Jingxuan Huang - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Institutional Sign In

Institutional Sign In

ADVANCED SEARCH

Author details

Jingxuan Huang

Publications

42

Citations

419

Publications by Year

20162025

Co-Authors:

Congzhe CaoHui CaoWanghua CaoZiyun ChaoJianqiang Chen

Show All Co-Authors (57)

Jingxuan Huang

Affiliation

School of Information and Electronics

Beijing Institute of Technology

Beijing, China

Publication Topics

Echo Signal,
Communication Systems,
Additive Noise,
Artificial Noise,
Base Station,
Channel Estimation,
Communication Performance,
Neural Network,
Orthogonal Frequency Division Multiplexing,
Radar Cross Section,
Reconfigurable Intelligent Surface,
Simulation Results

Biography

Jingxuan Huang received the B.S. and Ph.D. degrees in electronics engineering from the Beijing Institute of Technology (BIT), Beijing, China, in 2016 and 2021, respectively. He is currently a Post-Doctoral Fellow with the School of Information and Electronics, BIT. His research interests include channel coding and modulation, vehicular communications, and integrated sensing and communications.(Based on document published on 1 November 2023).

Publications

42

Citations

419

Publications by Year

20162025

Co-Authors:

Congzhe Cao
Hui Cao
Wanghua Cao
Ziyun Chao
Jianqiang Chen

Show All Co-Authors (57)

Author's Published Works

Search History

Showing 1-25 of 7,560 resultsfor "Index Terms":Rs Values

Conferences (5,592)

Journals (1,830)

Standards (85)

Magazines (42)

Early Access Articles (11)

Sort

Filter Results

Show

Open Access Only

Range
Single Year
Wei Chen(10)
Yang Liu(10)
Wei Li(10)
Adriano Camps(10)
Pablo Laguna(10)
Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia(15)
University of Chinese Academy of Sciences, Beijing, China(15)
School of Computing, Telkom University, Bandung, Indonesia(13)
School of Geodesy and Geomatics, Wuhan University, Wuhan, China(8)
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA(8)
IEEE Access(230)
IEEE Transactions on Biomedical Engineering(114)
IEEE Transactions on Geoscience and Remote Sensing(103)
Monthly Notices of the Royal Astronomical Society(92)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(68)
IEEE(7,226)
OUP(177)
IET(52)
VDE(22)
MIT Press(18)
Media(70)
Datasets(8)
Video(1)
Shanghai, China(95)
Beijing, China(91)
Chongqing, China(76)
Coimbatore, India(66)
Chengdu, China(62)
R-squared Values(1,601)
QRS Complex(1,137)
Value R(1,042)
Faster R-CNN(805)
Convolutional Neural Network(766)
Inactive(59)
Superseded(17)
Active(9)
Standard Docs(85)

Select All on Page

Sort By

Results

RJoules: An Energy Measurement Tool for R

Rajrupa Chattaraj;Sridhar Chimalakonda

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Year: 2023 | Conference Paper |

HTML

With the exponential growth of data, the demand for effective data analysis tools has increased significantly. R language, known for its statistical modeling and data analysis capabilities, has become one of the most popular programming languages among data scientists and researchers. As the importance of energy-aware software systems continues to rise, several studies investigate the impact of so...Show More

RJoules: An Energy Measurement Tool for R

Rajrupa Chattaraj;Sridhar Chimalakonda

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Year: 2023 | Conference Paper |

Outlier detection in distribution companies business using real data set

Merisa Golić;Emir Žunić;Dženana Đonko

IEEE EUROCON 2019 -18th International Conference on Smart Technologies

Year: 2019 | Conference Paper |

Cited by: Papers (1)

HTML

Outlier detection represents the problem of finding patterns in data that does not fit in expected behaviour. In this paper, outlier detection is done over real transactional data set of the distribution company. Outlier detection is done over time-series data, and over an ordered number of products that can be found within transactions. Unsupervised techniques and methods, S-H-ESD and LOF, are ap...Show More

Outlier detection in distribution companies business using real data set

Merisa Golić;Emir Žunić;Dženana Đonko

IEEE EUROCON 2019 -18th International Conference on Smart Technologies

Year: 2019 | Conference Paper |

Integrated energy flow analysis in natural gas and electricity coupled systems

Alberto Martínez-Mares;Claudio R. Fuerte-Esquivel;Instituto de Ingeniería

2011 North American Power Symposium

Year: 2011 | Conference Paper |

Cited by: Papers (36)

HTML

The restructuring of energy markets has increased the concern about the existing interdependency between the primary energy supply and electricity networks, which are analyzed traditionally as independent systems. The aim of this paper is focused on an integral formulation for the steady-state analysis of electricity and natural gas coupled systems considering the effect of temperature in the natu...Show More

Integrated energy flow analysis in natural gas and electricity coupled systems

Alberto Martínez-Mares;Claudio R. Fuerte-Esquivel;Instituto de Ingeniería

2011 North American Power Symposium

Year: 2011 | Conference Paper |

Classification and Success Investigation of Biomedical Data Sets Using Supervised Machine Learning Models

Sarmad N. Mohammed;Mehmet Serdar Guzel;Erkan Bostanci

2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

Year: 2019 | Conference Paper |

Cited by: Papers (1)

HTML

Nowadays, information technologies are used in almost every field of Computer Science and Engineering. One of the most used areas is the health sector. With the use of digital hospital systems, patient data is now stored in a computerized environment, thereby creating biomedical data sets. These datasets, which are very large in size, are very difficult to analyze and interpret by a human. The mac...Show More

Classification and Success Investigation of Biomedical Data Sets Using Supervised Machine Learning Models

Sarmad N. Mohammed;Mehmet Serdar Guzel;Erkan Bostanci

2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

Year: 2019 | Conference Paper |

Using a selected machine learning method in the R language in statistics learning

I. Dirgova Luptakova

2023 21st International Conference on Emerging eLearning Technologies and Applications (ICETA)

Year: 2023 | Conference Paper |

HTML

The Bootstrap method, alternatively referred to as bootstrapping, is a statistical approach employed to assess the reliability of statistical estimations and models. Importantly, it accomplishes this without assuming that the data originates from a specific probability distribution. This study aimed to elucidate fundamental statistical concepts, with a particular emphasis on the realm of estimatin...Show More

Using a selected machine learning method in the R language in statistics learning

I. Dirgova Luptakova

2023 21st International Conference on Emerging eLearning Technologies and Applications (ICETA)

Year: 2023 | Conference Paper |

Usage of R Language for Universal Calculations and Simulations

N.O. Strelkov;V. V. Krutskikh

2021 3rd International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

Year: 2021 | Conference Paper |

HTML

in this article we discuss the usage of modern R programming language for educational and scientific calculations. This language is very popular in data science, mathematical statistics and other calculations. Here we start with static RMarkdown documents including Markdown markup and code written on R language in the same file. Then we consider dynamic applications named Shiny which contain R-cod...Show More

Usage of R Language for Universal Calculations and Simulations

N.O. Strelkov;V. V. Krutskikh

2021 3rd International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

Year: 2021 | Conference Paper |

Identification of association rules in orders of distribution companies’ clients

Armin Nogo;Emir zunic;Dzenana Donko

IEEE EUROCON 2019 -18th International Conference on Smart Technologies

Year: 2019 | Conference Paper |

Cited by: Papers (2)

HTML

The identification of association rules is the problem of finding associations between different items in the same transactions. In this paper, performance comparison of different variants of Apriori, FP-Growth and ECLAT algorithms was performed over the real transactional data set of the distribution company by using R programming language and its appropriate packages, and the results obtained ar...Show More

Identification of association rules in orders of distribution companies’ clients

Armin Nogo;Emir zunic;Dzenana Donko

IEEE EUROCON 2019 -18th International Conference on Smart Technologies

Year: 2019 | Conference Paper |

Application of Preprocessing Techniques on the Dataset obtained from Education Sector to Predict Students’ Performance

Sunita M. Dol;P. M. Jawandhiya

2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon)

Year: 2024 | Conference Paper |

HTML

Preprocessing technique in Data Mining process is used to transform the raw data into the valid data to increase the consistency of information which improves the model’s prediction accuracy. In this research article, five preprocessing techniques such as 1. Finding attributes of dataset with high percentage of missing values, 2. Finding attributes of dataset with a single unique value, 3. Finding...Show More

Application of Preprocessing Techniques on the Dataset obtained from Education Sector to Predict Students’ Performance

Sunita M. Dol;P. M. Jawandhiya

2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon)

Year: 2024 | Conference Paper |

Optimization of economic load dispatch for a microgrid using evolutionary computation

Jianxin Xu;Sicong Tan;Sanjib Kumar Panda

IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society

Year: 2011 | Conference Paper |

Cited by: Papers (26)

HTML

Economic load dispatch of a microgrid system is a highly nonlinear and multi-objective problem. The two objectives are minimizing the emission of the thermal generators and minimizing the total operating cost. This microgrid system consists of thermal generators, wind turbines and polymer electrolyte membrane (PEM) fuel cells. Two state-of-the-art multi-objective methods, strength pareto evolution...Show More

Optimization of economic load dispatch for a microgrid using evolutionary computation

Jianxin Xu;Sicong Tan;Sanjib Kumar Panda

IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society

Year: 2011 | Conference Paper |

Digital Arithmetic in Nature: Continuous-Digit RNS

The Computer Journal

Year: 2015 | Volume: 58, Issue: 5 | Journal Article |

Cited by: Papers (8)

It has been reported in the literature on computational neuroscience that a rat's uncanny ability to dash back to a home position in the absence of any visual clues (or in total darkness, for that matter) may stem from its distinctive method of position representation. More specifically, it is hypothesized that the rat uses a multimodular method akin to residue number system (RNS), but with contin...Show More

Digital Arithmetic in Nature: Continuous-Digit RNS

The Computer Journal

Year: 2015 | Volume: 58, Issue: 5 | Journal Article |

Autoregressive Integrated Moving Average Model based Prediction of Bitcoin Close Price

Anupriya;Shruti Garg

2018 International Conference on Smart Systems and Inventive Technology (ICSSIT)

Year: 2018 | Conference Paper |

Cited by: Papers (10)

HTML

Analysis of any digital currency is performed for identifying and quantifying uncertainties, estimating their impact on results with real-time market value. Cryptocurrency, as an encrypted form of currencies which is used for shopping, investment, money transfer and in other purpose now days. Most popular use of Bitcoins are investment because its price was unexpectedly high in past few years (dat...Show More

Autoregressive Integrated Moving Average Model based Prediction of Bitcoin Close Price

Anupriya;Shruti Garg

2018 International Conference on Smart Systems and Inventive Technology (ICSSIT)

Year: 2018 | Conference Paper |

ECG signal compression using data extraction and truncated singular value decomposition

Syed Salman Kabir;Mamshad Nayeem Rizve;Md. Kamrul Hasan

2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)

Year: 2017 | Conference Paper |

Cited by: Papers (4)

HTML

In this paper a novel algorithm is used for compressing ECG data. The algorithm uses two techniques simultaneously to get a better compression of ECG data. Firstly Data extraction: a sampling technique based on a user defined threshold value is applied on ECG followed by Truncated Singular Value Decomposition. Changing the number of Singular Values higher compression can be achieved. The proposed ...Show More

ECG signal compression using data extraction and truncated singular value decomposition

Syed Salman Kabir;Mamshad Nayeem Rizve;Md. Kamrul Hasan

2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)

Year: 2017 | Conference Paper |

Non Convex Clustering on Datasets with missing values and noise using EMBDBSCAN & EMBOPTICS

Mahesh Pawar;Anjana Pandey;Sushant Bhargav

2018 International Conference on Computing, Power and Communication Technologies (GUCON)

Year: 2018 | Conference Paper |

HTML

Non Convex Clustering over dataset with missing data is performed by integration of Non Convex clustering algorithms and choosing the best multiple missing value imputation with bootstrapping by Hopkins statistics. Dataset is imputed by Expectation Maximization with bootstrapping (EMB) multiple times. EMB helps in determining missing values, multiple imputation on same dataset yields multiple opti...Show More

Non Convex Clustering on Datasets with missing values and noise using EMBDBSCAN & EMBOPTICS

Mahesh Pawar;Anjana Pandey;Sushant Bhargav

2018 International Conference on Computing, Power and Communication Technologies (GUCON)

Year: 2018 | Conference Paper |

Food Image Recognition and Calorie Prediction Using Faster R-CNN and Mask R-CNN

Elena Denny Cherpanath;P R Fathima Nasreen;Karthika Pradeep;Malavika Menon;V S Jayanthi

2023 9th International Conference on Smart Computing and Communications (ICSCC)

Year: 2023 | Conference Paper |

Cited by: Papers (13)

HTML

Due to the increasing number of health issues related to obesity and overeating, people are more aware of their dietary habits to prevent conditions such as hypertension, diabetes, and heart disease that are linked to obesity. According to the World Health Organization (WHO), at least 2.8 million people die every year due to being overweight or obese. A healthy diet plan typically involves control...Show More

Food Image Recognition and Calorie Prediction Using Faster R-CNN and Mask R-CNN

Elena Denny Cherpanath;P R Fathima Nasreen;Karthika Pradeep;Malavika Menon;V S Jayanthi

2023 9th International Conference on Smart Computing and Communications (ICSCC)

Year: 2023 | Conference Paper |

Developing a Multiple Testing Procedure in the D-Posterior Approach using the R Software Environment

Sergei Simushkin;Elena Fedotova

2020 IEEE East-West Design & Test Symposium (EWDTS)

Year: 2020 | Conference Paper |

HTML

The article provides a method for developing a statistical criterion that satisfies given restrictions on the average proportion of wrong decisions, similar to the concept of pFDR in multiple testing. The statistical criterion uses programming capabilities in the R environment. The advantages of this method are shown in comparison with the Benjamini-Hochberg procedure.Show More

Developing a Multiple Testing Procedure in the D-Posterior Approach using the R Software Environment

Sergei Simushkin;Elena Fedotova

2020 IEEE East-West Design & Test Symposium (EWDTS)

Year: 2020 | Conference Paper |

Monthly electricity consumption forecast of the park based on hybrid forecasting method

Bin Peng;Li Liu;Yanbo Wang

2021 China International Conference on Electricity Distribution (CICED)

Year: 2021 | Conference Paper |

Cited by: Papers (8)

HTML

Along with the forecast of electricity consumption can provide the basis for the power supply enterprise to control the electricity sale market, at the same time, it can make scientific planning and guidance to the generating capacity of the electric power company, in the future development and planning of distribution network, under the the new electric power reform,the park has become an importa...Show More

Monthly electricity consumption forecast of the park based on hybrid forecasting method

Bin Peng;Li Liu;Yanbo Wang

2021 China International Conference on Electricity Distribution (CICED)

Year: 2021 | Conference Paper |

Parallel Implementation of Motif-Based Clustering for HT-SELEX Dataset

Takayoshi Ono;Shintaro Kato;Koichi Ito;Hirotaka Minagawa;Katsunori Horii;Ikuo Shiratori;Iwao Waga;Takafumi Aoki

2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE)

Year: 2019 | Conference Paper |

HTML

A clustering method for high-throughput sequencing with SELEX pools (HT-SELEX) is crucial for selecting different types of aptamer candidates. The fast and accurate clustering method is indispensable for an enormous sequence data produced by HT-SELSEX. We have already developed a fast motif-based clustering (FMBC) method for HT-SELEX data implemented by R language. FMBC exhibited high accuracy of ...Show More

Parallel Implementation of Motif-Based Clustering for HT-SELEX Dataset

Takayoshi Ono;Shintaro Kato;Koichi Ito;Hirotaka Minagawa;Katsunori Horii;Ikuo Shiratori;Iwao Waga;Takafumi Aoki

2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE)

Year: 2019 | Conference Paper |

An approach to value creation in open data for small and medium-sized enterprises using “R” ecosystem

João Pedro Albino

2017 Computing Conference

Year: 2017 | Conference Paper |

Cited by: Papers (4)

HTML

With the technologies proliferation for Internet, such as cloud computing, mobile devices, social media and the internet of things, small and medium enterprises, despite their smaller size, less revenue and small number of employees cannot operate with less information. There are many opportunities for these organizations however, additional tools are needed to generate potential value from these ...Show More

An approach to value creation in open data for small and medium-sized enterprises using “R” ecosystem

João Pedro Albino

2017 Computing Conference

Year: 2017 | Conference Paper |

Data Analytics on Price Prediction of Travelling Package using Regression Models

Ezzatul Akmal Kamaru Zaman;Nur Athirah Azirah Binti Rahmat;Azlin Ahmad;Nur Huda Nabihan Md Shahri;Mohd Najib Ismail

2019 1st International Conference on Artificial Intelligence and Data Sciences (AiDAS)

Year: 2019 | Conference Paper |

Cited by: Papers (2)

HTML

Travel agencies set new prices on travel packages based on their experiences by analyzing the trend on holiday and festive season. However, they find it hard to set and predict exact travel packages with minimum prices to be offered for the upcoming years. Prices keep changing due to other reasons rather than the holiday and festive season. This research paper applied data analytics which is divid...Show More

Data Analytics on Price Prediction of Travelling Package using Regression Models

Ezzatul Akmal Kamaru Zaman;Nur Athirah Azirah Binti Rahmat;Azlin Ahmad;Nur Huda Nabihan Md Shahri;Mohd Najib Ismail

2019 1st International Conference on Artificial Intelligence and Data Sciences (AiDAS)

Year: 2019 | Conference Paper |

Distributed computation of the average of multiple time-varying reference signals

Fei Chen;Yongcan Cao;Wei Ren

Proceedings of the 2011 American Control Conference

Year: 2011 | Conference Paper |

Cited by: Papers (9)

HTML

We present a distributed discontinuous control algorithm for a team of agents to track the average of multiple time-varying reference signals with bounded derivatives. We use tools from nonsmooth analysis to analyze the stability of the system. For time-invariant undirected connected network topologies, we prove that the states of all agents will converge to the average of the time-varying referen...Show More

Distributed computation of the average of multiple time-varying reference signals

Fei Chen;Yongcan Cao;Wei Ren

Proceedings of the 2011 American Control Conference

Year: 2011 | Conference Paper |

Synthesis of 12-lead ECG from a reduced lead set using singular value decomposition

Sibasankar Padhy;S. Dandapat

2015 IEEE Power, Communication and Information Technology Conference (PCITC)

Year: 2015 | Conference Paper |

Cited by: Papers (2)

HTML

This paper presents synthesis of 12-lead Electrocardiogram (ECG) from a reduced set of leads. A patient-specific 12-lead ECG is trained using the Singular Value Decomposition (SVD) for minimum of three beat periods. Then, in the testing stage, different reduced lead sets comprising of three leads are used to reconstruct all other leads. The singular value matrix of the reduced 3-lead data is trans...Show More

Synthesis of 12-lead ECG from a reduced lead set using singular value decomposition

Sibasankar Padhy;S. Dandapat

2015 IEEE Power, Communication and Information Technology Conference (PCITC)

Year: 2015 | Conference Paper |

A Zero Padding SVD Encoder to Compress Electrocardiogram

Cristiano M. Agulhari;Ivanil S. Bonatti;Pedro L. D. Peres

2009 Data Compression Conference

Year: 2009 | Conference Paper |

HTML

A new method to compress electrocardiogram (ECG) signals, whose novelty is related to the choice of an appropriate basis of representation for each ECG, is proposed in this paper. The ZPSVD method is compared to the method presented, which is an ECG compression method based on the application of the SVD and presents good results. The experiments have shown that the ZPSVD method yields better compr...Show More

A Zero Padding SVD Encoder to Compress Electrocardiogram

Cristiano M. Agulhari;Ivanil S. Bonatti;Pedro L. D. Peres

2009 Data Compression Conference

Year: 2009 | Conference Paper |

Fast approach for automatic data retrieval using R programming language

Tran Duc Chung;Rosdiazli Ibrahim;Sabo Miya Hassan;Nurfatihah Syalwiah Rosli

2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)

Year: 2016 | Conference Paper |

Cited by: Papers (3)

HTML

The development of big data analytics in recent years has enabled wide use of analysis tools such as R in various industries including robotics and automation. Its most recent reported application for data analysis is limited to only a small dataset and the processing time was not reported. Thus, this work proposes a fast approach for automatic data retrieval using R, a powerful programming langua...Show More

Fast approach for automatic data retrieval using R programming language

Tran Duc Chung;Rosdiazli Ibrahim;Sabo Miya Hassan;Nurfatihah Syalwiah Rosli

2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)

Year: 2016 | Conference Paper |

Accounting Disclosure : Impact on Equity Share Investment – An Evidence Based Analysis

Ganga Bhavani;Swapna Nair;Suchi Dubey;Doreen Chiwundra

2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence)

Year: 2021 | Conference Paper |

HTML

This research study finds the relationship between accounting information and equity share investment in listed companies on the Johannesburg Stock Exchange. The main goal of this study is to establish the effect of financial accounting information on the equity share investment of companies listed on the Johannesburg Stock Exchange. Precisely, the study finds the effect of earnings per share, boo...Show More

Accounting Disclosure : Impact on Equity Share Investment – An Evidence Based Analysis

Ganga Bhavani;Swapna Nair;Suchi Dubey;Doreen Chiwundra

2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence)

Year: 2021 | Conference Paper |

Improving the transient frequency response of unintentional islands via local optimal controllers

;;

8th International Conference on Advances in Power System Control, Operation and Management (APSCOM 2009)

Year: 2009 | Conference Paper |

This paper uses modern control as a tool to ensure the sustainability of the formed islands after uncontrollable system separation. It focuses on islands with excess generation. This paper uses the optimal control, specifically the linear quadratic regulator methodology, to design a new local power plant controller capable of improving the transient frequency response of thermal power plants. The ...Show More

Improving the transient frequency response of unintentional islands via local optimal controllers

;;

8th International Conference on Advances in Power System Control, Operation and Management (APSCOM 2009)

Year: 2009 | Conference Paper |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.