AIMC Topic: India

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Machine learning-based groundwater potential mapping and factor analysis in tropical lateritic terrains using self-organizing maps and random forest.

Environmental monitoring and assessment
Groundwater potential mapping is essential for sustainable water resource management, particularly in tropical lateritic terrains where communities depend heavily on groundwater for domestic and agricultural needs. This study delineates groundwater p...

Precision integrated identification of predictive first-trimester metabolomics signatures for early detection of gestational diabetes mellitus.

Cardiovascular diabetology
BACKGROUND AND AIM: Gestational diabetes mellitus (GDM), a common pregnancy-related metabolic disorder, often goes undiagnosed until the second trimester, limiting early intervention opportunities. Given the higher prevalence of GDM in India, there i...

Lightweight dual-stage feature refinement for black gram leaf disease classification using ConViTSE.

Scientific reports
Black gram, also known as urad bean, is an economically crucial crop widely cultivated in India, particularly in the central and southern regions. However, black gram is highly prone to multiple leaf diseases, resulting in considerable crop losses an...

Evaluating machine learning models and imputation strategies for Air Quality Index forecasting in urban India.

Environmental monitoring and assessment
Accurate Air Quality Index (AQI) prediction is essential for timely health risk management in urban environments, yet challenges such as missing data and complex pollutant interactions limit the performance of traditional approaches. This study inves...

Monitoring of granite quarries using deep learning and UAV photogrammetry in Bengaluru, India.

PloS one
Granite quarrying, a cornerstone of the construction industry in South India, yields significant economic benefits but poses substantial environmental and social challenges, including land degradation, dust pollution, alternation of the water regime,...

Bayesian model averaging based deep learning forecasts of inpatient bed occupancy in mental health facilities.

Scientific reports
Mental health disorders affect over 15% of the global working-age population, contributing to an annual economic loss of approximately USD 1 trillion due to diminished productivity and increased healthcare expenditures. In India, the post-pandemic su...

Machine learning to predict the role of CHWs in shifting birth preferences away from homebirth in India.

Scientific reports
This study utilized well-known supervised machine learning algorithms to NFHS‑5 data of West Bengal, India, to predict the place of birth (home vs facility) by integrating CHW (community health worker) contact factors and women participant's percepti...

Artificial intelligence in solid waste management in India: current status and future prospects.

Environmental monitoring and assessment
The fast-paced economic development in India has resulted in higher energy use and the generation of solid wastes, posing immense environmental and health problems. With a view to solving these, this review investigates the incorporation of artificia...

Adversarial susceptibility analysis for water quality prediction models.

Scientific reports
Water quality is a critical factor for human health and environmental sustainability. Rapid urbanization and industrialization have led to significant water contamination, increasing the prevalence of waterborne diseases. This study investigates the ...

Computer intelligence based model for mental health detection among Indian farming communities.

Scientific reports
Mental health challenges among Indian farmers are a critical yet under reviewed public health problem, especially in rural areas where access to men's health professionals is limited. Stress from crop failure, fluctuating prices, debt, and poor socia...