Fred Beyette

Fred Beyette

University of Georgia

H-index: 21

North America-United States

About Fred Beyette

Fred Beyette, With an exceptional h-index of 21 and a recent h-index of 12 (since 2020), a distinguished researcher at University of Georgia, specializes in the field of Point-of-care medical devices, health monitoring devices and systems, mixed technology embedded systems, wearable electronics, a.

His recent articles reflect a diverse array of research interests and contributions to the field:

Enhancing P300 Feature Extraction through Multi-Scale Separable Convolution

Fatigue Analysis in Assembly Line Workers Using Brain Computer Interface

Real-Time Non-Gaussianity Evaluation for Anomaly Detection in Noisy Power Grid Data Stream

Intricate Anomaly Detection in Time Series by Caculating Shift of Non-Gaussianity

Rapid transition of traditionally hands-on labs to online instruction in engineering courses

BnSepCNN: Convolutional Neural Network for P300 Detection

Training Accuracy Improvement for ERP Datasets by Employing Restart Learning Strategy

BCNN: A Bantamweight Convolutional Neural Network for P300 Detection

Fred Beyette Information

University

Position

___

Citations(all)

2426

Citations(since 2020)

879

Cited By

1898

hIndex(all)

21

hIndex(since 2020)

12

i10Index(all)

50

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Fred Beyette Skills & Research Interests

Point-of-care medical devices

health monitoring devices and systems

mixed technology embedded systems

wearable electronics

a

Top articles of Fred Beyette

Title

Journal

Author(s)

Publication Date

Enhancing P300 Feature Extraction through Multi-Scale Separable Convolution

Maohua Liu

Faraz Ahmad

Jianwei Hao

Muhammad Mehmood

Ishfaque Ahmed

...

2024/3/15

Fatigue Analysis in Assembly Line Workers Using Brain Computer Interface

Faraz Ahmad

Maohua Liu

Fred R Beyette

2024/3/15

Real-Time Non-Gaussianity Evaluation for Anomaly Detection in Noisy Power Grid Data Stream

Maohua Liu

Faraz Ahmad

Irshad Ahmad

Fred R Beyette

2024/3/6

Intricate Anomaly Detection in Time Series by Caculating Shift of Non-Gaussianity

Maohua Liu

De Yang

Faraz Ahmad

Fred R Beyette

2024/3/15

Rapid transition of traditionally hands-on labs to online instruction in engineering courses

European journal of engineering education

Dominik May

Beshoy Morkos

Andrew Jackson

Nathaniel J Hunsu

Amy Ingalls

...

2023/9/3

BnSepCNN: Convolutional Neural Network for P300 Detection

Maohua Liu

Fred R Beyette

2023/8/4

Training Accuracy Improvement for ERP Datasets by Employing Restart Learning Strategy

Maohua Liu

Fred R Beyette

2023/4/21

BCNN: A Bantamweight Convolutional Neural Network for P300 Detection

M Liu

S Wang

FR Beyette

2023/12/2

Machine learning algorithms for detection of noisy/artifact-corrupted epochs of visual oddball paradigm ERP data

Rafia Akhter

Fred R Beyette

2022/3/1

UX design research for improving student experience in online laboratories

Amy Ragland

Dominik May

Beshoy Morkos

Andrew Jackson

Nathaniel Hunsu

...

2022/8/23

Establishing qualitative inquiry to understand student experiences in online experimentation (Work in progress)

Andrew Jackson

Beshoy Morkos

Fred Beyette

Amy Ragland

Dominik May

2022/8/23

Automated Detection of ERP artifacts of auditory oddball paradigm by Unsupervised Machine Learning Algorithm

Rafia Akhter

Faraz Ahmad

Fred R Beyette

2022/8/15

Faculty perspectives on transitioning to exclusively online lab classes in electrical and computer engineering

Dominik May

Beshoy Morkos

Fred R Beyette

Nathaniel Hunsu

Andrew Jackson

...

2022/10/8

Analyte sensor and method of use

2021/8/31

Switching from hands-on labs to exclusively online experimentation in electrical and computer engineering courses

Dominik May

Beshoy Morkos

Andrew Jackson

Fred Richard Beyette

Nathaniel Hunsu

...

2021/7/26

Impact of Goal-Setting during Student Advisement Sessions on Academic Performance, Study Skills, and Happiness in Major

Carlie Cooper

Fred Beyette

David Stooksbury

2020

See List of Professors in Fred Beyette University(University of Georgia)