Wyniki wyszukiwania dla: 1D CONVOLUTIONAL NEURAL NETWORK - MOST Wiedzy

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Wyniki wyszukiwania dla: 1D CONVOLUTIONAL NEURAL NETWORK

Wyniki wyszukiwania dla: 1D CONVOLUTIONAL NEURAL NETWORK

  • Using Deep Neural Network Methods for Forecasting Energy Productivity Based on Comparison of Simulation and DNN Results for Central Poland – Swietokrzyskie Voivodeship

    Publikacja

    - Rok 2023

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  • Particle swarm optimization–artificial neural network modeling and optimization of leachable zinc from flour samples by miniaturized homogenous liquid–liquid microextraction

    Publikacja

    - JOURNAL OF FOOD COMPOSITION AND ANALYSIS - Rok 2014

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  • Zastosowanie algorytmu ewolucyjnego do uczenia neuronowego regulatora napięcia generatora synchronicznego. Evolutionary algorithm for training a neural network of synchronous generator voltage controller

    Publikacja

    Najpopularniejsza metoda uczenia wielowarstwowych sieci neuronowych -metoda wstecznej propagacji błędu - charakteryzuje się słabą efektywnością. Z tego względu podejmowane są próby stosowania innych metod do uczenia sieci. W pracy przedstawiono wyniki uczenia sieci realizującej regulator neuronowy, za pomocą algorytmu ewolucyjnego. Obliczenia symulacyjne potwierdziły dobrą zbieżność algorytmu ewolucyjnego w tym zastosowaniu.

  • Productivity Enhancement by Prediction of Liquid Steel Breakout during Continuous Casting Process in Manufacturing of Steel Slabs in Steel Plant Using Artificial Neural Network with Backpropagation Algorithms

    Publikacja
    • M. Ansari
    • S. Chattopadhyaya
    • J. Ghose
    • S. Sharma
    • D. Kozak
    • C. Li
    • S. Wojciechowski
    • S. Dwivedi
    • H. Kilinc
    • J. Królczyk
    • D. Walczak

    - Materials - Rok 2022

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  • Piotr Szczuko dr hab. inż.

    Dr hab. inż. Piotr Szczuko w 2002 roku ukończył studia na Wydziale Elektroniki, Telekomunikacji i Informatyki Politechniki Gdańskiej zdobywając tytuł magistra inżyniera. Tematem pracy dyplomowej było badanie zjawisk jednoczesnej percepcji obrazu cyfrowego i dźwięku dookólnego. W roku 2008 obronił rozprawę doktorską zatytułowaną "Zastosowanie reguł rozmytych w komputerowej animacji postaci", za którą otrzymał nagrodę Prezesa Rady...

  • Deep Learning Basics 2023/24

    Kursy Online
    • K. Draszawka

    A course about the basics of deep learning intended for students of Computer Science. It includes an introduction to supervised machine learning, the architecture of basic artificial neural networks and their training algorithms, as well as more advanced architectures (convolutional networks, recurrent networks, transformers) and regularization and optimization techniques.

  • Paweł Rościszewski dr inż.

    Osoby

    Paweł Rościszewski received his PhD in Computer Science at Gdańsk University of Technology in 2018 based on PhD thesis entitled: "Optimization of hybrid parallel application execution in heterogeneous high performance computing systems considering execution time and power consumption". Currently, he is an Assistant Professor at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Poland....

  • Comparative study of neural networks used in modeling and control of dynamic systems

    Publikacja

    In this paper, a diagonal recurrent neural network that contains two recurrent weights in the hidden layer is proposed for the designing of a synchronous generator control system. To demonstrate the superiority of the proposed neural network, a comparative study of performances, with two other neural network (1_DRNN) and the proposed second-order diagonal recurrent neural network (2_DRNN). Moreover, to confirm the superiority...

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  • Marek Biziuk prof. dr hab. inż.

    Osoby

    Ur. 25.06.1947 w Sokółce, Województwo Podlaskie. W latach 1964-1969 studiował na Wydziale Chemicznym PG. Stopień doktora nauk technicznych uzyskał w 1977 r., a stopień doktora habilitowanego nauk chemicznych w zakresie chemia uzyskał na Wydziale Chemicznym PG 24.05.1995 r. Tytuł naukowy profesora nauk chemicznych uzyskał na Wydz. Chemicznym PG 6.04.2001 r. Członek Komitetu Chemii Analitycznej PAN od 2008, członek Zespołu ds....

  • A Selection of Starting Points for Iterative Position Estimation Algorithms Using Feedforward Neural Networks

    Publikacja

    This article proposes the use of a feedforward neural network (FNN) to select the starting point for the first iteration in well-known iterative location estimation algorithms, with the research objective of finding the minimum size of a neural network that allows iterative position estimation algorithms to converge in an example positioning network. The selected algorithms for iterative position estimation, the structure of the...

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  • Performance improvement of NN based RTLS by customization of NN structure - heuristic approach

    Publikacja

    - Rok 2015

    The purpose of this research is to improve performance of the Hybrid Scene Analysis – Neural Network indoor localization algorithm applied in Real-time Locating System, RTLS. A properly customized structure of Neural Network and training algorithms for specific operating environment will enhance the system’s performance in terms of localization accuracy and precision. Due to nonlinearity and model complexity, a heuristic analysis...

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  • Neural modelling of dynamic systems with time delays based on an adjusted NEAT algorithm

    Publikacja

    A problem related to the development of an algorithm designed to find an architecture of artificial neural network used for black-box modelling of dynamic systems with time delays has been addressed in this paper. The proposed algorithm is based on a well-known NeuroEvolution of Augmenting Topologies (NEAT) algorithm. The NEAT algorithm has been adjusted by allowing additional connections within an artificial neural network and...

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  • An Automated Method for Biometric Handwritten Signature Authentication Employing Neural Networks

    Publikacja

    Handwriting biometrics applications in e-Security and e-Health are addressed in the course of the conducted research. An automated graphomotor analysis method for the dynamic electronic representation of the handwritten signature authentication was researched. The developed algorithms are based on dynamic analysis of electronically handwritten signatures employing neural networks. The signatures were acquired with the use of the...

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  • A survey of neural networks usage for intrusion detection systems

    In recent years, advancements in the field of the artificial intelligence (AI) gained a huge momentum due to the worldwide appliance of this technology by the industry. One of the crucial areas of AI are neural networks (NN), which enable commer‐ cial utilization of functionalities previously not accessible by usage of computers. Intrusion detection system (IDS) presents one of the domains in which neural networks are widely tested...

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  • Neural Approximators for Variable-Order Fractional Calculus Operators (VO-FC)

    Publikacja

    - IEEE Access - Rok 2022

    The paper presents research on the approximation of variable-order fractional operators by recurrent neural networks. The research focuses on two basic variable-order fractional operators, i.e., integrator and differentiator. The study includes variations of the order of each fractional operator. The recurrent neural network architecture based on GRU (Gated Recurrent Unit) cells functioned as a neural approximation for selected...

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  • Dynamically positioned ship steering making use of backstepping method and artificial neural networks

    The article discusses the issue of designing a dynamic ship positioning system making use of the adaptive vectorial backstepping method and RBF type arti cial neural networks. In the article, the backstepping controller is used to determine control laws and neural network weight adaptation laws. e arti cial neural network is applied at each time instant to approximate nonlinear functions containing parametric uncertainties....

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  • Ship Resistance Prediction with Artificial Neural Networks

    Publikacja

    - Rok 2015

    The paper is dedicated to a new method of ship’s resistance prediction using Artificial Neural Network (ANN). In the initial stage selected ships parameters are prepared to be used as a training and validation sets. Next step is to verify several network structures and to determine parameters with the highest influence on the result resistance. Finally, other parameters expected to impact the resistance are proposed. The research utilizes...

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  • Extending touch-less interaction with smart glasses by implementing EMG module

    In this paper we propose to use temporal muscle contraction to perform certain actions. Method: The set of muscle contractions corresponding to one of three actions including “single-click”, “double-click” “click-n-hold” and “non-action” were recorded. After recording certain amount of signals, the set of five parameters was calculated. These parameters served as an input matrix for the neural network. Two-layer feedforward neural...

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  • Minimizing Distribution and Data Loading Overheads in Parallel Training of DNN Acoustic Models with Frequent Parameter Averaging

    Publikacja

    In 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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  • Supply current signal and artificial neural networks in the induction motor bearings diagnostics

    Publikacja

    This paper contains research results of the diagnostics of induction motor bearings based on measurement of the supply current with usage of artificial neural networks. Bearing failure amount is greater than 40% of all engine failures, which makes their damage-free operation crucial. Tests were performed on motors with intentionally made bearings defects. Chapter 2 introduces the concept of artificial neural networks. It presents...

  • Neural Architecture Search for Skin Lesion Classification

    Deep neural networks have achieved great success in many domains. However, successful deployment of such systems is determined by proper manual selection of the neural architecture. This is a tedious and time-consuming process that requires expert knowledge. Different tasks need very different architectures to obtain satisfactory results. The group of methods called the neural architecture search (NAS) helps to find effective architecture...

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

    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...

  • Blood Pressure Estimation Based on Blood Flow, ECG and Respiratory Signals Using Recurrent Neural Networks

    Publikacja

    The estimation of systolic and diastolic blood pressure using artificial neural network is considered in the paper. The blood pressure values are estimated using pulse arrival time, and additionally RR intervals of ECG signal together with respiration signal. A single layer recurrent neural network with hyperbolic tangent activation function was used. The average blood pressure estimation error for the data obtained from 21 subjects...

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  • Tagged images with LEGO bricks - Bricks Sloped

    Dane Badawcze
    wersja 1.2 open access - seria: LEGO - partial

    The set contains images of LEGO bricks (from Bricks Sloped 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

    Dane Badawcze
    wersja 1.1 open access - seria: LEGO - partial

    The set contains images of LEGO bricks (from Tiles 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 - Windscreens and Fuselage

    Dane Badawcze
    wersja 1.2 open access - seria: LEGO - partial

    The set contains images of LEGO bricks (from Windscreens and Fuselage 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 Special

    Dane Badawcze
    wersja 1.2 open access - seria: LEGO - partial

    The set contains images of LEGO bricks (from Bricks 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

    Dane Badawcze
    wersja 1.3 open access - seria: LEGO - partial

    The set contains images of LEGO bricks (from 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 Beams

    Dane Badawcze
    wersja 1.2 open access - seria: LEGO - partial

    The set contains images of LEGO bricks (from Technic Beams 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 Pins

    Dane Badawcze
    wersja 1.2 open access - seria: LEGO - partial

    The set contains images of LEGO bricks (from Technic Pins 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 - Minifig Accessories

    Dane Badawcze
    wersja 1.1 open access - seria: 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

    Dane Badawcze
    wersja 1.2 open access - seria: 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

    Dane Badawcze
    wersja 1.1 open access - seria: 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

    Dane Badawcze
    wersja 1.1 open access - seria: 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

    Dane Badawcze
    wersja 1.1 open access - seria: 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

    Dane Badawcze
    wersja 1.2 open access - seria: 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

    Dane Badawcze
    wersja 1.2 open access - seria: 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

    Dane Badawcze
    wersja 1.1 open access - seria: 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

    Dane Badawcze
    wersja 1.1 open access - seria: 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

    Dane Badawcze
    wersja 1.1 open access - seria: 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

    Dane Badawcze
    wersja 1.1 open access - seria: 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

    Dane Badawcze
    wersja 1.2 open access - seria: 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

    Dane Badawcze
    wersja 1.1 open access - seria: 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

    Dane Badawcze
    wersja 1.1 open access - seria: 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

    Dane Badawcze
    wersja 1.2 open access - seria: 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

    Dane Badawcze
    wersja 1.2 open access - seria: 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

    Dane Badawcze
    wersja 1.2 open access - seria: 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

    Dane Badawcze
    wersja 1.2 open access - seria: 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

    Dane Badawcze
    wersja 1.2 open access - seria: 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

    Dane Badawcze
    wersja 1.1 open access - seria: 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.