Md Kamrul Islam
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Forest fires and climate change in India: impacts, adaptive strategies, and pathways for climate action (Sustainable Development Goal-13) Open
India has been witnessing a rise in forest fire frequency and intensity due to climate change factors such as increasing temperatures, erratic rainfall, and prolonged droughts. These changes pose severe risks to biodiversity, carbon stocks…
Performance Evaluation of Asphalt Concrete Incorporating Polyethylene Terephthalate-Coated Steel Slag Using Marshall Stability, Indirect Tensile Strength, and Moisture Susceptibility Tests Open
This study evaluates the performance of asphalt concrete incorporating steel slag aggregates coated with recycled polyethylene terephthalate (PET). The aim was to enhance adhesion between aggregate and binder while addressing environmental…
Factors affecting self-reported occupational health-related problems: a case study on improved traditional shrimp farmers in Bangladesh Open
This study explores the factors affecting self-reported occupational health problems among improved traditional shrimp farmers in Southwestern Bangladesh. Data was collected from 270 farmers in the districts of Khulna, Satkhira, and Bagerh…
View article: Unveiling pedestrian injury severity risk factors: A comparative analysis of machine learning and deep learning methods
Unveiling pedestrian injury severity risk factors: A comparative analysis of machine learning and deep learning methods Open
Pedestrian safety poses a pressing public health concern globally, accounting for a significant proportion of traffic-related injuries. Understanding the risk factors in vehicle crashes involving pedestrians is vital to developing and impl…
Predicting Indirect Tensile Strength of Rejuvenated Asphalt Mixes Using Machine Learning with High Reclaimed Asphalt Pavement Content Open
Predicting the performance of hot mix asphalt (HMA) is crucial for ensuring pavement durability, especially as the use of rejuvenated reclaimed asphalt pavement (RAP) increases in sustainable construction. Indirect tensile strength (ITS) i…
Climate change induced extreme meteorological conditions over sub-tropical environment: pathways towards achieving Sustainable Development Goals (SDGs) Open
Recently, one of the environmental topics that has been studied and discussed the most among the researchers is global warming and climate change. Globally, there has been a lot of focus on the variability of the climate, especially about …
Lactate-to-Albumin Ratio (LAR) as a Predictor of All-Cause Mortality in Patients With Myocardial Infarction: A Systematic Review and Meta-Analysis Open
Myocardial infarction (MI) remains a significant global health challenge, necessitating innovative approaches for early risk stratification. This systematic review and meta-analysis investigated the prognostic value of the lactate-to-album…
Optimizing the multi-model ensemble of CMIP6 GCMs for climate simulation over Bangladesh Open
This study aims to enhance the precision of climate simulations by optimizing a multi-model ensemble of General Circulation Models (GCMs) for simulating precipitation, maximum temperature (Tmax), and minimum temperature (Tmin). Bangladesh,…
View article: Long Term and Short Term Spatio‐Temporal Characterisation of Rainfall Variability and Dynamicity Over the Westernmost Part of West Bengal, India Using Modified Mann‐Kendal Test and Innovative Trend Analysis
Long Term and Short Term Spatio‐Temporal Characterisation of Rainfall Variability and Dynamicity Over the Westernmost Part of West Bengal, India Using Modified Mann‐Kendal Test and Innovative Trend Analysis Open
It has become important to understand the dynamic nature of hydro‐meteorological phenomena, especially rainfall, as rainfall is considered to be the principal source of water in the hydrological cycle. Purulia, the westernmost district of …
Frequency of Post-operative Surgical Site Infections among Cancer Patients Open
Background: Surgical site infections (SSIs) are a significant post-operative complication, leading to prolonged hospital stays, increased healthcare costs, and higher morbidity. Identifying SSI frequency and associated risk factors is cruc…
Occupational health safety in aquaculture: A case study on semi-intensive shrimp farmers of Bangladesh Open
The study examined health safety issues among semi-intensive shrimp farmers in southwestern Bangladesh. The study assessed semi-intensive shrimp farmers’ knowledge, attitudes, and practices (KAP) on health and safety during their farm acti…
View article: Enhancing flood susceptibility mapping in Meghna River basin by introducing ensemble Naive Bayes with stacking algorithms
Enhancing flood susceptibility mapping in Meghna River basin by introducing ensemble Naive Bayes with stacking algorithms Open
This article intends to assess flood susceptibility mapping in Meghna River basin (MRB) and identified flood susceptible regions using three benchmark models including random forest (RF), support vector machine (SVM) and bagging with Naïve…
Socioeconomic, demographic and environmental factors of child drownings in Northern Bangladesh Open
Background Drowning is the leading cause of death among children aged 0–17 years in rural Bangladesh, resulting in over 14 438 deaths annually—an average of 43 deaths per day. This study aims to identify socioeconomic, demographic and envi…
Complications in Laparoscopic Cholecystectomy: A Study in a Tertiary Care Hospital in Bangladesh Open
Background: Laparoscopic cholecystectomy is the standard procedure for gallbladder diseases, offering reduced postoperative pain, shorter hospital stays, and quicker recovery. However, complications such as bile duct injury, hemorrhage, an…
COVID-19 social and economic disruptions, mental health, and coping behaviours among young Canadians: a structural equation model Open
The COVID-19 pandemic increased the prevalence of mental health disorders among youths. This study explored the association between COVID-19’s social and economic disruptions, mental health disorders, and coping behaviours among youths usi…
View article: Mapping the Machine Learning Landscape in Autonomous Vehicles: A Scientometric Review of Research Trends, Applications, Challenges, and Future Directions
Mapping the Machine Learning Landscape in Autonomous Vehicles: A Scientometric Review of Research Trends, Applications, Challenges, and Future Directions Open
In recent years, Machine Learning (ML) has emerged as a transformative technology in the field of Autonomous Vehicles and Autonomous Driving, fundamentally reshaping vehicle perception, decision-making, and control mechanisms. The integrat…
Toward Sustainable and Clean Energy Futures: A Techno-Economic Review of Solar PV Systems, Challenges, and Opportunities Open
The integration of solar photovoltaic (PV) systems has gained significant attention from the global community, aiming to reduce dependency on fossil fuels and combat climate change. This paper provides a comprehensive review of the latest …
Assessing User Satisfaction in E-Haj Systems: Insights from Bangladesh Open
This study examines how e-haj management systems in Bangladesh affect user satisfaction. Therefore, the authors presented the hypothesis using webQual 4.0 Model. Data was collected using a 5-point-lickert questionnaire. 347 valid data were…
Prevalence of mastitis and antimicrobial resistance patterns of Escherichia coli and Staphylococcus aureus isolated from the infected udder of dairy cows in coastal regions Open
Prevalence of mastitis and their antimicrobial resistance in Amtali (sub-district) area of Barguna District were studied. Mastitis was diagnosed by examining the udder and milk of 300 dairy cows. The bacteria were cultured and biochemical …
Machine Learning with WEKA for Predicting Concrete Compressive Strength: An Educational Approach for Civil Engineering Students Open
The research paper explores the application of machine learning algorithms using the WEKA platform to predict the compressive strength of concrete, a critical aspect of civil engineering. This study focuses on educating undergraduate stude…
Delineating the drought vulnerability zones in Bangladesh Open
The research aims to explore the vulnerability of Bangladesh to drought by considering a comprehensive set of twenty-four factors, classified into four major categories: meteorological, hydrological, agricultural, and socioeconomic vulnera…
SAR-driven flood inventory and multi-factor ensemble susceptibility modelling using machine learning frameworks Open
Climate change has substantially increased both the occurrence and intensity of flood events, particularly in the Indian subcontinent, exacerbating threats to human populations and economic infrastructure. The present research employed nov…