Mohammad Kamrul Hasan
Biographic Data
| ID | 6554762 |
|---|---|
| NAME | Mohammad Kamrul Hasan |
| GIVEN NAMES | Mohammad Kamrul |
| FAMILY NAME | Hasan |
| SIGNATURE | HASAN M K |
| AFFILIATIONS | National University of Malaysia |
| ORCID | 0000-0002-8565-9511 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 12 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Network analysis (NA) in identifying the central nodes of the logistics performance indicators of selected Asian economies
This study aims to evaluate the structural relationships between the six Logistics Performance Index (LPI) indicators established by the World Bank. Utilizing annual data from 26 Asian economies spanning 2007 to 2023, it employs network analysis (NA) to identify the most central and significant indicators within the regional logistics ecosystem. The findings revealed that the quality of trade and transport-related infrastructure (QTTINFRT), the c…
Biomass accumulation and carbon stocks of soil and tree components of different agroforestry systems in tropical moist regions of Bangladesh
The quantification of tree biomass and soil carbon stock under different agroforestry systems revealed that these ecosystems can serve as viable option for climate change mitigation in Bangladesh. • In 7–10 years agroforestry systems, approximately 102.15 to 226.05 t ha -1 carbon was stored in trees and 37.53 to 51.22 t ha -1 in soil to a depth of 30 cm. • The highest tree biomass accumulation and soil carbon stock was observed in MAS followed by…
A novel segmented random search based batch scheduling algorithm in fog computing
A lightweight security model for ensuring patient privacy and confidentiality in telehealth applications
Delving into Piper chaba- based agroforestry system in northern Bangladesh
As an eco-friendly land management strategy, agroforestry can combine farming, forestry, and livestock to provide an assortment of ecosystem services (ES). Piper Chaba- based agroforestry system (PCAFS), a prevalent agroforestry system in northern Bangladesh appeared to protect the environment while offering diversified ES, however, there was insufficient literature-based data to back these claims. Addressing this discrepancy, the study surveyed …
Implications of refugee crisis on public sector healthcare organizations
Political crises, like the refugee crisis, present significant challenges to nation-states and public sector entities. The influx of refugees from Myanmar to Bangladesh has intensified over recent decades, notably after severe violence erupted in Myanmar’s Rakhine state on 25 August 2017. This study focuses on public service organizations, aiming to understand the impact of the Rohingya refugee crisis. Using a qualitative approach and drawing on …
Gray wolf optimization-extreme learning machine approach for diabetic retinopathy detection
Many works have employed Machine Learning (ML) techniques in the detection of Diabetic Retinopathy (DR), a disease that affects the human eye. However, the accuracy of most DR detection methods still need improvement. Gray Wolf Optimization-Extreme Learning Machine (GWO-ELM) is one of the most popular ML algorithms, and can be considered as an accurate algorithm in the process of classification, but has not been used in solving DR detection. Ther…
An Empirical Model to Predict the Diabetic Positive Using Stacked Ensemble Approach
Today, disease detection automation is widespread in healthcare systems. The diabetic disease is a significant problem that has spread widely all over the world. It is a genetic disease that causes trouble for human life throughout the lifespan. Every year the number of people with diabetes rises by millions, and this affects children too. The disease identification involves manual checking so far, and automation is a current trend in the medical…
Agroforestry systems and their impact on livelihood improvement of tribal farmers in a tropical moist deciduous forest in Bangladesh
This study investigates the composition of and preferences by farmers related to trees and crops planted in agroforestry systems, and their role on the livelihood of tribal farmers in a tropical moist deciduous forest in Tangail, Bangladesh. Data was collected from 150 tribal farmers practicing different types of agroforestry systems in Madhupur Sal forest, using a mixed-method strategy that included a survey, focus group discussion, key informan…
A Comprehensive Review on the Optical Micro-Electromechanical Sensors for the Biomedical Application
This study presented an overview of current developments in optical micro-electromechanical systems in biomedical applications. Optical micro-electromechanical system (MEMS) is a particular class of MEMS technology. It combines micro-optics, mechanical elements, and electronics, called the micro-opto electromechanical system (MOEMS). Optical MEMS comprises sensing and influencing optical signals on micron-level by incorporating mechanical, electr…
Fischer Linear Discrimination and Quadratic Discrimination Analysis–Based Data Mining Technique for Internet of Things Framework for Healthcare
The internet of reality or augmented reality has been considered a breakthrough and an outstanding critical mutation with an emphasis on data mining leading to dismantling of some of its assumptions among several of its stakeholders. In this work, we study the pillars of these technologies connected to web usage as the Internet of things (IoT) system's healthcare infrastructure. We used several data mining techniques to evaluate the online advert…
A Predictive and Preventive Model for Onset of Alzheimer's Disease
Alzheimer's Disease (AD) is a neurodegenerative irreversible brain disorder that gradually wipes out the memory, thinking skills and eventually the ability to carry out day-to-day tasks. The amount of AD patients is rapidly increasing due to several lifestyle changes that affect biological functions. Detection of AD at its early stages helps in the treatment of patients. In this paper, a predictive and preventive model that uses biomarkers such a…
Implications of refugee crisis on public sector healthcare organizations
Political crises, like the refugee crisis, present significant challenges to nation-states and public sector entities. The influx of refugees from Myanmar to Bangladesh has intensified over recent decades, notably after severe violence erupted in Myanmar’s Rakhine state on 25 August 2017. This study focuses on public service organizations, aiming to understand the impact of the Rohingya refugee crisis. Using a qualitative approach and drawing on …
A Comprehensive Review on the Optical Micro-Electromechanical Sensors for the Biomedical Application
This study presented an overview of current developments in optical micro-electromechanical systems in biomedical applications. Optical micro-electromechanical system (MEMS) is a particular class of MEMS technology. It combines micro-optics, mechanical elements, and electronics, called the micro-opto electromechanical system (MOEMS). Optical MEMS comprises sensing and influencing optical signals on micron-level by incorporating mechanical, electr…
Fischer Linear Discrimination and Quadratic Discrimination Analysis–Based Data Mining Technique for Internet of Things Framework for Healthcare
The internet of reality or augmented reality has been considered a breakthrough and an outstanding critical mutation with an emphasis on data mining leading to dismantling of some of its assumptions among several of its stakeholders. In this work, we study the pillars of these technologies connected to web usage as the Internet of things (IoT) system's healthcare infrastructure. We used several data mining techniques to evaluate the online advert…
A Predictive and Preventive Model for Onset of Alzheimer's Disease
Alzheimer's Disease (AD) is a neurodegenerative irreversible brain disorder that gradually wipes out the memory, thinking skills and eventually the ability to carry out day-to-day tasks. The amount of AD patients is rapidly increasing due to several lifestyle changes that affect biological functions. Detection of AD at its early stages helps in the treatment of patients. In this paper, a predictive and preventive model that uses biomarkers such a…
Gray wolf optimization-extreme learning machine approach for diabetic retinopathy detection
Many works have employed Machine Learning (ML) techniques in the detection of Diabetic Retinopathy (DR), a disease that affects the human eye. However, the accuracy of most DR detection methods still need improvement. Gray Wolf Optimization-Extreme Learning Machine (GWO-ELM) is one of the most popular ML algorithms, and can be considered as an accurate algorithm in the process of classification, but has not been used in solving DR detection. Ther…
An Empirical Model to Predict the Diabetic Positive Using Stacked Ensemble Approach
Today, disease detection automation is widespread in healthcare systems. The diabetic disease is a significant problem that has spread widely all over the world. It is a genetic disease that causes trouble for human life throughout the lifespan. Every year the number of people with diabetes rises by millions, and this affects children too. The disease identification involves manual checking so far, and automation is a current trend in the medical…
Agroforestry systems and their impact on livelihood improvement of tribal farmers in a tropical moist deciduous forest in Bangladesh
This study investigates the composition of and preferences by farmers related to trees and crops planted in agroforestry systems, and their role on the livelihood of tribal farmers in a tropical moist deciduous forest in Tangail, Bangladesh. Data was collected from 150 tribal farmers practicing different types of agroforestry systems in Madhupur Sal forest, using a mixed-method strategy that included a survey, focus group discussion, key informan…
A novel segmented random search based batch scheduling algorithm in fog computing
A lightweight security model for ensuring patient privacy and confidentiality in telehealth applications
Delving into Piper chaba- based agroforestry system in northern Bangladesh
As an eco-friendly land management strategy, agroforestry can combine farming, forestry, and livestock to provide an assortment of ecosystem services (ES). Piper Chaba- based agroforestry system (PCAFS), a prevalent agroforestry system in northern Bangladesh appeared to protect the environment while offering diversified ES, however, there was insufficient literature-based data to back these claims. Addressing this discrepancy, the study surveyed …
Implications of refugee crisis on public sector healthcare organizations
Political crises, like the refugee crisis, present significant challenges to nation-states and public sector entities. The influx of refugees from Myanmar to Bangladesh has intensified over recent decades, notably after severe violence erupted in Myanmar’s Rakhine state on 25 August 2017. This study focuses on public service organizations, aiming to understand the impact of the Rohingya refugee crisis. Using a qualitative approach and drawing on …
Biomass accumulation and carbon stocks of soil and tree components of different agroforestry systems in tropical moist regions of Bangladesh
The quantification of tree biomass and soil carbon stock under different agroforestry systems revealed that these ecosystems can serve as viable option for climate change mitigation in Bangladesh. • In 7–10 years agroforestry systems, approximately 102.15 to 226.05 t ha -1 carbon was stored in trees and 37.53 to 51.22 t ha -1 in soil to a depth of 30 cm. • The highest tree biomass accumulation and soil carbon stock was observed in MAS followed by…
Network analysis (NA) in identifying the central nodes of the logistics performance indicators of selected Asian economies
This study aims to evaluate the structural relationships between the six Logistics Performance Index (LPI) indicators established by the World Bank. Utilizing annual data from 26 Asian economies spanning 2007 to 2023, it employs network analysis (NA) to identify the most central and significant indicators within the regional logistics ecosystem. The findings revealed that the quality of trade and transport-related infrastructure (QTTINFRT), the c…
Computer Science (7 works) · Artificial Intelligence (4 works) · Machine learning (4 works) · Support vector machine (4 works) · Agroforestry (3 works) · Artificial neural network (3 works) · Geography (3 works) · Agriculture (2 works) · Agroforestry and silvopastoral systems (2 works) · Algorithm (2 works)