Wyniki wyszukiwania dla: 5G NETWORK SLICING VIRTUALISATION MARITIME COMMUNICATION 5G ARCHITECTURE - MOST Wiedzy

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Wyniki wyszukiwania dla: 5G NETWORK SLICING VIRTUALISATION MARITIME COMMUNICATION 5G ARCHITECTURE

Wyniki wyszukiwania dla: 5G NETWORK SLICING VIRTUALISATION MARITIME COMMUNICATION 5G ARCHITECTURE

  • Analysis of the impact of socio-economic development on road safety based on the example of Baltic Sea Region countries

    Publikacja

    Baltic Sea Region (BSR) is a specific region of Europe, bringing together countries with different levels of socio-economic development. The main common point is territorial access to the Baltic Sea and the importance of maritime transport in the transportation of goods. The region consists of 9 countries, including Germany, Poland, Lithuania, Latvia, Estonia, Finland, Sweden, Denmark and Russia (more specifically, Kaliningrad...

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  • Enhancing Renal Tumor Detection: Leveraging Artificial Neural Networks in Computed Tomography Analysis

    Publikacja

    Renal cell carcinoma is one of the most common cancers in Europe, with a total incidence rate of 18.4 cases per 100 000 population. There is currently significant overdiagnosis (11% to 30.9%) at times of planned surgery based on radiological studies. The purpose of this study was to create an artificial neural network (ANN) solution based on computed tomography (CT) images as an additional tool to improve the differentiation of...

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  • Improved Modeling of Microwave Structures Using Performance-Driven Fully-Connected Regression Surrogate

    Publikacja

    - IEEE Access - Rok 2021

    Fast replacement models (or surrogates) have been widely applied in the recent years to accelerate simulation-driven design procedures in microwave engineering. The fundamental reason is a considerable—and often prohibitive—CPU cost of massive full-wave electromagnetic (EM) analyses related to solving common tasks such as parametric optimization or uncertainty quantification. The most popular class of surrogates are data-driven...

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  • Development of an AI-based audiogram classification method for patient referral

    Publikacja

    - Rok 2022

    Hearing loss is one of the most significant sensory disabilities. It can have various negative effects on a person's quality of life, ranging from impeded school and academic performance to total social isolation in severe cases. It is therefore vital that early symptoms of hearing loss are diagnosed quickly and accurately. Audiology tests are commonly performed with the use of tonal audiometry, which measures a patient's hearing...

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  • OOA-modified Bi-LSTM network: An effective intrusion detection framework for IoT systems

    Publikacja
    • S. S. Narayana Chintapalli
    • S. Prakash Singh
    • J. Frnda
    • B. P. Divakarachar
    • V. L. Sarraju
    • P. Falkowski-Gilski

    - Heliyon - Rok 2024

    Currently, the Internet of Things (IoT) generates a huge amount of traffic data in communication and information technology. The diversification and integration of IoT applications and terminals make IoT vulnerable to intrusion attacks. Therefore, it is necessary to develop an efficient Intrusion Detection System (IDS) that guarantees the reliability, integrity, and security of IoT systems. The detection of intrusion is considered...

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  • Reinforced Secure Gossiping Against DoS Attacks in Post-Disaster Scenarios

    Publikacja

    - IEEE Access - Rok 2020

    During and after a disaster, the perceived quality of communication networks often becomes remarkably degraded with an increased ratio of packet losses due to physical damages of the networking equipment, disturbance to the radio frequency signals, continuous reconfiguration of the routing tables, or sudden spikes of the network traffic, e.g., caused by the increased user activity in a post-disaster period. Several techniques have...

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  • Personal branding of artists and art-designers: necessity or desire?

    Publikacja

    Purpose Personal branding becomes a new in-demand skill for all professionals today. To be well-known helps to achieve success in the networked business environment. Personal relationships and a good reputation in the reality of network economy help young artists and art designers move up the career ladder. This paper aims to discuss a problem of artists who often find it difficult to define their artistic and self-distinction...

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  • Performance and Security Testing for Improving Quality of Distributed Applications Working in Public/Private Network Environments

    Publikacja

    - Rok 2010

    The goal of this dissertation is to create an integrated testing approach to distributed applications, combining both security and performance testing methodologies, allowing computer scientist to achieve appropriate balance between security and performance charakterstics from application requirements point of view. The constructed method: Multidimensional Approach to Quality Analysis (MA2QA) allows researcher to represent software...

  • Sławomir Ostrowski dr inż.

    Sławomir Ostrowski jest pracownikiem naukowo-dydaktycznym zatrudnionym na stanowisku adiunkta w Katedrze Informatyki w Zarządzaniu na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej. W 2018 roku uzyskał stopień doktora nauk ekonomicznych w dyscyplinie: nauki o zarządzaniu. Absolwent jednolitych studiów magistersko-inżynierskich na kierunku Zarządzanie (specjalność Zarządzanie Technologiami IT) na Wydziale Zarządzania i Ekonomii...

  • Analysis of IPv6 handovers in IEEE 802.16 environment

    The second generation of WiMAX solutions, based on IEEE 802.16-2005 standard, offers limited mobility support. Unfortunately, after quickly changing the point of attachment on the WiMAX data link layer (DLL), very slow and inefficient IPv6 reconfiguration takes place. Delays introduced by automatic configuration (DHCPv6 and IPv6 protocols) and Mobile IPv6 can easily diminish or even render useless all benefits gained using the...

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  • Energy efficiency of electric multiple units in suburban operation

    Publikacja

    - Rok 2023

    This thesis presents approach to analysis of energy efficiency of a suburban rail network, using novel models developed on the Matlab/Simulink basis. Necessary features and requirements for such models were determined thru in-depth review of the source literature in all applicable fields: electrified transportation systems, electric multiple units construction, vehicle drivetrains and finally, existing simulation methods. Existing...

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  • DEEP LEARNING BASED ON X-RAY IMAGING IMPROVES COXARTHROSIS DETECTION

    Publikacja
    • M. Maj
    • J. Borkowski
    • J. Wasilewski
    • S. Hrynowiecka
    • A. Kastrau
    • M. Liksza
    • P. Jasik
    • M. Treder

    - Rok 2022

    Objective: The purpose of the study was to create an Artificial Neural Network (ANN) based on X-ray images of the pelvis, as an additional tool to automate and improve the diagnosis of coxarthrosis. The research is focused on joint space narrowing, which is a radiological symptom showing the thinning of the articular cartilage layer, which is translucent to X-rays. It is the first and the most important of the radiological signs...

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  • Model-Based Adaptive Machine Learning Approach in Concrete Mix Design

    Publikacja

    Concrete mix design is one of the most critical issues in concrete technology. This process aims to create a concrete mix which helps deliver concrete with desired features and quality. Contemporary requirements for concrete concern not only its structural properties, but also increasingly its production process and environmental friendliness, forcing concrete producers to use both chemically and technologically complex concrete...

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