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wszystkich: 14

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Rok 2021
  • Big Data from Sensor Network via Internet of Things to Edge Deep Learning for Smart City
    Publikacja

    - Rok 2021

    Data from a physical world is sampled by sensor networks, and then streams of Big Data are sent to cloud hosts to support decision making by deep learning software. In a smart city, some tasks may be assigned to smart devices of the Internet of Things for performing edge computing. Besides, a part of workload of calculations can be transferred to the cloud hosts. This paper proposes benchmarks for division tasks between an edge...

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  • Multi-objective Tabu-based Differential Evolution for Teleportation of Smart Virtual Machines in Private Computing Clouds
    Publikacja

    - Rok 2021

    We propose a multi-objective approach for using differential evolution algorithm with tabu search algorithm as an additional mutation for live migration (teleportation) of virtual machines. This issue is crucial in private computing clouds. Teleportation of virtual machines is supposed to be planned to determine Pareto-optimal solutions for several criteria such as workload of the bottleneck host, communication capacity of the...

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Rok 2020
  • Multi-criteria Differential Evolution for Optimization of Virtual Machine Resources in Smart City Cloud
    Publikacja

    - Rok 2020

    In a smart city, artificial intelligence tools support citizens and urban services. From the user point of view, smart applications should bring computing to the edge of the cloud, closer to citizens with short latency. However, from the cloud designer point of view, the trade-off between cost, energy and time criteria requires the Pareto solutions. Therefore, the proposed multi-criteria differential evolution can optimize virtual...

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Rok 2019
  • Big Data and the Internet of Things in Edge Computing for Smart City
    Publikacja

    - Rok 2019

    Requests expressing collective human expectations and outcomes from city service tasks can be partially satisfied by processing Big Data provided to a city cloud via the Internet of Things. To improve the efficiency of the city clouds an edge computing has been introduced regarding Big Data mining. This intelligent and efficient distributed system can be developed for citizens that are supposed to be informed and educated by the...

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  • Some Artificial Intelligence Driven Algorithms For Mobile Edge Computing in Smart City
    Publikacja

    - Rok 2019

    Smart mobile devices can share computing workload with the computer cloud that is important when artificial intelligence tools support computer systems in a smart city. This concept brings computing on the edge of the cloud, closer to citizens and it can shorten latency. Edge computing removes a crucial drawback of the smart city computing because city services are usually far away from citizens, physically. Besides, we introduced...

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Rok 2018
  • Social media and efficient computer infrastructure in smart city
    Publikacja

    - Rok 2018

    Social media require an efficient infrastructures of computer and communication systems to support a smart city. In a big city, there are several crucial dilemmas with a home and public space planning, a growing population, a global warming, carbon emissions, a lack of key resources like water and energy, and a traffic congestion. In a smart city, we expect an efficient and sustainable transportation, efficient management of resources...

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  • Social media for e-learning of citizens in smart city
    Publikacja

    - Rok 2018

    The rapid development of social media can be applied for citizens’ e-learning in a smart city. Big cities have to cope with several open issues like a growing population or a traffic congestion. Especially, a home and public space is supposed to be used in more efficient way. Sustainable homes and buildings can be planned with using some modern techniques. Even currently, there is a huge problem with a lack of key resources like...

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Rok 2017
Rok 2016
  • Harmony Search for Data Mining with Big Data
    Publikacja

    - Rok 2016

    In this paper, some harmony search algorithms have been proposed for data mining with big data. Three areas of big data processing have been studied to apply new metaheuristics. The first problem is related to MapReduce architecture that can be supported by a team of harmony search agents in grid infrastructure. The second dilemma involves development of harmony search in preprocessing of data series before data mining. Moreover,...

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  • Metody neuronowe do prognozowania finansowego
    Publikacja

    - Współczesna Gospodarka - Rok 2016

    Sztuczne sieci neuronowe mogą być stosowane do prognozowania kursów akcji na giełdzie, oceny wiarygodności kredytobiorców czy prognozowania kryzysów bankowych. W referacie omówiono zasady współpracy sieci neuronowych z algorytmami ewolucyjnymi oraz metodą wektorów wspierających. Ponadto, odniesiono się do pozostałych metod sztucznej inteligencji, które stosowane są w finansach.

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Rok 2015

wyświetlono 907 razy