AIMC Topic: Bangladesh

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Leveraging machine learning algorithms in dynamic modeling of urban expansion, surface heat islands, and carbon storage for sustainable environmental management in coastal ecosystems.

Journal of environmental management Sep 20, 2024
Climate change and rapid urbanization are dramatically altering coastal ecosystems worldwide, with significant implications for land surface temperatures (LST) and carbon stock concentration (CSC). This study investigates the impacts of day and night...
Ecosystem Carbon Climate Change Bangladesh Urbanization Carbon Sequestration Machine Learning Algorithms
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Comparison of RNN-LSTM, TFDF and stacking model approach for weather forecasting in Bangladesh using historical data from 1963 to 2022.

PloS one Sep 19, 2024
Forecasting the weather in an area characterized by erratic weather patterns and unpredictable climate change is a challenging endeavour. The weather is classified as a non-linear system since it is influenced by various factors that contribute to cl...
Data Mining Humans Humidity Climate Change Forecasting Neural Networks, Computer Bangladesh Decision Trees Machine Learning Weather
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Suicidal behaviors among high school graduates with preexisting mental health problems: A machine learning and GIS-based study.

The International journal of social psychiatry Sep 5, 2024
BACKGROUND: Suicidal behavior among adolescents with mental health disorders, such as depression and anxiety, is a critical issue. This study explores the prevalence and predictors of past-year suicidal behaviors among Bangladeshi high school graduat...
Female Risk Factors Cross-Sectional Studies Humans Machine Learning Mental Disorders Suicide, Attempted Adolescent Suicidal Ideation Bangladesh Male Prevalence Geographic Information Systems
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Metabolic syndrome predictive modelling in Bangladesh applying machine learning approach.

PloS one Sep 5, 2024
Metabolic syndrome (MetS) is a cluster of interconnected metabolic risk factors, including abdominal obesity, high blood pressure, and elevated fasting blood glucose levels, that result in an increased risk of heart disease and stroke. In this resear...
Humans Machine Learning Metabolic Syndrome Young Adult Female Middle Aged Obesity, Abdominal Adult Prevalence Risk Factors Bangladesh Male Aged Adolescent
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Appraisal of microplastic pollution and its related risks for urban indoor environment in Bangladesh using machine learning and diverse risk evolution indices.

Environmental pollution (Barking, Essex : 1987) Jul 27, 2024
The widespread presence of Microplastics (MPs) is increasing in the indoor environment due to increasing annual plastic usage, which is becoming a global threat to human health. Therefore, this is the first research in Bangladesh to identify, and cha...
Air Pollution, Indoor Environmental Exposure Microplastics Bangladesh Dust Environmental Monitoring Air Pollutants Humans Machine Learning Risk Assessment
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Development of machine learning models predicting mortality using routinely collected observational health data from 0-59 months old children admitted to an intensive care unit in Bangladesh: critical role of biochemistry and haematology data.

BMJ paediatrics open Jul 22, 2024
INTRODUCTION: Treatment in the intensive care unit (ICU) generates complex data where machine learning (ML) modelling could be beneficial. Using routine hospital data, we evaluated the ability of multiple ML models to predict inpatient mortality in a...
Infant, Newborn Male Infant Retrospective Studies Intensive Care Units Female Bangladesh Child, Preschool Hospital Mortality ROC Curve Humans Machine Learning
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Prediction of arsenic concentration in groundwater of Chapainawabganj, Bangladesh: machine learning-based approach to spatial modeling.

Environmental science and pollution research international Jul 9, 2024
Groundwater in northwestern parts of Bangladesh, mainly in the Chapainawabganj District, has been contaminated by arsenic. This research documents the geographical distribution of arsenic concentrations utilizing machine learning techniques. The stud...
Machine Learning Groundwater Bangladesh Environmental Monitoring Water Pollutants, Chemical Arsenic
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Enhancing post-training evaluation of annual performance agreement training: A fusion of fsQCA and artificial neural network approach.

PloS one Jun 25, 2024
This study aims to enhance the post-training evaluation of the annual performance agreement (APA) training organized by the Bangladesh Public Administration Training Centre (BPATC), the apex training institute for civil servants. Utilizing fuzzy-set ...
Surveys and Questionnaires Bangladesh Female Adult Male Humans Neural Networks, Computer Learning
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Appraising water resources for irrigation and spatial analysis based on fuzzy logic model in the tribal-prone areas of Bangladesh.

Environmental monitoring and assessment Jun 21, 2024
The lack of quality water resources for irrigation is one of the main threats for sustainable farming. This pioneering study focused on finding the best area for farming by looking at irrigation water quality and analyzing its location using a fuzzy ...
Groundwater Environmental Monitoring Water Pollutants, Chemical Fuzzy Logic Water Quality Agricultural Irrigation Spatial Analysis Water Resources Bangladesh
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Automated detection of selected tea leaf diseases in Bangladesh with convolutional neural network.

Scientific reports Jun 18, 2024
Globally, tea production and its quality fundamentally depend on tea leaves, which are susceptible to invasion by pathogenic organisms. Precise and early-stage identification of plant foliage diseases is a key element in preventing and controlling th...
Image Processing, Computer-Assisted Plant Leaves Neural Networks, Computer Camellia sinensis Tea Plant Diseases Bangladesh
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