A belief rule based expert system to predict earthquake under uncertainty

MS Hossain, A Al Hasan, S Guha… - Journal of Wireless …, 2018 - diva-portal.org
The impact of earthquake is devastating, which has the capability to stop the socio-economic
activities of a region within a short span of time. Therefore, an earlier prediction of …

Inference and learning methodology of belief rule based expert system to assess chikungunya

Z Sultana, L Nahar, N Basnin, MS Hossain - International Conference on …, 2021 - Springer
Chikungunya virus (CHIKV) causes Chikungunya disease in human, transmitted by the
Aedes species of mosquito. To this date, no vaccines are available to cure this disease as a …

Comparative performance of tree based machine learning classifiers in product backorder prediction

F Ahmed, M Hasan, MS Hossain… - … Conference on Intelligent …, 2022 - Springer
Early prediction of whether a product will go to backorder or not is necessary for optimal
management of inventory that can reduce the losses in sales, establish a good relationship …

D3mciAD: data-driven diagnosis of mild cognitive impairment utilizing syntactic images generation and neural nets

MM Hasan, M Asaduzzaman, MM Rahman… - … Conference on Brain …, 2021 - Springer
Alzheimer's disease, an incurable chronic neurological disorder (NLD) that affects human
memory and demises cognitive thinking ability with shrinkage of the brain area. Early …

Safety-oriented credibility-based fuzzy incremental learning for predicting dependent outputs

L Chang, L Zhang, X Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Guaranteeing the safety of nearby buildings is essential in tunnel construction. In practice, it
is implemented by closely monitoring the daily and accumulated settlements, which are …

Ensemble machine learning technique for identifying covid-19 from ct scan images

R Deb Mohalder, A Sarder, K Asif Hossain… - Proceedings of the …, 2023 - Springer
COVID-19 is causing a pandemic situation around the globe and its rapid spread is very
alarming for us. It is also affecting our economy. Now it is time to automatic identification of …

Machine learning approach for energy consumption prediction in datacenters

A Merizig, T Bendahmane, S Merzoug… - 2020 2nd International …, 2020 - ieeexplore.ieee.org
Cloud Computing represents the ideal solution for end-users either small medium
enterprises or simple clients. This solution is given as a for clients to go from classic service …

An IoT Prototype for Monitoring Covid19 Patients Using Real Time Data from Wearable Sensor Through Android App

Z Sultana, L Nahar, S Sultana, F Tasnim… - … on Intelligent Computing …, 2022 - Springer
In the age of modern technology peoples are still facing a great challenges to manage and
monitor the infected patients of COVID-19. Many systems have been implemented to track …

Cooperative and distributed multiobjective optimization for heterogeneous belief rule base

X Tan, L Chang, Y Chen, Z Hao, G Wu - IEEE Systems Journal, 2021 - ieeexplore.ieee.org
So far, there has been only oneoptimization objective in belief rule base (BRB) learning-
related studies, either modeling accuracy via parameter learning, modeling complexity via …

[PDF][PDF] An internet of things belief rule base smart system to predict earthquake

MM Mia, A Al Hasan, R Atiqur… - Int J Reconfigurable & …, 2021 - pdfs.semanticscholar.org
An intelligent belief rule base (BRB) based system with internet of things (IoT) integration
can evaluate earthquake prediction (EP). This ingenious and rational system can predict …