Latest Publications
Omar, Abdullah Al; Jamil, Abu Kaisar; Khandakar, Amith; Uzzal, Abdur Razzak; Bosri, Rabeya; Mansoor, Nafees; Rahman, Mohammad Shahriar
A Transparent and Privacy-preserving Healthcare Platform with Novel Smart Contract for Smart Cities Journal Article
In: IEEE Access, pp. 1-1, 2021.
@article{9455405,
title = {A Transparent and Privacy-preserving Healthcare Platform with Novel Smart Contract for Smart Cities},
author = {Abdullah Al Omar and Abu Kaisar Jamil and Amith Khandakar and Abdur Razzak Uzzal and Rabeya Bosri and Nafees Mansoor and Mohammad Shahriar Rahman},
doi = {10.1109/ACCESS.2021.3089601},
year = {2021},
date = {2021-01-01},
journal = {IEEE Access},
pages = {1-1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hasanat, RT; Mansoor, N; Mohammed, N; Rahman, MS; Rasheduzzaman, M
Development of a monitoring system and power management for an IoT based vaccine carrier Book Chapter
In: Journal of Physics: Conference Series, vol. 1755, no. 1, pp. 012023, 2021.
@inbook{hasanat2021development,
title = {Development of a monitoring system and power management for an IoT based vaccine carrier},
author = {RT Hasanat and N Mansoor and N Mohammed and MS Rahman and M Rasheduzzaman},
year = {2021},
date = {2021-01-01},
booktitle = {Journal of Physics: Conference Series},
volume = {1755},
number = {1},
pages = {012023},
organization = {IOP Publishing},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Shad, Hasin Shahed; Jamal, Zeeshan; Ahmed, S. M. Foysal; Momen, Sifat; Mansoor, Nafees
Early Prediction of Chronic Kidney Disease Using Data Mining Techniques Inproceedings
In: Silhavy, Radek; Silhavy, Petr; Prokopova, Zdenka (Ed.): Data Science and Intelligent Systems, pp. 947–957, Springer International Publishing, Cham, 2021, ISBN: 978-3-030-90321-3.
@inproceedings{10.1007/978-3-030-90321-3_79,
title = {Early Prediction of Chronic Kidney Disease Using Data Mining Techniques},
author = {Hasin Shahed Shad and Zeeshan Jamal and S. M. Foysal Ahmed and Sifat Momen and Nafees Mansoor},
editor = {Radek Silhavy and Petr Silhavy and Zdenka Prokopova},
isbn = {978-3-030-90321-3},
year = {2021},
date = {2021-01-01},
booktitle = {Data Science and Intelligent Systems},
pages = {947--957},
publisher = {Springer International Publishing},
address = {Cham},
abstract = {Chronic kidney disease (CKD) is a serious health condition that may result in multifaceted kidney related issues affecting kidney structure and function. CKD is identified as a global public health concern. Unfortunately, the symptoms of CKD do not get manifested during its early stage. In this work, we have used machine learning approaches to reliably detecting CKD. We have applied different machine learning classifiers to detect Chronic Kidney Disease using a publicly available data set. Empirical results indicate that the Random Forest offers better prediction in predicting chronic kidney disease.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}