH4,CO,CO2,H2) over working time for SOFC with La0.27Sr0.54Ce0.09Ni0.1Ti0.9O3-s layer. Concentrations were calculated based on the FTIR measurements and calibration files presented in coupled dataset.
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The XRD pattern of CeO2/10wt.%Ni prepared with BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Ni. The samples of nanoCeO2 were impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4h in air.
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A study of nighttime vehicle detection algorithms
Open Research DataThis dataset is from my master's thesis "A study of nighttime vehicle detection algorithms". It contains both raw data and preprocessed dataset ready to use. In the pictures below you can see how images were annotated.
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The XRD pattern of CeO2/10wt.%Mn prepared with BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Mn. The samples of nanoCeO2 were impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4 h in air.
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The XRD pattern of CeO2/10wt.%Fe prepared with BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Fe. The samples of nanoCeO2 were impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4 h in air.
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The XRD pattern of CeO2/10wt.%Ni with BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Ni. The samples of nanoCeO2 were impregnated with BCD-assisted precursor nitrate solution (betacyclodextrin). The dataset includes 5-90 2 theta degree measurement. Nonreduced. Sintered at 400oC for 4h.
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The XRD pattern of CeO2/10wt.%Cu prepared with BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Cu. The samples of nanoCeO2 were impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4 h in air.
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Testing high impedance analyzer in the field on high-voltage line pylon cell 1 exposition 2
Open Research DataThe dataset presents impedance spectrum of anticorrosion coating on high-voltage line pylon presented in the figure below. This object was used to test high-impedance analyzer for diagnostic of anticorossion coatings (HIADAC) realized in the frame of Eureka project E!3174. The dataset contains comparative measurements with Atlas-Sollich ATLAS98HI analyser....
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Testing high impedance analyzer in the field on high-voltage line pylon cell 1 exposition 1
Open Research DataThe dataset presents impedance spectrum of anticorrosion coating on high-voltage line pylon presented in the figure below. This object was used to test high-impedance analyzer for diagnostic of anticorossion coatings (HIADAC) realized in the frame of Eureka project E!3174. The dataset contains comparative measurements with Atlas-Sollich ATLAS98HI analyser....
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Testing high impedance analyzer in the field on high-voltage line pylon cell 2 exposition 1
Open Research DataThe dataset presents impedance spectrum of anticorrosion coating on high-voltage line pylon presented in the figure below. This object was used to test high-impedance analyzer for diagnostic of anticorossion coatings (HIADAC) realized in the frame of Eureka project E!3174. The dataset contains comparative measurements with Atlas-Sollich ATLAS98HI analyser....
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Characteristics of selected Anabaena isolates from CCNP Collection
Open Research DataEN: This dataset includes information about Anabaena strains (cyanobacteria) deposited in the Culture Collection of Northern Poland (CCNP), at the Division of Marine Biotechnology, Institute of Oceanography, University of Gdańsk, Poland. Presented data concern Anabaena strains their (1) isolation and culture conditions, (2) taxonomic position, (3) morphology...
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Photographic documentation of the Palace in Osiek (Oświęcim County, Lesser Poland) at the turn of the 19th and 20th centuries
Open Research DataThis dataset presents photographic documentation of the Palace settled in Osiek (Oświęcim County, Małopolskie Voivodeship – Lesser Poland) from the first half of the 19th century. In 1972, the Palace was listed as a Palace and park complex. The complex consists of a palace, the outbuilding "Kasztel" (Castellum), the "Judge's House" outbuilding, the...
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Selected Technical Issues of Deep Neural Networks for Image Classification Purposes
PublicationIn recent years, deep learning and especially Deep Neural Networks (DNN) have obtained amazing performance on a variety of problems, in particular in classification or pattern recognition. Among many kinds of DNNs, the Convolutional Neural Networks (CNN) are most commonly used. However, due to their complexity, there are many problems related but not limited to optimizing network parameters, avoiding overfitting and ensuring good...
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Solubility Characteristics of Acetaminophen and Phenacetin in Binary Mixtures of Aqueous Organic Solvents: Experimental and Deep Machine Learning Screening of Green Dissolution Media
PublicationThe solubility of active pharmaceutical ingredients is a mandatory physicochemical characteristic in pharmaceutical practice. However, the number of potential solvents and their mixtures prevents direct measurements of all possible combinations for finding environmentally friendly, operational and cost-effective solubilizers. That is why support from theoretical screening seems to be valuable. Here, a collection of acetaminophen...
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CNN-CLFFA: Support Mobile Edge Computing in Transportation Cyber Physical System
PublicationIn the present scenario, the transportation Cyber Physical System (CPS) improves the reliability and efficiency of the transportation systems by enhancing the interactions between the physical and cyber systems. With the provision of better storage ability and enhanced computing, cloud computing extends transportation CPS in Mobile Edge Computing (MEC). By inspecting the existing literatures, the cloud computing cannot fulfill...
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Categorization of emotions in dog behavior based on the deep neural network
PublicationThe aim of this article is to present a neural system based on stock architecture for recognizing emotional behavior in dogs. Our considerations are inspired by the original work of Franzoni et al. on recognizing dog emotions. An appropriate set of photographic data has been compiled taking into account five classes of emotional behavior in dogs of one breed, including joy, anger, licking, yawning, and sleeping. Focusing on a particular...
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Transfer learning in imagined speech EEG-based BCIs
PublicationThe Brain–Computer Interfaces (BCI) based on electroencephalograms (EEG) are systems which aim is to provide a communication channel to any person with a computer, initially it was proposed to aid people with disabilities, but actually wider applications have been proposed. These devices allow to send messages or to control devices using the brain signals. There are different neuro-paradigms which evoke brain signals of interest...
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Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG activities during human memory formation
PublicationA wide spectrum of brain rhythms are engaged throughout the human cortex in cognitive functions. How the rhythms of various frequency ranges are coordinated across the space of the human cortex and time of memory processing is inconclusive. They can either be coordinated together across the frequency spectrum at the same cortical site and time or induced independently in particular bands. We used a large dataset of human intracranial...
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The TPR reduction profile of MCO powder
Open Research DataThe dataset includes the TPR reduction profiles of MnCo2O4 (MCO) commercial powder. The dataset includes a cycle of reduction under H2/Ar mixture from 100C to 900C. Gas flow:40ml/min and temperature ramp: 10deg/min. Degassed at 200C in He for 1 h.
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The XRD pattern of CeO2/10wt.%Cu prepared without BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Cu. The samples of nanoCeO2 were impregnated without BCD-assisted precursor solution (betacyclodextrin) - pure nitarte solution 1M. The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4 h in air.
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The XRD pattern of CeO2/10wt.%Fe prepared without BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Fe. The samples of nanoCeO2 were impregnated without BCD-assisted precursor solution (betacyclodextrin) - pure nitarte solution 1M. The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4 h in air.
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The XRD pattern of CeO2/10wt.%Mn prepared without BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Mn. The samples of nanoCeO2 were impregnated without BCD-assisted precursor solution (betacyclodextrin) - pure nitarte solution 1M. The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4 h in air.
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The XRD pattern of CeO2/10wt.%Co prepared without BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Co. The samples of nanoCeO2 were impregnated without BCD-assisted precursor solution (betacyclodextrin) - pure nitarte solution 1M. The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4 h in air.
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The XRD pattern of CeO2/10wt.%Ni prepared without BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Ni. The samples of nanoCeO2 were impregnated without BCD-assisted precursor solution (betacyclodextrin) - pure nitarte solution 1M. The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4 h in air.
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Characteristics of selected Nodularia spumigena isolates from CCNP Collection
Open Research DataEN: This dataset includes information about Nodularia spumigena strains (Cyanobacteria) deposited in the Culture Collection of Northern Poland (CCNP), at the Division of Marine Biotechnology, Institute of Oceanography, University of Gdańsk, Poland. Presented data concern Nodularia spumigena strains, their (1) isolation and culture conditions, (2) taxonomic...