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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: 152

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wyczyść Filtry wybranego katalogu niedostępne

Katalog Czasopism

  • 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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  • 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...

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  • Reinforcement Learning Algorithm and FDTD-based Simulation Applied to Schroeder Diffuser Design Optimization
    Publikacja

    The aim of this paper is to propose a novel approach to the algorithmic design of Schroeder acoustic diffusers employing a deep learning optimization algorithm and a fitness function based on a computer simulation of the propagation of acoustic waves. The deep learning method employed for the research is a deep policy gradient algorithm. It is used as a tool for carrying out a sequential optimization process the goal of which is...

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  • Overview of Approaches for Compensating Inherent Metamaterials Losses
    Publikacja

    - IEEE Access - Rok 2022

    Metamaterials are synthetic composite structures with extraordinary electromagnetic properties not readily accessible in ordinary materials. These media attracted massive attention due to their exotic characteristics. However, several issues have been encountered, such as the narrow bandwidth and inherent losses that restrict the spectrum and the variety of their applications. The losses have become the principal limiting factor...

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  • A Cross-Polarisation Discrimination Analysis of Off-Body Channels in Passenger Ferryboat Environments
    Publikacja

    - IEEE Access - Rok 2022

    There is a need for investigating radio channels for Body Area Networks considering the depolarisation phenomenon and new types of environments, since these aspects are becoming very important for systems design and deployment. This paper presents an analysis of cross-polarisation discrimination for off-body channels based on a measurement campaign performed in a passenger ferryboat, i.e., where all walls, floors and ceilings are...

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  • QRS Morphology-Based EDR Signal—Factors Determining its Properties
    Publikacja

    Respiration-induced signals contain a clinically significant information. It could be obtained utilizing both direct and indirect methods. ECG-Derived Respiration (EDR) method is the latter one. However, in this case, two approaches could be distinguished. First one is based on determining changes in the morphology of QRS complexes while the second one is based on the Respiratory Sinus Arrhythmia (RSA) mechanism. The former approach...

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  • Highly-Miniaturized Dual-Mode Bandpass Filter Based on Quarter-Mode Substrate Integrated Waveguide with Wide Stopband
    Publikacja

    - IEEE Access - Rok 2022

    This paper presents a novel design of a highly-miniaturized dual-mode bandpass filter (BPF) employing a quarter-mode substrate integrated waveguide (QMSIW). The QMSIW resonator is based on a square cavity with metallic vias along two sides, and open-ended edges at the remaining sides that contain orthogonal feed lines. An open slot is introduced along the two sides of the square cavity with metallic vias to form a magnetic wall....

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  • A Model-Order Reduction Approach for Electromagnetic Problems With Nonaffine Frequency Dependence
    Publikacja

    - IEEE Access - Rok 2021

    The aim of this paper is to present a novel model-order reduction (MOR) technique for the efcient frequency-domain nite-element method (FEM) simulation of microwave components. It is based on the standard reduced-basis method, but the subsequent expansion frequency points are selected following the so-called sparsied greedy strategy. This feature makes it especially useful to perform a fast-frequency sweep of problems that lead...

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  • Accelerated Re-Design of Antenna Structures Using Sensitivity-Based Inverse Surrogates
    Publikacja

    The paper proposes a novel framework for accelerated re-design (dimension scaling) of antenna structures using inverse surrogates. The major contribution of the work is a sensitivity-based model identification procedure, which permits a significant reduction of the number of reference designs required to render the surrogate. Rigorous formulation of the approach is supplemented by its comprehensive numerical validation using a...

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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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  • 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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  • 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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  • Scoreboard Architectural Pattern and Integration of Emotion Recognition Results
    Publikacja

    This paper proposes a new design pattern, named Scoreboard , dedicated for applications solving complex, multi-stage, non-deterministic problems. The pattern provides a computational framework for the design and implementation of systems that integrate a large number of diverse specialized modules that may vary in accuracy, solution level, and modality. The Scoreboard is an extension of Blackboard design pattern and comes under...

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  • 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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  • On Improved-Reliability Design Optimization of High-Frequency Structures Using Local Search Algorithms

    The role of numerical optimization has been continuously growing in the design of high-frequency structures, including microwave and antenna components. At the same time, accurate evaluation of electrical characteristics necessitates full-wave electromagnetic (EM) analysis, which is CPU intensive, especially for complex systems. As rigorous optimization routines involve repetitive EM simulations, the associated cost may be significant....

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  • Predicting emotion from color present in images and video excerpts by machine learning
    Publikacja

    This work aims at predicting emotion based on the colors present in images and video excerpts using a machine-learning approach. The purpose of this paper is threefold: (a) to develop a machine-learning algorithm that classifies emotions based on the color present in an image, (b) to select the best-performing algorithm from the first phase and apply it to film excerpt emotion analysis based on colors, (c) to design an online survey...

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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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  • Shape Memory Alloy-Based Fluidically Reconfigurable Metasurfaced Beam Steering Antenna
    Publikacja

    - IEEE Access - Rok 2023

    A low-cost actuator-based fluidically programmable metasurface (FPMS) antenna is proposed to solve the slow tuning speed problem of the manually fluidic based reconfigurable antennas. The FPMS-based antenna is probe-fed and comprises a 4 × 4 square ring metasurface as a superstrate. Moreover, two shape memory alloy (SMA)-based electrically-controlled actuators are employed in the design for controlling the position of the 3D-printed...

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  • User Authentication by Eye Movement Features Employing SVM and XGBoost Classifiers
    Publikacja

    Devices capable of tracking the user’s gaze have become significantly more affordable over the past few years, thus broadening their application, including in-home and office computers and various customer service equipment. Although such devices have comparatively low operating frequencies and limited resolution, they are sufficient to supplement or replace classic input interfaces, such as the keyboard and mouse. The biometric...

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  • Strategies for Dealing With Software Product Management Challenges
    Publikacja

    Software product management, which involves multiple processes and responsibilities and links to many activities within the organisation, increases the success rate of IT projects. However, the adoption of product management activities and the implementation of the software product manager role itself varies between companies. This research explores the topic of software product managers’ strategies for dealing with challenges...

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