Electrical and Computer Engineering

Research output

Scholarly Research per year 1969 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024

• 3886 Article
• 1789 Paper
• 1295 Conference contribution
• 367 Conference article
• 477 More
  • 195 Other contribution
  • 127 Chapter
  • 57 Review article
  • 35 Editorial
  • 24 Comment/debate
  • 22 Book
  • 6 Other
  • 4 Letter
  • 4 Software
  • 2 Exhibition
  • 1 Foreword/postscript

Scholarly Research per year

Scholarly Research per year

Search results

• 2020

  Structural Health Monitoring of a Traffic Signal Support Structure Based on 5.8-GHz Doppler Radar with Median Filter and Revised Circle Fitting

  Rodrigues, D. V. D. Q., Tang, Z., Wang, J., Zuo, D. & Li, C., Jan 2020.

  Research output: Contribution to conference › Paper › peer-review

  • Doppler radar 100%
  • Median filters 92%
  • Traffic signals 91%
  • Structural health monitoring 80%

• Structural Health Monitoring of a Traffic Signal Support Structure Based on 5.8-GHz Doppler Radar with Median Filter and Revised Circle Fitting

  Rodrigues, D. V. D. Q., Tang, Z., Wang, J., Zuo, D. & Li, C., Jan 2020.

  Research output: Contribution to conference › Paper › peer-review

• Success in a Competitive-Admissions Major

  Nutter, C. & Nutter, B., Nov 2020.

  Research output: Contribution to conference › Paper › peer-review

• Success in a Competitive-Admissions Major

  Nutter, C. & Nutter, B., Nov 2020.

  Research output: Contribution to conference › Paper › peer-review

• TIME-FREQUENCY ANALYSIS OF UNIMODAL SENSORY PROCESSING IN AUTISM SPECTRUM DISORDER

  D'Croz-Baron, D., Baker, M. & Karp, T., May 2020.

  Research output: Contribution to conference › Paper › peer-review

  • Autism Spectrum Disorder 100%

• TIME-FREQUENCY ANALYSIS OF UNIMODAL SENSORY PROCESSING IN AUTISM SPECTRUM DISORDER

  D'Croz-Baron, D., Baker, M. & Karp, T., May 2020.

  Research output: Contribution to conference › Paper › peer-review

• Time series forecasting of total daily solar energy generation: A comparative analysis between ARIMA and machine learning techniques

  Atique, S., Noureen, S., Roy, V., Bayne, S. & Macfie, J., Apr 2020.

  Research output: Contribution to conference › Paper › peer-review

  • Solar energy 100%
  • Machine learning 80%

• Time series forecasting of total daily solar energy generation: A comparative analysis between ARIMA and machine learning techniques

  Atique, S., Noureen, S., Roy, V., Bayne, S. & Macfie, J., Apr 2020.

  Research output: Contribution to conference › Paper › peer-review

• Trade-off on detection range and channel usage for moving target tracking using FSK radar

  Wang, J., Nolte, D., Karp, T., Muñoz-Ferreras, J-M., Gómez-García, R. & Li, C., Jan 2020.

  Research output: Contribution to conference › Paper › peer-review

• Trade-off on detection range and channel usage for moving target tracking using FSK radar

  Wang, J., Nolte, D., Karp, T., Muñoz-Ferreras, J-M., Gómez-García, R. & Li, C., Jan 2020.

  Research output: Contribution to conference › Paper › peer-review

  • Frequency shift keying 100%
  • Target tracking 75%
  • Radar 63%

• Visualization and Detection of Changes in Brain States Using t-SNE

  Parmar, H., Mitra, S., Nutter, B., Long, R. & Antani, S., Apr 2020.

  Research output: Contribution to conference › Paper › peer-review

  • Brain 100%

• Visualization and Detection of Changes in Brain States Using t-SNE

  Parmar, H., Mitra, S., Nutter, B., Long, R. & Antani, S., Apr 2020.

  Research output: Contribution to conference › Paper › peer-review

• Visualization and Detection of Changes in Brain States Using t-SNE.

  Parmar, H. S., Nutter, B., Long, R., Antani, S. & Mitra, S., 2020.

  Research output: Contribution to conference › Paper › peer-review

  • Magnetic Resonance Imaging 100%
  • Brain 72%
  • Visualization 67%
  • Dimensionality reduction 47%
  • Experiments 15%

• Visualization and Detection of Changes in Brain States Using t-SNE.

  Parmar, H. S., Nutter, B., Long, R., Antani, S. & Mitra, S., 2020.

  Research output: Contribution to conference › Paper › peer-review

• Wireless Orientation in the Presence of Mutual Couplings

  Wang, H., Zhang, B., Li, C. & Ran, L., Jan 2020.

  Research output: Contribution to conference › Paper › peer-review

• Wireless Orientation in the Presence of Mutual Couplings

  Wang, H., Zhang, B., Li, C. & Ran, L., Jan 2020.

  Research output: Contribution to conference › Paper › peer-review

  • Microwaves 100%
  • Neural networks 68%
  • Video cameras 61%
  • Antenna arrays 53%
  • Backpropagation 53%
• 2019

  A Digital I/Q Correction Technique for a 125-GHz Interferometric Radar with Sub-Micrometer Sensitivity

  Rodriguez, D. & Li, C., 2019.

  Research output: Contribution to conference › Paper › peer-review

• A Digital I/Q Correction Technique for a 125-GHz Interferometric Radar with Sub-Micrometer Sensitivity

  Rodriguez, D. & Li, C., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Radar 100%

• Analysis and application of seasonal ARIMA model in Energy Demand Forecasting: A case study of small scale agricultural load

  Noureen, S., Atique, S., Roy, V. & Bayne, S., Aug 1 2019.

  Research output: Contribution to conference › Paper › peer-review

• Analysis and application of seasonal ARIMA model in Energy Demand Forecasting: A case study of small scale agricultural load

  Noureen, S., Atique, S., Roy, V. & Bayne, S., Aug 1 2019.

  Research output: Contribution to conference › Paper › peer-review

  • ARIMA Models 100%
  • Demand Forecasting 88%
  • Energy Demand 87%

• Anomaly detection in cyber-physical system using logistic regression analysis

  Noureen, S., Bayne, S., Shaffer, E., Porschet, D. & Berman, M., Mar 6 2019.

  Research output: Contribution to conference › Paper › peer-review

• Anomaly detection in cyber-physical system using logistic regression analysis

  Noureen, S., Bayne, S., Shaffer, E., Porschet, D. & Berman, M., Mar 6 2019.

  Research output: Contribution to conference › Paper › peer-review

  • regression analysis 100%
  • logistics 94%

• A Portable Doppler/FSK/FMCW Multi-mode Radar With Analog DC Offset Cancellation for Biomedical Applications

  Wang, J. & Li, C., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Frequency shift keying 100%
  • Radar 63%

• A Portable Doppler/FSK/FMCW Multi-mode Radar With Analog DC Offset Cancellation for Biomedical Applications

  Wang, J. & Li, C., 2019.

  Research output: Contribution to conference › Paper › peer-review

• A Single Layer Planar K-Band Monopulse Radar Receiver

  Brown, M. & Li, C., 2019.

  Research output: Contribution to conference › Paper › peer-review

• A Single Layer Planar K-Band Monopulse Radar Receiver

  Brown, M. & Li, C., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • radar 100%

• A Spectrum-Efficient FSK Radar Solution for Stationary Human Subject Localization Based on Vital Sign Signals

  Wang, J., Karp, T., Munoz-Ferreras, J-M., Gomez-Garcia, R. & Li, C., 2019.

  Research output: Contribution to conference › Paper › peer-review

• A Spectrum-Efficient FSK Radar Solution for Stationary Human Subject Localization Based on Vital Sign Signals

  Wang, J., Karp, T., Munoz-Ferreras, J-M., Gomez-Garcia, R. & Li, C., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Frequency shift keying 100%
  • Radar 63%

• Automated signal drift and global fluctuation removal from 4D fMRI data based on principal component analysis as a major preprocessing step for fMRI data analysis

  Parmar, H., Nutter, B., Long, R., Antani, S. & Mitra, S., Feb 2019.

  Research output: Contribution to conference › Paper › peer-review

  • principal component analysis 100%
  • data analysis 97%
  • removal 62%

• Automated signal drift and global fluctuation removal from 4D fMRI data based on principal component analysis as a major preprocessing step for fMRI data analysis

  Parmar, H., Nutter, B., Long, R., Antani, S. & Mitra, S., Feb 2019.

  Research output: Contribution to conference › Paper › peer-review

• Automated signal drift and global fluctuation removal from 4D fMRI data based on principal component analysis as a major preprocessing step for fMRI data analysis.

  Parmar, H. S., Nutter, B., Mitra, S., Long, R. & Antani, S., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • principal component analysis 100%
  • data analysis 97%
  • removal 62%
  • artifact 40%
  • detection 13%

• Automated signal drift and global fluctuation removal from 4D fMRI data based on principal component analysis as a major preprocessing step for fMRI data analysis.

  Parmar, H. S., Nutter, B., Mitra, S., Long, R. & Antani, S., 2019.

  Research output: Contribution to conference › Paper › peer-review

• Best Student Poster Paper Award Winner; 2nd Place: "Broadband High-Efficiency Mm-Wave 24-42.5 GHz SiGe PA Design Using Stacked vs. Cascaded Topologies", J. Tsay, J. C. Mayeda, J. Lopez and D.Y.C. Lie, Proc. IEEE Texas Symp. on Wireless and Microwave Circuits and Systems (TSWMCS), Waco, TX, March 28-29, (2019)

  Lie, Y-C., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Microwave circuits 100%
  • Topology 51%

• Best Student Poster Paper Award Winner; 2nd Place: "Broadband High-Efficiency Mm-Wave 24-42.5 GHz SiGe PA Design Using Stacked vs. Cascaded Topologies", J. Tsay, J. C. Mayeda, J. Lopez and D.Y.C. Lie, Proc. IEEE Texas Symp. on Wireless and Microwave Circuits and Systems (TSWMCS), Waco, TX, March 28-29, (2019)

  Lie, Y-C., 2019.

  Research output: Contribution to conference › Paper › peer-review

• Broadband near-zero dispersion with multiple mode couplings

  Fatema, S., Mia, M. B. & Kim, S., 2019.

  Research output: Contribution to conference › Paper › peer-review

• "Classification of Fallers vs. Non-Fallers from Gait Analysis of of Older Adults Using Long Short-Term Memory (LSTM)", Toshiya Matsunashi, Tam Q. Nguyen, and Donald Y.C. Lie, Proc. the 5th Taiwan and Japan Conference on Circuits and Systems (TJCAS2019), Nikko, Japan, August 19-21, 2019

  Lie, Y-C., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Gait analysis 100%
  • Long short-term memory 87%
  • Networks (circuits) 41%

• "Classification of Fallers vs. Non-Fallers from Gait Analysis of of Older Adults Using Long Short-Term Memory (LSTM)", Toshiya Matsunashi, Tam Q. Nguyen, and Donald Y.C. Lie, Proc. the 5th Taiwan and Japan Conference on Circuits and Systems (TJCAS2019), Nikko, Japan, August 19-21, 2019

  Lie, Y-C., 2019.

  Research output: Contribution to conference › Paper › peer-review

• Coherent Deramping-Based Multi-FMCW Radar Architecture

  Munoz-Ferreras, J-M., Peng, Z., Wang, J., Li, C. & Gomez-Garcia, R., Jan 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Radar 100%

• Coherent Deramping-Based Multi-FMCW Radar Architecture

  Munoz-Ferreras, J-M., Peng, Z., Wang, J., Li, C. & Gomez-Garcia, R., Jan 2019.

  Research output: Contribution to conference › Paper › peer-review

• Comparisons of electron transport and rate coefficients in CO2 and Ar/CO2 calculated from cross-section datasets available on LXCat

  Pitchford, LC., Alves, LL., Guerra, V., Biagi, SF., Napartovich, AP., Morgan, WL. & Stephens, J., 2019.

  Research output: Contribution to conference › Paper

  • Electron Transport 100%

• Comparisons of electron transport and rate coefficients in CO2 and Ar/CO2 calculated from cross-section datasets available on LXCat

  Pitchford, LC., Alves, LL., Guerra, V., Biagi, SF., Napartovich, AP., Morgan, WL. & Stephens, J., 2019.

  Research output: Contribution to conference › Paper

• Course development on synchrophasor applications at the undergraduate and graduate levels

  Chamana, M., Bayne, S. & Swift, A., May 1 2019.

  Research output: Contribution to conference › Paper › peer-review

  • graduate 100%

• Course development on synchrophasor applications at the undergraduate and graduate levels

  Chamana, M., Bayne, S. & Swift, A., May 1 2019.

  Research output: Contribution to conference › Paper › peer-review

• Detection of Impending Ramp for Improved Wind Farm Power Forecasting

  Zhao, J., Chen, X. & He, M., Mar 7 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Wind Farm 100%

• Detection of Impending Ramp for Improved Wind Farm Power Forecasting

  Zhao, J., Chen, X. & He, M., Mar 7 2019.

  Research output: Contribution to conference › Paper › peer-review

• Electrical Equivalent Model of Vanadium Redox Flow Battery

  Challapuram, Y. R., Quintero, G. M., Bayne, S., Subburaj, A. S. & Harral, M., Apr 1 2019.

  Research output: Contribution to conference › Paper › peer-review

• Electrical Equivalent Model of Vanadium Redox Flow Battery

  Challapuram, Y. R., Quintero, G. M., Bayne, S., Subburaj, A. S. & Harral, M., Apr 1 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Flow batteries 100%
  • Vanadium 84%

• Event Detection from PMU Generated Big Data using R Programming

  Roy, V., Noureen, S., Bayne, S., Bilbao, A. & Giesselmann, M., Mar 18 2019.

  Research output: Contribution to conference › Paper › peer-review

• Event Detection from PMU Generated Big Data using R Programming

  Roy, V., Noureen, S., Bayne, S., Bilbao, A. & Giesselmann, M., Mar 18 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Event Detection 100%
  • Big Data 56%
  • Programming 55%

• Event Detection From PMU Generated Big Data using R Programming

  Roy, V., Noureen, S. S., Bayne, S., Bilbao, A. & Giesselmann, M., Mar 21 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Phasor measurement units 100%
  • Big data 74%
  • SCADA systems 25%
  • Smart power grids 19%
  • Systems analysis 15%