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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 2025 100 Ministerialna lista czasopism punktowanych 2024
Punkty Ministerialne - lata ubiegłe
Rok Punkty Lista
2025 100 Ministerialna lista czasopism punktowanych 2024
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 2023 9.8
Punkty CiteScore - lata ubiegłe
Rok Punkty
2023 9.8
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:

Zaloguj się aby zobaczyć Współczynnik Impact Factor dla tego czasopisma

Filtry

wszystkich: 180

  • Kategoria
  • Rok
  • Opcje

wyczyść Filtry wybranego katalogu niedostępne

Katalog Czasopism

Rok 2025
  • A Miniaturized and High Optically Transparent Frequency Selective Surface for RF Shielding using Double-Glazed Glass Windows for Green Building Applications
    Publikacja

    - IEEE Access - Rok 2025

    This research presents a miniaturized and high optically transparent (OT) frequency selective surface (FSS) for achieving RF shielding through glass window panels. The proposed FSS consists of a single-layered copper pattern sandwiched between two ordinary glass substrates to suppress the dual bands of sub-6 fifth generation (5G). In particular, the design effectively shields n65-downlink (2.1 GHz) and a portion of n78-band (3.5...

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  • Evaluation of Selected Modulation Techniques in Underwater Multipath Channel
    Publikacja

    - IEEE Access - Rok 2025

    There is a growing interest in the use of Autonomous Underwater Vehicles (AUVs) and Underwater Sensor Networks (USNs) for scientific, military, and industrial applications, leading to the development of wireless underwater communications. However, the channel for Underwater Acoustic (UWA) communications is challenging compared to the radio wave propagation in the air. Especially in shallow waters, where the channel has strong multipath...

    Pełny tekst do pobrania w serwisie zewnętrznym

  • Power Transmission for Millimeter-Wave Indoor/Outdoor Wearable IoT Devices Using Grounded Coplanar Waveguide-Fed On-Body Antenna
    Publikacja
    • F. Erman
    • S. Kozieł
    • A. Zyoud
    • L. Leifsson
    • U. Ubaid
    • S. Alkaraki

    - IEEE Access - Rok 2025

    This paper presents for the first-time evaluation of wireless power transmission (WPT) for sustainable low-powered Internet of Things (IoT) devices in realistic indoor/outdoor scenarios using empirical propagation models at 28 GHz. The used empirical propagation models have shown that using an on-body 9×9 mm-wave rectenna array based on a proposed mm-wave antenna is able to charge IoT devices at a distance of 57 m for line-of-sight...

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  • Two Approaches to Constructing Certified Dominating Sets in Social Networks
    Publikacja

    - IEEE Access - Rok 2025

    Social networks are an important part of our community. In this context, certified dominating sets help to find in networks a group of people, referring as officials, such that 1) for each civilian, there is an official that can serve the civilian, and 2) no official is adjacent to exactly one civilian, to prevent potential abuses. To delve deeper into this topic, this study considers two approaches to the problem of finding certified...

    Pełny tekst do pobrania w serwisie zewnętrznym

Rok 2024
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...

    Pełny tekst do pobrania w portalu

  • A Hybrid Method for Objective Quality Assessment of Binary Images
    Publikacja

    In the paper, a novel hybrid method for an automatic quality assessment of binary images is proposed that may be useful, e.g., for computationally limited embedded systems or Optical Character Recognition applications. Since the quality of binary images used as the input for further image analysis strongly influences the obtained results, a reliable evaluation of their quality is a crucial element for the validation of such...

    Pełny tekst do pobrania w serwisie zewnętrznym

  • 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...

    Pełny tekst do pobrania w portalu

  • 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

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  • 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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