Search results for: NEURAL NETWORK - Bridge of Knowledge

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Search results for: NEURAL NETWORK

Search results for: NEURAL NETWORK

  • Tagged images with LEGO bricks - Minifig Accessories

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Minifig Accessories category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Plates

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Plates category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Panels

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Panels category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Pneumatics

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Pneumatics category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Bricks

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Bricks category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Gears

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Gears category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Panels

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Panels category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Bushes

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Bushes category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Transportation - Sea and Air

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Transportation - Sea and Air category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Bionicle Hero Factory and Constraction

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Bionicle Hero Factory and Constraction category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Tiles Round and Curved

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Tiles Round and Curved category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Hinges Arms and Turntables

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Hinges Arms and Turntables category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Plates Angled

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Plates Angled category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Windows and Doors

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Windows and Doors category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Plates Special

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Plates Special category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Connectors

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Connectors category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Beams Special

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Beams Special category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Bricks Curved

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Bricks Curved category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Tiles Special

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Tiles Special category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Transportation - Land

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Transportation - Land category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Plates Round Curved and Dishes

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Plates Round Curved and Dishes category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Bricks Wedged

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Bricks Wedged category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Axles

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Axles category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Bars Ladders and Fences

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Bars Ladders and Fences category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Steering Suspension and Engine

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Steering Suspension and Engine category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Bricks Round and Cones

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Bricks Round and Cones category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Special

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Special category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Plants and Animals

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Plants and Animals category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Using Long-Short term Memory networks with Genetic Algorithm to predict engine condition

    Publication

    - Gazi University Journal of Science - Year 2022

    Predictive maintenance (PdM) is a type of approach for maintenance processes, allowing maintenance actions to be managed depending on the machine's current condition. Maintenance is therefore carried out before failures occur. The approach doesn’t only help avoid abrupt failures but also helps lower maintenance cost and provides possibilities to manufacturers to manage maintenance budgets in a more efficient way. A new deep neural...

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  • Fusion-based Representation Learning Model for Multimode User-generated Social Network Content

    As mobile networks and APPs are developed, user-generated content (UGC), which includes multi-source heterogeneous data like user reviews, tags, scores, images, and videos, has become an essential basis for improving the quality of personalized services. Due to the multi-source heterogeneous nature of the data, big data fusion offers both promise and drawbacks. With the rise of mobile networks and applications, UGC, which includes...

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  • Smart Approach for Glioma Segmentation in Magnetic Resonance Imaging using Modified Convolutional Network Architecture (U-NET)

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2021

    Segmentation of a brain tumor from magnetic resonance multimodal images is a challenging task in the field of medical imaging. The vast diversity in potential target regions, appearance and multifarious intensity threshold levels of various tumor types are few of the major factors that affect segmentation results. An accurate diagnosis and its treatment demand strict delineation of the tumor affected tissues. Herein, we focus on...

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  • Analysis of Denoising Autoencoder Properties Through Misspelling Correction Task

    Publication

    The paper analyzes some properties of denoising autoencoders using the problem of misspellings correction as an exemplary task. We evaluate the capacity of the network in its classical feed-forward form. We also propose a modification to the output layer of the net, which we called multi-softmax. Experiments show that the model trained with this output layer outperforms traditional network both in learning time and accuracy. We...

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  • Images of LEGO bricks

    Open Research Data
    version 1.1 open access - series: LEGO

    The set contains images of LEGO bricks (from  multiple categories). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • The Use of an Autoencoder in the Problem of Shepherding

    Publication

    This paper refers to the problem of shepherding clusters of passive agents consisting of a large number of objects by a team of active agents. The problem of shepherding and the difficulties that arise with the increasing number of data describing the location of agents have been described. Several methods for reducing the dimensionality of data are presented. Selected autoencoding method using a Restricted Boltzmann Machine is...

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  • Survival time prognosis under a Markov model of cancer development

    Publication

    - Year 2010

    In this study we look at a breast cancer data set of women from Pomerania region collected in year 1987-1992 in the Medical University of Gdańsk. We analyze the clinical risk factors in conjunction with Markov model of cancer development. We evaluate Artificial Neural Network (ANN) survival time prediction via a simulation study.

  • Musical Instrument Identification Using Deep Learning Approach

    Publication

    - SENSORS - Year 2022

    The work aims to propose a novel approach for automatically identifying all instruments present in an audio excerpt using sets of individual convolutional neural networks (CNNs) per tested instrument. The paper starts with a review of tasks related to musical instrument identification. It focuses on tasks performed, input type, algorithms employed, and metrics used. The paper starts with the background presentation, i.e., metadata...

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  • Video of LEGO Bricks on Conveyor Belt Dataset Series

    Publication

    - Year 2022

    The dataset series titled Video of LEGO bricks on conveyor belt is composed of 14 datasets containing video recordings of a moving white conveyor belt. The recordings were created using a smartphone camera in Full HD resolution. The dataset allows for the preparation of data for neural network training, and building of a LEGO sorting machine that can help builders to organise their collections.

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  • Multifunctional PID Neuro-Controller for Synchronous Generator

    This paper deals with a PID Neuro-Controller (PIDNC) for synchronous generator system. The controller is based on artificial neural network and adaptive control strategy. It ensures two functions: maintaining the generator voltage at its desired value and damping electromechanical oscillations. The performance of the proposed controller is evaluated on the basis of simulation tests. A comparative study of the results obtained with...

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  • Automatic labeling of traffic sound recordings using autoencoder-derived features

    Publication

    An approach to detection of events occurring in road traffic using autoencoders is presented. Extensions of existing algorithms of acoustic road events detection employing Mel Frequency Cepstral Coefficients combined with classifiers based on k nearest neighbors, Support Vector Machines, and random forests are used. In our research, the acoustic signal gathered from the microphone placed near the road is split into frames and converted...

  • KEMR-Net: A Knowledge-Enhanced Mask Refinement Network for Chromosome Instance Segmentation

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2024

    This article proposes a mask refinement method for chromosome instance segmentation. The proposed method exploits the knowledge representation capability of Neural Knowledge DNA (NK-DNA) to capture the semantics of the chromosome’s shape, texture, and key points, and then it uses the captured knowledge to improve the accuracy and smoothness of the masks. We validate the method’s effectiveness on our latest high-resolution chromosome...

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  • Position Estimation in Mixed Indoor-Outdoor Environment Using Signals of Opportunity and Deep Learning Approach

    To improve the user's localization estimation in indoor and outdoor environment a novel radiolocalization system using deep learning dedicated to work both in indoor and outdoor environment is proposed. It is based on the radio signatures using radio signals of opportunity from LTE an WiFi networks. The measurements of channel state estimators from LTE network and from WiFi network are taken by using the developed application....

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  • Semantic segmentation training using imperfect annotations and loss masking

    One of the most significant factors affecting supervised neural network training is the precision of the annotations. Also, in a case of expert group, the problem of inconsistent data annotations is an integral part of real-world supervised learning processes, well-known to researchers. One practical example is a weak ground truth delineation for medical image segmentation. In this paper, we have developed a new method of accurate...

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  • Application of ANN and PCA to two-phase flow evaluation using radioisotopes

    Publication

    - EPJ Web of Conferences - Year 2017

    In the two-phase flow measurements a method involving the absorption of gamma radiation can be applied among others. Analysis of the signals from the scintillation probes can be used to determine the number of flow parameters and to recognize flow structure. Three types of flow regimes as plug, bubble, and transitional plug – bubble flows were considered in this work. The article shows how features of the signals in the time and...

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  • Diagnostyka łożysk silnika indukcyjnego na podstawie prądu zasilającego przy użyciu sztucznych sieci neuronowych

    W artykule zawarto wyniki badań dotyczące diagnostyki łożysk silnika indukcyjnego na podstawie pomiarów prądu zasilającego z wykorzystaniem sztucznych sieci neuronowych. Zaprezentowano wyniki uczenia sieci oraz rezultaty testów przeprowadzonych na danych spoza zbioru uczącego. Badania wykonane zostały na obiektach z celowo wprowadzonymi uszkodzeniami łożysk. Przedstawiona nowa koncepcja zakłada użycie zestawu sieci neuronowych...

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  • A method of self-testing of analog circuits based on fully differential op-amps with theTCBF classifier

    Publication

    - Year 2015

    A new approach of self-testing of analog circuits based on fully differential op-amps of mixed-signal systems controlled by microcontrollers is presented. It consists of a measurement procedure and a fault diagnosis procedure. We measure voltage samples of a time response of a tested circuit on a stimulation of a unit step function given at the common-mode reference voltage input of the op-amp. The fault detection and fault localization...

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  • Underground Water Level Prediction in Remote Sensing Images Using Improved Hydro Index Value with Ensemble Classifier

    Publication
    • A. Stateczny
    • S. C. Narahari
    • P. Vurubindi
    • N. S. Guptha
    • K. Srinivas

    - Remote Sensing - Year 2023

    The economic sustainability of aquifers across the world relies on accurate and rapid estimates of groundwater storage changes, but this becomes difficult due to the absence of insitu groundwater surveys in most areas. By closing the water balance, hydrologic remote sensing measures offer a possible method for quantifying changes in groundwater storage. However, it is uncertain to what extent remote sensing data can provide an...

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  • Intracranial hemorrhage detection in 3D computed tomography images using a bi-directional long short-term memory network-based modified genetic algorithm

    Publication

    - Frontiers in Neuroscience - Year 2023

    Introduction: Intracranial hemorrhage detection in 3D Computed Tomography (CT) brain images has gained more attention in the research community. The major issue to deal with the 3D CT brain images is scarce and hard to obtain the labelled data with better recognition results. Methods: To overcome the aforementioned problem, a new model has been implemented in this research manuscript. After acquiring the images from the Radiological...

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  • Determination of chlorine concentration using single temperature modulated semiconductor gas sensor

    A periodic temperature modulation using sinusoidal heater voltage was applied to a commercial SnO2 semiconductor gas sensor. Resulting resistance response of the sensor was analyzed using a feature extraction method based on Fast Fourier Transformation (FFT). The amplitudes of the higher harmonics of the FFT from the dynamic nonlinear responses of measured gas were further utilized as an input for Artificial Neural...

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  • Tagged images with bees

    Open Research Data
    open access - series: Bees

    Images taken from bee hive with tagged bees. The images are prepared for training yolo5 deep neural network (supplied with the data).

  • Video of LEGO bricks on conveyor belt - flags and signs

    Open Research Data

    The set contains videos of LEGO bricks (flags and signs) moving on a white conveyor belt. The images were prepared for training neural network for recognition of LEGO bricks. The bricks were separated as much as possible and in most cases they should not overlap. The images were taken from different sides by stationary camera located over the final...