Results 61 to 70 of about 2,862,716 (291)

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

open access: yesArthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling   +4 more
wiley   +1 more source

Enhancing Secure Energy Efficiency of SWIPT IoT Network Considering IRS and Artificial-Noise: A Deep Learning Approach

open access: yesIEEE Access
Internet of things (IoT) networks connect sensing devices to the Internet for tasks like tracking, monitoring, and data analysis. However, the large data generated, especially in resource-heavy services, challenges energy efficiency (EE) and security ...
Kimchheang Chhea, Jung-Ryun Lee
doaj   +1 more source

Artificial Noise Versus Artificial Noise Elimination: Redefining Scaling Laws of Physical Layer Security

open access: yesCoRR
Artificial noise (AN) is a key physical-layer security scheme for wireless communications over multiple-input multiple-output wiretap channels. Recently, artificial noise elimination (ANE) has emerged as a strategy to mitigate the impact of AN on eavesdroppers.
Hong Niu 0001   +6 more
openaire   +2 more sources

Introduction to traffic noise abatement

open access: yes, 2014
Presents Evidence-Based Guidance on Noise Abatement Methods Solutions for reducing the noise impact of road and rail traffic can be found in the use of natural elements in combination with artificial elements in urban and rural environments.
Kihlman, Tor   +8 more
core   +1 more source

Generative Artificial Intelligence in Clinical Practice: How Should Rheumatologists Evaluate and Monitor Emerging Tools?

open access: yesArthritis Care &Research, EarlyView.
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo   +2 more
wiley   +1 more source

Physical-Layer Security Enhancement for UAV Downlink Communication Using Joint Precoding and Artificial Noise Design in Generalized Spatial Directional Modulation

open access: yesDrones
This paper proposes a novel joint precoding and artificial noise design framework for generalized spatial directional modulation (AN-GSDM) in unmanned aerial vehicle (UAV) communications, aimed at enhancing the physical-layer security of downlink UAV ...
Xianglu Li   +6 more
doaj   +1 more source

On physical‐layer security for primary system in underlay cognitive radio networks

open access: yesIET Networks, 2018
In this study, the authors consider the physical‐layer security for transmission in underlay cognitive radio networks, where consisting of a primary source–destination pair, a secondary transmitter–receiver pair and a common eavesdropper (E). To transmit
Ping Xie   +5 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Enhancing classification performance over noise and imbalanced data problems [PDF]

open access: yes, 2012
This research presents the development of techniques to handle two issues in data classification: noise and imbalanced data problems. Noise is a significant problem that can degrade the quality of training data in any learning algorithm.
Jeatrakul, Piyasak
core  

Impact of Hydrogen Incorporation on Electronic and Magnetic Structure of X2CrNi18‐9 Stainless Steel

open access: yesAdvanced Engineering Materials, EarlyView.
Hydrogen uptake in austenitic stainless steel alters both its electronic and magnetic structure. Seebeck measurements reveal hydrogen‐induced shifts in the electronic density of states, while neutron scattering uncovers nanoscale inhomogeneities that grow upon hydrogen incorporation, with the most pronounced effect observed in the PBF as‐built state ...
Torben Tappe   +9 more
wiley   +1 more source

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