AIMC Topic: Bangladesh

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Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques.

PloS one Feb 7, 2025
BACKGROUND: Under-5 mortality remains a critical social indicator of a country's development and economic sustainability, particularly in developing nations like Bangladesh. This study employs machine learning models, including Linear Regression, Rid...
Linear Models Bangladesh Bayes Theorem Child Mortality Infant Mortality Male Infant Child, Preschool Humans Female Infant, Newborn Machine Learning Forecasting
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Combining deep learning and machine learning techniques to track air pollution in relation to vegetation cover utilizing remotely sensed data.

Journal of environmental management Feb 5, 2025
The rapid urban expansion in Dhaka, the capital of Bangladesh, has escalated air pollution levels and led to a significant decrease in green spaces. This study employed machine learning (ML) and deep learning (DL) techniques to examine the relationsh...
Machine Learning Remote Sensing Technology Air Pollution Particulate Matter Bangladesh Deep Learning Environmental Monitoring Air Pollutants
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Explore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh.

BMC public health Jan 29, 2025
BACKGROUND: Child mortality is a reliable and significant indicator of a nation's health. Although the child mortality rate in Bangladesh is declining over time, it still needs to drop even more in order to meet the Sustainable Development Goals (SDG...
Infant Child, Preschool Health Surveys Risk Factors Adult Male Child Mortality Bangladesh Humans Machine Learning Female Infant, Newborn
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Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh.

PLoS neglected tropical diseases Jan 16, 2025
BACKGROUND: Bangladesh is facing a formidable challenge in mitigating waterborne diseases risk exacerbated by climate change. However, a comprehensive understanding of the spatio-temporal dynamics of these diseases at the district level remains elusi...
Machine Learning Temperature Spatio-Temporal Analysis Incidence Humans Meteorological Concepts Typhoid Fever Waterborne Diseases Bangladesh Cholera
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Early childhood caries risk prediction using machine learning approaches in Bangladesh.

BMC oral health Jan 8, 2025
BACKGROUND: In the last years, artificial intelligence (AI) has contributed to improving healthcare including dentistry. The objective of this study was to develop a machine learning (ML) model for early childhood caries (ECC) prediction by identifyi...
Health Behavior Bangladesh Child, Preschool Dental Caries Mothers Machine Learning Female Risk Factors Humans Risk Assessment Infant Adult Male
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Advancing food security: Rice yield estimation framework using time-series satellite data & machine learning.

PloS one Dec 12, 2024
Timely and accurately estimating rice yields is crucial for supporting food security management, agricultural policy development, and climate change adaptation in rice-producing countries such as Bangladesh. To address this need, this study introduce...
Satellite Imagery Climate Change Food Security Crops, Agricultural Machine Learning Bangladesh Agriculture Oryza
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Reproductive performance of Channa striata in wetland ecosystems: a fuzzy logic approach to water quality and eco-climatic factors for long-term sustainable management and aquaculture advancement.

Environmental science and pollution research international Dec 10, 2024
The striped snakehead, Channa striata, is commercially and nutritionally important due to its medicinal properties, such as wound healing and antimicrobial abilities. This study investigated the reproductive biology of C. striata in relation to hydro...
Animals Bangladesh Wetlands Fishes Ecosystem Reproduction Fuzzy Logic Water Quality Aquaculture
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Prediction of undernutrition and identification of its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.

PloS one Dec 6, 2024
BACKGROUND AND OBJECTIVES: Child undernutrition is a leading global health concern, especially in low and middle-income developing countries, including Bangladesh. Thus, the objectives of this study are to develop an appropriate model for predicting ...
Humans Male Bangladesh Infant Machine Learning Thinness Infant, Newborn Child, Preschool Child Nutrition Disorders Growth Disorders Algorithms Risk Factors Female Logistic Models Cross-Sectional Studies Malnutrition
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Advancing mango leaf variant identification with a robust multi-layer perceptron model.

Scientific reports Nov 9, 2024
Mango, often regarded as the "king of fruits," holds a significant position in Bangladesh's agricultural landscape due to its popularity among the general population. However, identifying different types of mangoes, especially from mango leaves, pose...
Neural Networks, Computer Image Processing, Computer-Assisted Plant Leaves Bangladesh Mangifera
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Exploring Internet of Things adoption challenges in manufacturing firms: A Delphi Fuzzy Analytical Hierarchy Process approach.

PloS one Nov 4, 2024
Innovation is key to gaining a sustainable edge in an increasingly competitive global manufacturing landscape. For Bangladesh's manufacturing sector to survive and thrive in today's cutthroat business environment, adopting transformative technologies...
Bangladesh Commerce Manufacturing Industry Delphi Technique Fuzzy Logic Humans Internet of Things
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