AIMC Topic: India
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Leveraging ML to predict climate change impact on rice crop disease in Eastern India.
Environmental monitoring and assessment
Mar 8, 2025
Rice crop disease is critical in precision agriculture due to various influencing components and unstable environments. The current study uses machine learning (ML) models to predict rice crop disease in Eastern India based on biophysical factors for...
Prediction of malnutrition in kids by integrating ResNet-50-based deep learning technique using facial images.
Scientific reports
Mar 6, 2025
In recent times, severe acute malnutrition (SAM) in India is considered a serious issue as per UNICEF 2022 records. In that record, 35.5% of children under age 5 are stunted, 19.3% are wasted, and 32% are underweight. Malnutrition, defined as these t...
Hyperspectral discrimination of vegetable crops grown under organic and conventional cultivation practices: a machine learning approach.
Scientific reports
Mar 6, 2025
A verifiable and regional level method for mapping crops cultivated under organic practices holds significant promise for certifying and ensuring the quality of farm products marketed as organic. The prevailing method for the identification of organi...
Long-term solar radiation forecasting in India using EMD, EEMD, and advanced machine learning algorithms.
Environmental monitoring and assessment
Feb 18, 2025
Solar radiation plays a critical role in the carbon sequestration processes of terrestrial ecosystems, making it a key factor in environmental sustainability among various renewable energy sources. This study integrates two advanced signal processing...
An efficient approach on risk factor prediction related to cardiovascular disease around Kumbakonam, Tamil Nadu, India, using unsupervised machine learning techniques.
Scientific reports
Feb 13, 2025
Nowadays, human beings suffer from varieties of diseases due to the environmental circumstances and their residing habits. Cardiovascular diseases (CVD) are the leading cause of mortality among all diseases. CVDs are heart-related diseases. In early ...
Understanding Providers' Attitude Toward AI in India's Informal Health Care Sector: Survey Study.
JMIR formative research
Feb 10, 2025
BACKGROUND: Tuberculosis (TB) is a major global health concern, causing 1.5 million deaths in 2020. Diagnostic tests for TB are often inaccurate, expensive, and inaccessible, making chest x-rays augmented with artificial intelligence (AI) a promising...
Spatial prediction of forest fires in India: a machine learning approach for improved risk assessment and early warning systems.
Environmental science and pollution research international
Feb 1, 2025
Forest fires pose a significant ecological and environmental threat globally, and India has seen a marked increase in both the frequency and severity of these events in recent years. This has led to extensive damage to natural resources, including fo...
Trustworthy and Human Centric neural network approaches for prediction of landfill methane emission and sustainable waste management practices.
Waste management (New York, N.Y.)
Jan 30, 2025
Landfills rank third among the anthropogenic sources of methane gas in the atmosphere, hence there is a need for greater emphasis on the quantification of landfill methane emission for mitigating environmental degradation. However, the estimation and...
Integrating machine learning models for optimizing ecosystem health assessments through prediction of nitrate-N concentrations in the lower stretch of Ganga River, India.
Environmental science and pollution research international
Jan 30, 2025
Nitrate, a highly reactive form of inorganic nitrogen, is commonly found in aquatic environments. Understanding the dynamics of nitrate-N concentration in rivers and its interactions with other water-quality parameters is crucial for effective freshw...
Efficient diagnosis of diabetes mellitus using an improved ensemble method.
Scientific reports
Jan 25, 2025
Diabetes is a growing health concern in developing countries, causing considerable mortality rates. While machine learning (ML) approaches have been widely used to improve early detection and treatment, several studies have shown low classification a...
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