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IEEE Access

ISSN:

2169-3536

Dyscypliny:

  • Architektura i urbanistyka (Dziedzina nauk inżynieryjno-technicznych)
  • Automatyka, elektronika, elektrotechnika i technologie kosmiczne (Dziedzina nauk inżynieryjno-technicznych)
  • Informatyka techniczna i telekomunikacja (Dziedzina nauk inżynieryjno-technicznych)
  • Inżynieria biomedyczna (Dziedzina nauk inżynieryjno-technicznych)
  • Inżynieria lądowa, geodezja i transport (Dziedzina nauk inżynieryjno-technicznych)
  • Inżynieria materiałowa (Dziedzina nauk inżynieryjno-technicznych)
  • Inżynieria mechaniczna (Dziedzina nauk inżynieryjno-technicznych)
  • Inżynieria środowiska, górnictwo i energetyka (Dziedzina nauk inżynieryjno-technicznych)
  • Biologia medyczna (Dziedzina nauk medycznych i nauk o zdrowiu)
  • Nauki o zarządzaniu i jakości (Dziedzina nauk społecznych)
  • Biotechnologia (Dziedzina nauk ścisłych i przyrodniczych)
  • Informatyka (Dziedzina nauk ścisłych i przyrodniczych)
  • Nauki chemiczne (Dziedzina nauk ścisłych i przyrodniczych)

Punkty Ministerialne: Pomoc

Punkty Ministerialne - aktualny rok
Rok Punkty Lista
Rok 2024 100 Ministerialna lista czasopism punktowanych 2024
Punkty Ministerialne - lata ubiegłe
Rok Punkty Lista
2024 100 Ministerialna lista czasopism punktowanych 2024
2023 100 Lista ministerialna czasopism punktowanych 2023
2022 100 Lista ministerialna czasopism punktowanych (2019-2022)
2021 100 Lista ministerialna czasopism punktowanych (2019-2022)
2020 100 Lista ministerialna czasopism punktowanych (2019-2022)
2019 100 Lista ministerialna czasopism punktowanych (2019-2022)
2018 25 A
2017 25 A
2016 25 A

Model czasopisma:

Open Access

Punkty CiteScore:

Punkty CiteScore - aktualny rok
Rok Punkty
Rok 2022 9
Punkty CiteScore - lata ubiegłe
Rok Punkty
2022 9
2021 6.7
2020 4.8
2019 3.9
2018 3.1
2017 2.4
2016 3.5
2015 2.7
2014 1.4
2013 0.8

Impact Factor:

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Filtry

wszystkich: 146

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wyczyść Filtry wybranego katalogu niedostępne

Katalog Czasopism

Rok 2023
  • 5G Millimeter Wave Network Optimization: Dual Connectivity and Power Allocation Strategy
    Publikacja

    - IEEE Access - Rok 2023

    The fifth generation (5G) of mobile networks utilizing millimeter Wave (mmWave) bands can be considered the leading player in meeting the continuously increasing hunger of the end user demands in the near future. However, 5G networks are characterized by high power consumption, which poses a significant challenge to the efficient management of base stations (BSs) and user association. Implementing new power consumption and user...

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  • A Low-Cost System for Far-Field Non-Anechoic Measurements of Antenna Performance Figures

    Prototype measurements are the key step in the development of antenna structures. Typically, their far-field characteristics are validated in expensive, dedicated facilities such as open range sites, or anechoic chambers. Despite being necessary for obtaining high-precision data (e.g., for device qualification), the use of costly infrastructure might not be fully justified when the main goal of measurements includes demonstration...

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  • A Novel Spatio–Temporal Deep Learning Vehicle Turns Detection Scheme Using GPS-Only Data
    Publikacja

    - IEEE Access - Rok 2023

    Whether the computer is driving your car or you are, advanced driver assistance systems (ADAS) come into play on all levels, from weather monitoring to safety. These modern-day ADASs use various assisting tools for drivers to keep the journey safe; these sophisticated tools provide early signals of numerous events, such as road conditions, emerging traffic scenarios, and weather warnings. Many urban applications, such as car-sharing...

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  • A Parallel Corpus-Based Approach to the Crime Event Extraction for Low-Resource Languages
    Publikacja
    • N. Khairova
    • O. Mamyrbayev
    • N. Rizun
    • M. Razno
    • G. Ybytayeva

    - IEEE Access - Rok 2023

    These days, a lot of crime-related events take place all over the world. Most of them are reported in news portals and social media. Crime-related event extraction from the published texts can allow monitoring, analysis, and comparison of police or criminal activities in different countries or regions. Existing approaches to event extraction mainly suggest processing texts in English, French, Chinese, and some other resource-rich...

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  • Artificial Neural Network (ANN)-Based Voltage Stability Prediction of Test Microgrid Grid
    Publikacja

    - IEEE Access - Rok 2023

    Pełny tekst do pobrania w serwisie zewnętrznym

  • Autoencoder application for anomaly detection in power consumption of lighting systems
    Publikacja

    - IEEE Access - Rok 2023

    Detecting energy consumption anomalies is a popular topic of industrial research, but there is a noticeable lack of research reported in the literature on energy consumption anomalies for road lighting systems. However, there is a need for such research because the lighting system, a key element of the Smart City concept, creates new monitoring opportunities and challenges. This paper examines algorithms based on the deep learning...

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  • Bandwidth Dependence of the Propagation Channel in Circular Metallic BAN Environments
    Publikacja

    - IEEE Access - Rok 2023

    In this paper, the bandwidth dependence of the propagation channel for Body Area Networks (BANs) in circular metallic environments is addressed and models are proposed to evaluate the appropriate short-term fading margins that should be considered as a function of the system bandwidth. The deployment of BANs in metallic indoor environments, such as ships, factories, warehouses and other similar environments, involves additional...

    Pełny tekst do pobrania w portalu

  • Breast MRI segmentation by deep learning: key gaps and challenges
    Publikacja

    Breast MRI segmentation plays a vital role in early diagnosis and treatment planning of breast anomalies. Convolutional neural networks with deep learning have indicated promise in automating this process, but significant gaps and challenges remain to address. This PubMed-based review provides a comprehensive literature overview of the latest deep learning models used for breast segmentation. The article categorizes the literature...

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  • Buried Object Characterization Using Ground Penetrating Radar Assisted by Data-Driven Surrogate-Models
    Publikacja
    • R. Yurt
    • H. Torpi
    • P. Mahouti
    • A. Kizilay
    • S. Kozieł

    - IEEE Access - Rok 2023

    This work addresses artificial-intelligence-based buried object characterization using 3-D full-wave electromagnetic simulations of a ground penetrating radar (GPR). The task is to characterize cylindrical shape, perfectly electric conductor (PEC) object buried in various dispersive soil media, and in different positions. The main contributions of this work are (i) development of a fast and accurate data driven surrogate modeling...

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  • Design of compact self-quintuplexing antenna with high-isolation for penta-band applications
    Publikacja

    - IEEE Access - Rok 2023

    This article presents a novel compact self-quintuplexing antenna architecture based on a substrate-integrated rectangular cavity (SIRC) for pentaband applications. The proposed self-quintuplexing antenna is constructed by employing an SIRC, one Pi-shaped slot (PSS), one T-shaped slot (TSS), and five 50Ω microstrip feedlines. The PSS and TSS are engraved on the top of the SIRC to create five radiating patches, which are excited...

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  • Design of Frequency-Reconfigurable Branch-Line Crossover Using Rectangular Dielectric Channels
    Publikacja

    - IEEE Access - Rok 2023

    This paper presents an efficient yet straightforward passive reconfiguration technique to tune the operating frequency of a branch-line crossover (BLCO). The underlying principle is to fill rectangular dielectric channels (RDCs) prepared beforehand with either air or materials of different relative permittivity. Two configurations (one RDC and three RDCs in each arm) of the branch-line crossover are employed to estimate the tunability...

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