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Wyniki wyszukiwania dla: natural radioactivity
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Neural, Parallel and Scientific Computations
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APEIRON, STUDIES IN INFINITE NATURE
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International Journal of Neural Networks
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NATURE STRUCTURAL & MOLECULAR BIOLOGY
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Nature Reviews Disease Primers
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IEEE TRANSACTIONS ON NEURAL NETWORKS
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Journal of Nature and Science of Medicine
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Nature Clinical Practice Oncology
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JOURNAL OF NEURAL TRANSMISSION-SUPPLEMENT
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NETWORK-COMPUTATION IN NEURAL SYSTEMS
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Nature Clinical Practice Rheumatology
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Nature Clinical Practice Nephrology
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Nature Reviews Gastroenterology & Hepatology
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Nature Reviews Clinical Oncology
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Nature Reviews Earth & Environment
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Nature Clinical Practice Urology
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NATURE REVIEWS DRUG DISCOVERY
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International Journal of Neural Systems
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Nature Clinical Practice Neurology
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Nature Reviews Methods Primers
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Toward Intelligent Vehicle Intrusion Detection Using the Neural Knowledge DNA
PublikacjaIn this paper, we propose a novel intrusion detection approach using past driving experience and the neural knowledge DNA for in-vehicle information system security. The neural knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for classifying malicious vehicle control commands...
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Evaluation of Facial Pulse Signals Using Deep Neural Net Models
PublikacjaThe reliable measurement of the pulse rate using remote photoplethysmography (PPG) is very important for many medical applications. In this paper we present how deep neural networks (DNNs) models can be used in the problem of PPG signal classification and pulse rate estimation. In particular, we show that the DNN-based classification results correspond to parameters describing the PPG signals (e.g. peak energy in the frequency...
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An Improved Convolutional Neural Network for Steganalysis in the Scenario of Reuse of the Stego-Key
PublikacjaThe topic of this paper is the use of deep learning techniques, more specifically convolutional neural networks, for steganalysis of digital images. The steganalysis scenario of the repeated use of the stego-key is considered. Firstly, a study of the influence of the depth and width of the convolution layers on the effectiveness of classification was conducted. Next, a study on the influence of depth and width of fully connected...
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Bees Detection on Images: Study of Different Color Models for Neural Networks
PublikacjaThis paper presents an approach to bee detection in video streams using a neural network classifier. We describe the motivation for our research and the methodology of data acquisition. The main contribution to this work is a comparison of different color models used as an input format for a feedforward convolutional architecture applied to bee detection. The detection process has is based on a neural binary classifier that classifies...
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Iterative Global Sensitivity Analysis Algorithm with Neural Network Surrogate Modeling
PublikacjaGlobal sensitivity analysis (GSA) is a method to quantify the effect of the input parameters on outputs of physics-based systems. Performing GSA can be challenging due to the combined effect of the high computational cost of each individual physics-based model, a large number of input parameters, and the need to perform repetitive model evaluations. To reduce this cost, neural networks (NNs) are used to replace the expensive physics-based...
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Hierarchical 2-step neural-based LEGO bricks detection and labeling
PublikacjaLEGO bricks are extremely popular and allow the creation of almost any type of construction due to multiple shapes available. LEGO building requires however proper brick arrangement, usually done by shape. With over 3700 different LEGO parts this can be troublesome. In this paper, we propose a solution for object detection and annotation on images. The solution is designed as a part of an automated LEGO bricks arrangement. The...
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Artificial-Neural-Network-Based Sensorless Nonlinear Control of Induction Motors
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Extended Hopfield models of neural networks for combinatorial multiobjective optimization problems
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ReFlexeNN - the Wearable EMG Interface with Neural Network Based Gesture Classification
PublikacjaThe electromyographic activity of muscles was measured using a wireless biofeedback device. The aim of the study was to examine the possibility of creating an automatic muscle tension classifier. Several measurement series were conducted and the participant performed simple physical exercises - forcing the muscle to increase its activity accordingly to the selected scale. A small wireless device was attached to the electrodes placed...
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Applying artificial neural networks for modelling ship speed and fuel consumption
PublikacjaThis paper deals with modelling ship speed and fuel consumption using artificial neural network (ANN) techniques. These tools allowed us to develop ANN models that can be used for predicting both the fuel consumption and the travel time to the destination for commanded outputs (the ship driveline shaft speed and the propeller pitch) selected by the ship operator. In these cases, due to variable environmental conditions, making...
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Selected Technical Issues of Deep Neural Networks for Image Classification Purposes
PublikacjaIn 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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An application of the TCRBF neural network in multi-node fault diagnosis method
PublikacjaPrzedstawiono nową metodę samo-testowania części analogowej w systemach elektronicznych sterowanych mikrokontrolerami. Układ badany pobudzany jest przebiegiem sinusoidalnym przez generator zamontowany w systemie, a jego odpowiedź jest próbkowana w wybranych węzłach przez wewnętrzny przetwornik A/C mikrokontrolera. Detekcja i lokalizacja uszkodzenia jest dokontwana przez sieć neuronową typu TCRBF. Procedurę diagnostyczną zaimplementowano...
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Ból jako parametr niechęci do natury (Herbert wobec Miłosza)
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Use of Neural Networks in Diagnostics of Rolling-Element Bearing of the Induction Motor
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Diagnostic potential for a serum miRNA neural network for detection of ovarian cancer
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Analysis of electrical patterns activity in artificial multi-stable neural networks
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Law of Nature as Justification for Reforms. Polish Political Thought in the Eighteenth Century
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Neural Networks in the Diagnostics Process of Low-Power Solar Plant Devices
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Supercritical Algal Extracts: A Source of Biologically Active Compounds from Nature
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Optimization of a three-bed adsorption chiller by genetic algorithms and neural networks
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Automatic singing voice recognition employing neural networks and rough sets
PublikacjaCelem prac opisanych w referacie jest automatyczne rozpoznawanie głosów śpiewaczych. Do tego celu utworzona została baza nagrań próbek śpiewu profesjonalnego i amatorskiego. Próbki poddane zostały parametryzacji parametrami zaproponowanymi przez autorów ściśle do tego celu. Sposób wyznaczenia parametrów i ich interpretacja fizyczna przedstawione są w referacie. Parametry wprowadzane są do systemów decyzyjnych, klasyfikatorów opartych...
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Czy można budować morskie obiekty hydrotechniczne wspólnie z naturą?
PublikacjaOmówiono ideę proekologicznego budowania kanału żeglugowego przez Mierzeję Wiślaną. Przeanalizowano przeobrażenia środowiska przyrodniczego mierzei oraz przedstawiono propozycje proekologicznych rozwiązań konstrukcyjno - technologicznych budowy kanału żeglugowego. Omówiono także sposoby minimalizacji i kompensacji strat środowiskowych związanych z budową kanału żeglugowego.
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Use of Neural Networks in Diagnostics of Rolling-Element Bearing of the Induction Motor
PublikacjaBearing defect is statistically the most frequent cause of an induction motor fault. The research described in the paper utilized the phenomenon of the current change in the induction motor with bearing defect. Methods based on the analysis of the supplying current are particularly useful when it is impossible to install diagnostic devices directly on the motor. The presented method of rolling-element bearing diagnostics used indirect...
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Artificial Neural Networks for Prediction of Antibacterial Activity in Series of Imidazole Derivatives
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Multisensor Tracking of Marine Targets - Decentralized Fusion of Kalman and Neural Filters
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Application of Game Theory against Nature in Supporting Bid Pricing in Construction
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Ultracapacitor modeling and control with discrete fractional order artificial neural network
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Neural Networks Based on Ultrafast Time-Delayed Effects in Exciton Polaritons
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Working in harmony with nature. Green office buildings in a present-day city
PublikacjaMetropolis - as main point of people's migration, mostly because of work, have to face sustainable development as a strategy for the near future. This article describes possible ways leading to the best office building concepts in the design process. Searching for a workspace in harmony with nature is one of the aspects of a balanced development. The challenge is to create functional, compact, environmentally friendly and healthy...
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Comparative study of neural networks used in modeling and control of dynamic systems
PublikacjaIn 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...