Jove
Visualize
Contact Us

Related Concept Videos

Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

69
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
69
Response Surface Methodology01:16

Response Surface Methodology

75
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
75
Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

303
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
303
Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

2.5K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n)  to the number of categories (k).
2.5K
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

62
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
62

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pathology-informed Generative Adversarial Network Augmentation Improves Classification of Peripheral Nerve Sheath Tumors by Modeling Morphological Variability: A Pilot Investigation.

Head and neck pathology·2026
Same author

Data Compression in LoRa Networks: Performance and Energy Trade-Offs of Classical and Cutting-Edge Compression Algorithms.

Sensors (Basel, Switzerland)·2026
Same author

Systematic Review of Noise Pollution in Morocco: Regulatory Frameworks, Urban Impacts, and Policy Recommendations.

International journal of environmental research and public health·2026
Same author

GECO: A Real-Time Computer Vision-Assisted Gesture Controller for Advanced IoT Home System.

Sensors (Basel, Switzerland)·2026
Same author

Analysis of Variance Combined with Optimized Gradient Boosting Machines for Enhanced Load Recognition in Home Energy Management Systems.

Sensors (Basel, Switzerland)·2024
Same author

Secrecy Analysis of a Mu-MIMO LIS-Aided Communication Systems under Nakagami-<i>m</i> Fading Channels.

Sensors (Basel, Switzerland)·2024
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 17, 2025

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

9.8K

Performance Analysis of a Multi-User MIMO Reflecting Intelligent Surface-Aided Communication System Under Weibull

Ricardo C Ferreira1, Gustavo Fraidenraich1, Felipe A P de Figueiredo1,2

  • 1Department of Communications, Faculty of Electrical and Computer Engineering, State University of Campinas (UNICAMP), Campinas 13010-000, Brazil.

Sensors (Basel, Switzerland)
|May 14, 2025
PubMed
Summary
This summary is machine-generated.

Reflecting intelligent surfaces (RIS) enhance multi-user communication systems by improving signal quality and reducing errors, even without direct user-transmitter links. This boosts performance in Weibull fading channels.

Keywords:
Mu-MIMO systemsNakagami-m fadinglarge intelligent surfacesmobile communicationsreflecting surfaces

More Related Videos

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
09:36

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

2.9K
Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.0K

Related Experiment Videos

Last Updated: May 17, 2025

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

9.8K
Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
09:36

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

2.9K
Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.0K

Area of Science:

  • Wireless Communication Systems
  • Information Theory
  • Signal Processing

Background:

  • Digital communication systems face performance degradation due to channel fading and interference.
  • Reflecting intelligent surfaces (RIS) offer a promising solution for enhancing wireless environments by intelligently controlling signal propagation.
  • Optimizing RIS deployment is crucial for improving signal-to-noise plus interference ratio (SINR) and security in multi-user systems.

Purpose of the Study:

  • To analyze the performance of a multi-user digital communication system employing RIS.
  • To evaluate the impact of RIS on bit error probability and secrecy outage probability under Weibull fading channels.
  • To investigate the statistical properties of SINR and phase correction error in RIS-assisted systems.

Main Methods:

  • Mathematical analysis of system performance using M-QAM modulation over Weibull fading channels.
  • Statistical characterization of phase correction error using the von Mises distribution.
  • Analytical derivation of the gamma distribution for SINR, with parameters determined.
  • Performance evaluation based on bit error probability and secrecy outage probability.

Main Results:

  • RIS significantly improves the signal-to-noise plus interference ratio (SINR) for each user.
  • The SINR in RIS-assisted systems follows a gamma distribution, with parameters derived analytically.
  • Phase correction error statistics, modeled by the von Mises distribution, influence system performance.
  • Increased number of RIS reflectors enhances line-of-sight strength and reduces error and secrecy outage probabilities.

Conclusions:

  • RIS effectively boosts the performance of multi-user digital communication systems, particularly in challenging fading conditions.
  • RIS can mitigate performance limitations even in the absence of direct user-transmitter links.
  • The study provides a robust analytical framework for understanding RIS performance in terms of error and security probabilities.