Search results for: NEURAL NETWORK
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Fast Approximate String Search for Wikification
PublicationThe paper presents a novel method for fast approximate string search based on neural distance metrics embeddings. Our research is focused primarily on applying the proposed method for entity retrieval in the Wikification process, which is similar to edit distance-based similarity search on the typical dictionary. The proposed method has been compared with symmetric delete spelling correction algorithm and proven to be more efficient...
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General concept of reduction process for big data obtained by interferometric methods
PublicationInterferometric sonar systems apply the phase content of the sonar signal to measure the angle of a wave front returned from the seafloor or from a target. It collect a big data – datasets that are so large or complex that traditional data processing application software is inadequate to deal with them. The recording a large number of data is associated with the difficulty of their efficient use. So data have to be reduced. The main...
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Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors
PublicationMonitoring air pollution is a critical step towards improving public health, particularly when it comes to identifying the primary air pollutants that can have an impact on human health. Among these pollutants, particulate matter (PM) with a diameter of up to 2.5 μ m (or PM2.5) is of particular concern, making it important to continuously and accurately monitor pollution related to PM. The emergence of mobile low-cost PM sensors...
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Reactivation of seizure‐related changes to interictal spike shape and synchrony during postseizure sleep in patients
PublicationOBJECTIVE: Local field potentials (LFPs) arise from synchronous activation of millions of neurons, producing seemingly consistent waveform shapes and relative synchrony across electrodes. Interictal spikes (IISs) are LFPs associated with epilepsy that are commonly used to guide surgical resection. Recently, changes in neuronal firing patterns observed in the minutes preceding seizure onset were found to be reactivated during postseizure...
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Deep CNN based decision support system for detection and assessing the stage of diabetic retinopathy
PublicationThe diabetic retinopathy is a disease caused by long-standing diabetes. Lack of effective treatment can lead to vision impairment and even irreversible blindness. The disease can be diagnosed by examining digital color fundus photographs of retina. In this paper we propose deep learning approach to automated diabetic retinopathy screening. Deep convolutional neural networks (CNN) - the most popular kind of deep learning algorithms...
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An Analysis of Neural Word Representations for Wikipedia Articles Classification
PublicationOne of the current popular methods of generating word representations is an approach based on the analysis of large document collections with neural networks. It creates so-called word-embeddings that attempt to learn relationships between words and encode this information in the form of a low-dimensional vector. The goal of this paper is to examine the differences between the most popular embedding models and the typical bag-of-words...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 12 mm piston rod diameter and 25 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 63 mm piston diameter, 20 mm piston rod diameter and 100 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 14 mm piston rod diameter and 500 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 63 mm piston diameter, 25 mm piston rod diameter and 50 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 63 mm piston diameter, 20 mm piston rod diameter and 200 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 100 mm piston diameter, 25 mm piston rod diameter and 500 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 100 mm piston diameter, 32 mm piston rod diameter and 25 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 63 mm piston diameter, 20 mm piston rod diameter and 500 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 63 mm piston diameter, 20 mm piston rod diameter and 50 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 63 mm piston diameter, 20 mm piston rod diameter and 25 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 63 mm piston diameter, 25 mm piston rod diameter and 200 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 100 mm piston diameter, 25 mm piston rod diameter and 100 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 100 mm piston diameter, 25 mm piston rod diameter and 200 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 12 mm piston rod diameter and 50 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 14 mm piston rod diameter and 25 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 100 mm piston diameter, 32 mm piston rod diameter and 100 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 100 mm piston diameter, 32 mm piston rod diameter and 500 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 14 mm piston rod diameter and 200 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 100 mm piston diameter, 25 mm piston rod diameter and 25 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 63 mm piston diameter, 25 mm piston rod diameter and 500 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 100 mm piston diameter, 25 mm piston rod diameter and 50 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 12 mm piston rod diameter and 100 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 100 mm piston diameter, 32 mm piston rod diameter and 50 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 14 mm piston rod diameter and 100 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 12 mm piston rod diameter and 500 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 100 mm piston diameter, 32 mm piston rod diameter and 200 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 63 mm piston diameter, 25 mm piston rod diameter and 100 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 12 mm piston rod diameter and 200 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 14 mm piston rod diameter and 50 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 63 mm piston diameter, 25 mm piston rod diameter and 25 mm stroke
Open Research DataThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Signal Processing in the Investigation of Two-phase Liquid-gas Flow by Gamma-ray Absorption
Publicationn this paper, the use of the gamma-absorption method applied in the investigation of the two-phase liquid-gas flow in the pipeline is described. An example of its application to the air transported by water in a horizontal pipeline is evaluated. In the measurements, Am-241 radioactive sources and probes with Nal (Tl) scintillation crystals have been used. The signals from the radiometric set were used to determine the velocity...
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Evaluating Performance and Accuracy Improvements for Attention-OCR
PublicationIn this paper we evaluated a set of potential improvements to the successful Attention-OCR architecture, designed to predict multiline text from unconstrained scenes in real-world images. We investigated the impact of several optimizations on model’s accuracy, including employing dynamic RNNs (Recurrent Neural Networks), scheduled sampling, BiLSTM (Bidirectional Long Short-Term Memory) and a modified attention model. BiLSTM was...
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Collaborative Data Acquisition and Learning Support
PublicationWith the constant development of neural networks, traditional algorithms relying on data structures lose their significance as more and more solutions are using AI rather than traditional algorithms. This in turn requires a lot of correctly annotated and informative data samples. In this paper, we propose a crowdsourcing based approach for data acquisition and tagging with support for Active Learning where the system acts as an...
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Monitoring the gas turbine start-up phase on the platform using a hierarchical model based on Multi-Layer Perceptron networks
PublicationVery often, the operation of diagnostic systems is related to the evaluation of process functionality, where the diagnostics is carried out using reference models prepared on the basis of the process description in the nominal state. The main goal of the work is to develop a hierarchical gas turbine reference model for the estimation of start-up parameters based on multi-layer perceptron neural networks. A functional decomposition...
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Application of gas chromatographic data and 2D molecular descriptors for accurate global mobility potential prediction
PublicationMobility is a key feature affecting the environmental fate, which is of particular importance in the case of persistent organic pollutants (POPs) and emerging pollutants (EPs). In this study, the global mobility classification artificial neural networks-based models employing GC retention times (RT) and 2D molecular descriptors were constructed and validated. The high usability of RT was confirmed based on the feature selection...
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Machine Learning and Deep Learning Methods for Fast and Accurate Assessment of Transthoracic Echocardiogram Image Quality
PublicationHigh-quality echocardiogram images are the cornerstone of accurate and reliable measurements of the heart. Therefore, this study aimed to develop, validate and compare machine learning and deep learning algorithms for accurate and automated assessment of transthoracic echocardiogram image quality. In total, 4090 single-frame two-dimensional transthoracic echocardiogram...
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Evidence for consolidation of neuronal assemblies after seizures in humans
PublicationThe establishment of memories involves reactivation of waking neuronal activity patterns and strengthening of associated neural circuits during slow-wave sleep (SWS), a process known as "cellular consolidation" (Dudai and Morris, 2013). Reactivation of neural activity patterns during waking behaviors that occurs on a timescale of seconds to minutes is thought to constitute memory recall (O'Keefe and Nadel, 1978), whereas consolidation...
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High frequency oscillations in human memory and cognition: a neurophysiological substrate of engrams?
PublicationDespite advances in understanding the cellular and molecular processes underlying memory and cognition, and recent successful modulation of cognitive performance in brain disorders, the neurophysiological mechanisms remain underexplored. High frequency oscillations beyond the classic electroencephalogram spectrum have emerged as a potential neural correlate of fundamental cognitive processes. High frequency oscillations are detected...
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Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models
PublicationBreast cancer is the most frequent female cancer. Its early diagnosis increases the chances of a complete cure for the patient. Suitably designed deep learning algorithms can be an excellent tool for quick screening analysis and support radiologists and oncologists in diagnosing breast cancer.The design of a deep learning-based system for automated breast cancer diagnosis is not easy due to the lack of annotated data, especially...
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Artificial intelligence support for disease detection in wireless capsule endoscopy images of human large bowel
PublicationIn the work the chosen algorithms of disease recognition in endoscopy images were described and compared for theirs efficiency. The algorithms were estimated with regard to utility for application in computer system's support for digestive system's diagnostics. Estimations were achieved in an advanced testing environment, which was built with use of the large collection of endoscopy movies received from Medical University in Gdańsk....
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Efficiency comparison of selected endoscopic video analysis algorithms
PublicationIn the paper, selected image analysis algorithms were examined and compared in the task of identifying informative frames, blurry frames, colorectal cancer and healthy tissue on endoscopic videos. In order to standardize the tests, the algorithms were modified by removing from them parts responsible for the classification, and replacing them with Support Vector Machines and Artificial Neural Networks. The tests were performed in...
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Collective citizens' behavior modelling with support of the Internet of Things and Big Data
PublicationIn this paper, collective human behaviors are modelled by a development of Big Data mining related to the Internet of Things. Some studies under MapReduce architectures have been carried out to improve an efficiency of Big Data mining. Intelligent agents in data mining have been analyzed for smart city systems, as well as data mining has been described by genetic programming. Furthermore, artificial neural networks have been discussed...
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Evaluation of Facial Pulse Signals Using Deep Neural Net Models
PublicationThe 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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Comparison of selected electroencephalographic signal classification methods
PublicationA variety of methods exists for electroencephalographic (EEG) signals classification. In this paper, we briefly review selected methods developed for such a purpose. First, a short description of the EEG signal characteristics is shown. Then, a comparison between the selected EEG signal classification methods, based on the overview of research studies on this topic, is presented. Examples of methods included in the study are: Artificial...