Shaad Mahmud

Orcid: 0000-0003-0454-565X

According to our database1, Shaad Mahmud authored at least 25 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Physics-Enhanced TinyML for Real- Time Detection of Ground Magnetic Anomalies.
IEEE Access, 2024

2022
A Novel In-situ Method for Measuring Soil Organic Carbon Using Photoacoustic Sensor.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

Real-Time Machine Learning Enabled Low-Cost Magnetometer System.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

2021
Conditional-GAN Based Data Augmentation for Deep Learning Task Classifier Improvement Using fNIRS Data.
Frontiers Big Data, 2021

A Ternary Bi-Directional LSTM Classification for Brain Activation Pattern Recognition Using fNIRS.
CoRR, 2021

LoRa-STAR: Optimizing Energy Consumption in LoRa Nodes for Precision Farming.
Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

LSTM based GAN Networks for Enhancing Ternary Task Classification Using fNIRS Data.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Real-time Wireless Health Monitoring: An Ultra-low Power Biosensor Ring for Heart Disease Monitoring.
Proceedings of the International Conference on Computing, Networking and Communications, 2020

Use of Brain Electrical Activity to Classify People with Concussion: A Deep Learning Approach.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

TinyDL: Edge Computing and Deep Learning Based Real-time Hand Gesture Recognition Using Wearable Sensor.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

Automatic Detection of Respiratory Effort Related Arousals With Deep Neural Networks From Polysomnographic Recordings.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Bi-Directional Gated Recurrent Unit Based Ensemble Model for the Early Detection of Sepsis.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Robust Classification of Cardiac Arrhythmia Using a Deep Neural Network.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
An Integrated Wearable Sensor for Unobtrusive Continuous Measurement of Autonomic Nervous System.
IEEE Internet Things J., 2019

Accelerated Prediction of Bradycardia in Preterm Infants Using Time-Frequency Analysis.
Proceedings of the International Conference on Computing, Networking and Communications, 2019

2018
Automatic Detection of Opioid Intake Using Wearable Biosensor.
Proceedings of the 2018 International Conference on Computing, 2018

SensoRing: An Integrated Wearable System for Continuous Measurement of Physiological Biomarkers.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017
A Wireless Health Monitoring System Using Mobile Phone Accessories.
IEEE Internet Things J., 2017

2016
Wireless Health
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-47946-0, 2016

Real time non-contact remote cardiac monitoring.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

A Real Time and Non-Contact Multiparameter Wearable Device for Health Monitoring.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
An inexpensive and ultra-low power sensor node for wireless health monitoring system.
Proceedings of the 17th International Conference on E-health Networking, 2015

Development of an inkjet printed green antenna and twisting effect for wireless body area network.
Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015


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