Wyniki wyszukiwania dla: NEURAL NETWORK APPLICATIONS - MOST Wiedzy

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Wyniki wyszukiwania dla: NEURAL NETWORK APPLICATIONS

Wyniki wyszukiwania dla: NEURAL NETWORK APPLICATIONS

  • Applications of AI in Enterprise 2023

    Kursy Online
    • J. J. Chabik

  • Friendly Applications: supporting education of children with autism

    Publikacja

    - Rok 2016

    Friendly Applications is a project introducing a family of applications supporting education of children with autism at kindergarten level. The applications were developed as a joint initiative of Gdansk University of Technology and Institute for Child Development, which uses the applications in daily educational activities.

  • Berkeley Open Infrastructure for Network Computing

    Publikacja

    - Rok 2012

    Zaprezentowano system BOINC (ang. Berkeley Open Infrastructure for Network Computing) jako interesujące rozwiązanie integrujące rozproszone moce obliczeniowe osobistych komputerów typu PC w Internecie. Przedstawiono zasadę działania opisywanej platformy. W dalszej części zaprezentowano kilka wybranych projektów naukowych wykorzystujących BOINC, które są reprezentatywne w zakresie zastosowania systemu w ujęciu założonego paradygmatu...

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  • Network Protection Against Node Attacks Based on Probabilistic Availability Measures

    Publikacja

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  • Distributed state estimation using a network of asynchronous processing nodes

    Publikacja

    We consider the problem of distributed state estimation of continuous-time stochastic processes using a~network of processing nodes. Each node performs measurement and estimation using the Kalman filtering technique, communicates its results to other nodes in the network, and utilizes similar results from the other nodes in its own computations. We assume that the connection graph of the network is not complete, i.e. not all nodes...

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  • Distributed state estimation using a network of asynchronous processing nodes

    We consider the problem of distributed state estimation of continuous-time stochastic processes using a~network of processing nodes. Each node performs measurement and estimation using the Kalman filtering technique, communicates its results to other nodes in the network, and utilizes similar results from the other nodes in its own computations. We assume that the connection graph of the network is not complete, i.e. not all nodes...

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  • JOURNAL OF THE COMMUNICATIONS NETWORK

    Czasopisma

    ISSN: 1477-4739

  • JAMA Network Open

    Czasopisma

    ISSN: 2574-3805

  • Journal of Network Intelligence

    Czasopisma

    eISSN: 2414-8105

  • Applied Network Science

    Czasopisma

    eISSN: 2364-8228

  • PHOTONIC NETWORK COMMUNICATIONS

    Czasopisma

    ISSN: 1387-974X , eISSN: 1572-8188

  • Review of Network Economics

    Czasopisma

    ISSN: 2194-5993 , eISSN: 1446-9022

  • Transmission Protocol Simulation Framework For The Resource-Constrained Wireless Sensor Network

    In this paper a prototype framework for simulation of wireless sensor network and its protocols are presented. The framework simulates operation of a sensor network with data transmission, which enables simultaneous development of the sensor network software, its hardware and the protocols for wireless data transmission. An advantage of using the framework is converging simulation with the real software. Instead of creating...

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  • Investigation of continuous wave jamming in an IEEE 802.15.4 network

    Publikacja

    This paper presents how continuous wave jamming affects IEEE 802.15.4 network. To this end, an office-based measurement setup has been proposed. Within the measurement area, 25 nodes have been set up in order to create a IEEE 802.15.4 tree-based test network structure. A dedicated jamming device that generates and transmits a continuous wave signal has been developed. Several tests have been conducted and presented to demonstrate...

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  • Bilateral power supply of the traction network as a first stage of Smart Grid technology implementation in electric traction

    Since 2001, trolleybus system in Gdynia has been involved in many activities related to the reduction of power consumption, both in terms of implementation and research and development. In PKT, in cooperation with SESTO company, started applications of Smart Grid technologies in supply network: the bilateral supply. The paper presents results of this this novel investment.

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  • A survey on network resiliency methodologies against weather-based disruptions

    Publikacja
    • M. Tornatore
    • J. Andre
    • P. Babarczi
    • T. Braun
    • E. Folstad
    • P. Heegaard
    • A. Hmaity
    • M. Furdek
    • L. Jorge
    • W. Kmiecik... i 9 innych

    - Rok 2016

    Due to the increasing dependence on network services of our society, research has recently been concentrating on enhancing traditional protection strategies to withstand large-scale failures, as in case of disaster events. The recently-formed EU-funded RECODIS project aims at coordinating and fostering research collaboration in Europe on disaster resiliency in communication networks. In particular, the Working Group (WG) 2 of the...

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  • Examples of AFM applications in liquid environment

    Dane Badawcze

    Important advantage of atomic force microscopy (also tunneling microscopy) is the ability to work in different environments (vacuum, controlled atmosphere, liquid environment). The last one, open interesting possibilities, such as imaging of delicate biological materials in their natural state. The use of electrochemical mode allows for the modification...

  • Analysis of energy efficiency of suburban railway transport network

    Publikacja

    Rising numbers of agglomeration residents cause increased need for people movement on daily basis. Because of congestion of local roads, air pollution and limited parking space, providing mass transit based on electric traction is reasonable. While the electric rail vehicles are considered highly efficient in themselves, they need to be analyzed as a part of a transport network, because energy consumption depends on operating conditions...

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  • Optimum Choice of Randomly Oriented Carbon Nanotube Networks for UV-Assisted Gas Sensing Applications

    Publikacja
    • K. Drozdowska
    • A. Rehman
    • J. Smulko
    • A. Krajewska
    • B. Stonio
    • P. Sai
    • A. Przewłoka
    • M. Filipiak
    • K. Pavłov
    • G. Cywinski... i 2 innych

    - ACS Sensors - Rok 2023

    We investigated the noise and photoresponse characteristics of various optical transparencies of nanotube networks to identify an optimal randomly oriented network of carbon nanotube (CNT)-based devices for UV-assisted gas sensing applications. Our investigation reveals that all of the studied devices demonstrate negative photoconductivity upon exposure to UV light. Our studies confirm the effect of UV irradiation on the electrical...

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  • Data Mining Applications and Methods in Medicine

    Publikacja

    In this paper we describe the research area of data mining and its applications in medicine. The origins of data mining and its crucial features are shortly presented. We discuss the specificity of medicine as an application area for computer systems. Characteristic features of the medical data are investigated. Common problems in the area are also presented as well as the strengths and capabilities of the data mining methods....

  • Budowa modelu prognostycznego dla farmy wiatrowej w środowisku MATLAB

    Liberalizacja rynku energii elektrycznej sprawiła, że branża elektroenergetyczna przechodzi obecnie dynamiczny rozwój różnych jej obszarów (aspektów). Jednym z aspektów jest prognozowanie mocy jednostek wytwórczych źródeł wiatrowych. W prognozowaniu wykorzystuje się różnego rodzaju narzędzia matematyczne. Autor niniejszej publikacji poświęcił szczególną uwagę sztucznym sieciom neuronowym. Za pomocą modeli neuronowych istnieje możliwość...

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  • Impact of Visual Image Quality on Lymphocyte Detection Using YOLOv5 and RetinaNet Algorithms

    Lymphocytes, a type of leukocytes, play a vital role in the immune system. The precise quantification, spatial arrangement and phenotypic characterization of lymphocytes within haematological or histopathological images can serve as a diagnostic indicator of a particular lesion. Artificial neural networks, employed for the detection of lymphocytes, not only can provide support to the work of histopathologists but also enable better...

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  • Analysis of the Capability of Deep Learning Algorithms for EEG-based Brain-Computer Interface Implementation

    Publikacja

    - Rok 2023

    Machine learning models have received significant attention for their exceptional performance in classifying electroencephalography (EEG) data. They have proven to be highly effective in extracting intricate patterns and features from the raw signal data, thereby contributing to their success in EEG classification tasks. In this study, we explore the possibilities of utilizing contemporary machine learning algorithms in decoding...

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  • Obtaining a Well-Trained Artificial Intelligence Algorithm from Cross-Validation in Endoscopy

    Publikacja

    The article shortly discusses endoscopic video analysis problems and artificial intelligence algorithms supporting it. The most common method of efficiency testing of these algorithms is to perform intensive cross-validation. This allows for accurately evaluate their performance of generalization. One of the main problems of this procedure is that there is no simple and universal way of obtaining a specific instance of a well-trained...

  • Rotor Blade Geometry Optimisation in Kaplan Turbine

    Publikacja

    The paper presents the description of method and results of rotor blade shape optimisation. The rotor blading constitutes a part ofturbine flow path. Optimisation consists in selection of the shape that minimises ratio of polytrophic loss. Shape of the blade isdefined by the mean camber line and thickness of the airfoil. Thickness is distributed around the camber line based on the ratio ofdistribution. Global optimisation was done...

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  • Multimodal Approach For Polysensory Stimulation And Diagnosis Of Subjects With Severe Communication Disorders

    Publikacja

    is evaluated on 9 patients, data analysis methods are described, and experiments of correlating Glasgow Coma Scale with extracted features describing subjects performance in therapeutic exercises exploiting EEG and eyetracker are presented. Performance metrics are proposed, and k-means clusters used to define concepts for mental states related to EEG and eyetracking activity. Finally, it is shown that the strongest correlations...

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  • Comparing the Effectiveness of ANNs and SVMs in Forecasting the Impact of Traffic-Induced Vibrations on Building

    Traffic - induced vibrations may cause damage to structural elements and may even lead to structural collapse. The aim of the article is to compare the effectiveness of algorithms in forecasting the impact of vibrations on buildings using the Machine Learning (ML) methods. The paper presents two alternative approaches by using Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs). Factors that may affect traffic-induced...

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  • Analyzing the Effectiveness of the Brain–Computer Interface for Task Discerning Based on Machine Learning

    Publikacja

    The aim of the study is to compare electroencephalographic (EEG) signal feature extraction methods in the context of the effectiveness of the classification of brain activities. For classification, electroencephalographic signals were obtained using an EEG device from 17 subjects in three mental states (relaxation, excitation, and solving logical task). Blind source separation employing independent component analysis (ICA) was...

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  • Quality of Service in ASON/GMPLS Network with Hierarchical Control Plane Structure

    Publikacja

    The paper presents the problem of quality of service for hierarchical control plane structure of Automatically Switched Optical Network (ASON) utilizing Generalized Multi-Protocol Label Switching (GMPLS). The approach is implemented to control the multidomain network with required quality of service, in a use case of incomplete domain network information. The authors examine different factors, including resource reservation algorithms...

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  • 2022-2023 - Strenght of materials towards applications, PG_00053661

    Kursy Online
    • M. K. Gerigk

    The course is mainly dedicated to the DAPE Students.  From the theoretical point of view the course consists of the following problems to be discussed during the lectures and exercises: -fundamentals of strength of materials -basic structures and environment -loads on structures -strength of materials: tension, stress, analysis of stress and strain, bending moments and shearing forces, longitudinal and shearing stress in beams,...

  • Evaluation of multimedia applications in a cluster oriented environment

    In the age of Information and Communication Technology (ICT), Web and the Internet have changed significantly the way applications are developed, deployed and used. One of recent trends is modern design of web-applications based on SOA. This process is based on the composition of existing web services into a single scenario from the point of view of a particular user or client. This allows IT companies to shorten product time-to-market....

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  • PROGRAMMABLE YANG - BASED INTERFACE IN CONTROL OF OPTICAL TRANSPORT NETWORK

    Since over a decade we observe intensive effort of research institutions and industrial consortia on extending flexibility and automation of the transport network control also known under the term network programmability. Key aspect of each programming interface is ability to evolve but also sensitivity to future modifications. As indicated in the past work in the specific context of optical transport networks an important criterion...

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  • The Performance of ASON/GMPLS Network with Hierarchical Control Plane Structure

    Publikacja

    The paper regards the problem of ASON/GMPLS network performance with hierarchical control plane structure in condition of incomplete domain network information. The authors propose the hierarchical ASON/GMPLS control plane architecture, which fulfills the requirements of modern optical networks and allows to control the multidomain network with requirement quality of service. The authors examine the scalability and properties of...

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  • Next generation ITS implementation aspects in 5G wireless communication network

    Publikacja

    - Rok 2017

    In the paper the study of Intelligent Transportation systems implementation in the 5G wireless communication network is presented. Firstly, small-cell concept in Ultra Dense Heterogeneous network was analyzed. Secondly, the 5G network requirements were presented which are important from the point of view of transportation systems development. Next, the study on the 5G network architectures proposals dedicated to the ITS systems...

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  • Modeling emotions for affect-aware applications

    The chapter concerns emotional states representation and modeling for software systems, that deal with human affect. A review of emotion representation models is provided, including discrete, dimensional and componential models. The paper provides also analysis of emotion models used in diverse types of affect-aware applications: games, mood trackers or tutoring systems. The analysis is supported with two design cases. The study...

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  • Application of BAN Network to Increase Security in Transport Systems

    Publikacja

    - Rok 2017

    In the article general characteristics of the BAN network with M2M communications are presented. These are networks that enable the implementation of wireless transmission of signals using special sensors located on the body or implanted subcutaneously. These sensors allow monitoring of different type life parameters of a human. In the next part of work there is proposed the implementation of BAN networks to transport systems as...

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  • Agent-based social network as a simulation of a market behaviour

    Publikacja

    - Rok 2010

    Recent years and the outbreak of world's economic crisis in 2008 proved the crucial importance of reliable analysis of market dynamics. However, werarely apply models of proper detail level (the global prosperity forecast of 2007 can be seen as a grim proof). The behaviour of individuals and companies is far from being ideal and rational. Many claims that the economic paradigm of rational expectations (coming from J. Muth and R....

  • Emotion Recognition and Its Applications

    The paper proposes a set of research scenarios to be applied in four domains: software engineering, website customization, education and gaming. The goal of applying the scenarios is to assess the possibility of using emotion recognition methods in these areas. It also points out the problems of defining sets of emotions to be recognized in different applications, representing the defined emotional states, gathering the data and...

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  • The Central European GNSS Research Network (CEGRN) dataset

    Publikacja
    • J. Zurutuza
    • A. Caporali
    • M. Bertocco
    • M. Ishchenko
    • O. Khoda
    • H. Steffen
    • M. Figurski
    • E. Parseliunas
    • S. Berk
    • G. Nykiel

    - Data in Brief - Rok 2019

    The Central European GNSS Research Network (CEGRN) collects GNSS data since 1994 from contributors which today include 42 Institutions in 33 Countries. CEGRN returns a dataset of coordinates and velocities computed according to international standards and the most recent processing procedures and recommendations. We provide a dataset of 1229 positions and velocities resulting from 3 or more repetitions of coordinate measurements...

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  • Raman miniaturised system for field applications

    Raman spectroscopy is a powerful and versatile research technique with a broad range of potential applications, which includes laboratory studies, on-line industrial process monitoring and field measurements. Scope of the field applications includes environment monitoring, detection of dangerous or prohibited materials and rapid identification of unknown samples. It stimulates development of dedicated Raman measurement equipment...

  • Usability of Mobile Applications: A Consolidated Model

    Publikacja

    - IEEE Access - Rok 2024

    Mobile devices have become an integral part of the digital ecosystem, connecting people, businesses, and information around the world in ways never before possible. In particular, smartphones, tablets and other handheld devices equipped with mobile applications have changed every aspect of our lives. Today, a user can choose from nearly five million applications available for both Android and iOS operating systems. However, only...

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  • Tailor-Made Polysaccharides for Biomedical Applications

    Publikacja

    - ACS Applied Bio Materials - Rok 2024

    Polysaccharides (PSAs) are carbohydrate-based macromolecules widely used in the biomedical field, either in their pure form or in blends/nanocomposites with other materials. The relationship between structure, properties, and functions has inspired scientists to design multifunctional PSAs for various biomedical applications by incorporating unique molecular structures and targeted bulk properties. Multiple strategies, such as...

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  • On Software Unit Testing For Improving Security And Performance Of Distributed Applications

    Performance and security are software (SW) application attributes situated on the opposite corners of system design. In the most drastic example the most secure component is the one totally isolated from the outside world, with communication performance reduced to zero level (e.g. disconnected physically from the network, placed inside a Faraday cage to eliminate possible wireless accessibility). On the other hand the most performance-optimized...

  • 2D MXene nanocomposites: electrochemical and biomedical applications

    Publikacja
    • M. Ramezani Farani
    • B. Nourmohammadi Khiarak
    • R. Tao
    • Z. Wang
    • S. Ahmadi
    • M. Hassanpour
    • M. Rabiee
    • M. Saeb
    • E. C. Lima
    • N. Rabiee

    - Environmental Science-Nano - Rok 2022

    In recent years, key questions about the interaction of 2D MXene nanomaterials in electrochemical and biomedical applications have been raised. Most research has focused on clarifying the exclusive properties of the materials; however, only limited reports have described the biomedical applications of 2D nanomaterials. 2D MXenes are monolayer atomic nanosheets resulting from MAX phase ceramics. The hydrophilic properties, metallic...

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  • Graphene Production and Biomedical Applications: A Review

    Publikacja

    Graphene is a two-dimensional nanomaterial composed of carbon atoms with sp2 hybrid orbitals. Both graphene and graphene-based composite have gained broad interest among researchers because of their outstanding physiochemical, mechanical, and biological properties. Graphene production techniques are divided into top-down and bottom-up synthesis methods, of which chemical vapor deposition (CVD) is the most popular. The biomedical...

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  • Strenght of materials towards applications, PG_00053661

    Kursy Online
    • M. K. Gerigk

    The aim of the course is to perform the following subjects: 1. LECTURE No.1 - INTRODUCTION TO SELECTED PROBLEMS OF MACHINE DYNAMICS. STRUCTURES and MACHINES 2. LECTURE No.2 - ENVIRONMENT, LOADS ON STRUCTURES and MACHINES 3. LECTURE No.3 - DYNAMICS of STRUCTURES and MACHINES 4. LECTURE No.4 - STRENGTH of STRUCTURES and MACHINES 5. LECTURE No.5 - SPECIAL PROBLEMS ASSOCIATED with DYNAMICS and STRENGTH of STRUCTURES and MACHINES

  • Modeling energy consumption of parallel applications

    The paper presents modeling and simulation of energy consumption of two types of parallel applications: geometric Single Program Multiple Data (SPMD) and divide-and-conquer (DAC). Simulation is performed in a new MERPSYS environment. Model of an application uses the Java language with extension representing message exchange between processes working in parallel. Simulation is performed by running threads representing distinct process...

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  • THE 3D MODEL OF WATER SUPPLY NETWORK WITH APPLICATION OF THE ELEVATION DATA

    Publikacja

    - Rok 2017

    3D visualization is a key element of research and analysis and as the source used by experts in various fields e.g.: experts from water and sewage systems. The aim of this study was to visualize in three-dimensional space model of water supply network with relief. The path of technological development of GESUT data (Geodezyjna Ewidencja Sieci Uzbrojenia Terenu – geodetic records of public utilities) for water supply and measurement...

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  • 5G Technologies in Intelligent Transport Systems - Architectures, Virtualization and Network Slicing

    In the paper, 5G communication technologies implemented for Intelligent Transport Systems are discussed. Firstly, the essence of the 5G system concept is presented, and the problem of network functions virtualization (NFV) is analyzed. Moreover, the principle of virtualization is explained. Secondly, the analysis of network slicing is performed, from the point of view of transport systems implementation in the...

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  • Digital Audio Broadcasting or Webcasting: A Network Quality Perspective

    In recent years, many alternative technologies of delivering audio content have emerged, with different advantages and disadvantages. In this paper pros and cons of digital audio broadcasting and webcasting transmission techniques in a network quality perspective are described. A case study of user expectations with respect to currently available services is analyzed, and the perceived quality of real digital broadcasted and webcasted...

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