Md. Abdulla Al Mamun

Orcid: 0000-0003-0310-4078

According to our database1, Md. Abdulla Al Mamun authored at least 12 papers between 2013 and 2023.

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

2023
An Educational Data Mining System for Predicting Students' Programming Performance.
J. Inf. Hiding Multim. Signal Process., September, 2023

An Autonomous IoT-Based Contact Tracing Platform in a COVID-19 Patient Ward.
IEEE Internet Things J., May, 2023

2022
Cooperative Indoor Localisation for Wearable IoT Applications.
PhD thesis, 2022

2021
Landmark-Assisted Compensation of User's Body Shadowing on RSSI for Improved Indoor Localisation with Chest-Mounted Wearable Device.
Sensors, 2021

A Novel Approach to Manage Ownership and VAT Using Blockchain-Based Digital Identity.
Proceedings of the Ubiquitous Networking - 7th International Symposium, 2021

Map-Aided Fusion of IMU PDR and RSSI Fingerprinting for Improved Indoor Positioning.
Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021

2020
Protecting Health Care Workers from Infectious Diseases using Physical Proximity Networks (PPN).
Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020

2019
Effects of Various Factors on RSSI from Positioning Point of View with Wearables.
Proceedings of the 13th International Conference on Sensing Technology, 2019

Radio Map Building with IEEE 802.15.4 for Indoor Localization Applications.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

2016
Theoretical model and implementation of a real time intelligent bin status monitoring system using rule based decision algorithms.
Expert Syst. Appl., 2016

2014
Real time solid waste bin monitoring system framework using wireless sensor network.
Proceedings of the International Conference on Electronics, Information and Communications, 2014

2013
Wireless Sensor Network Prototype for Solid Waste Bin Monitoring with Energy Efficient Sensing Algorithm.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013


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