Public Health & Policy

Environmental Health

Latest AI and machine learning research in environmental health for healthcare professionals.

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Real-time image-based air quality estimation by deep learning neural networks.

Air quality profoundly impacts public health and environmental equity. Efficient and inexpensive air...

An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection.

The formalization and solution of supplier selection problems (SSPs) based on sustainable (economic,...

Neural network-based adaptive global sliding mode MPPT controller design for stand-alone photovoltaic systems.

The increasing energy demand and the target to reduce environmental pollution make it essential to u...

Assessment of the effect of sub-lethal acute toxicity of Emamectin benzoate in using multiple biomarker approach.

Emamectin benzoate (EMB) is a potent neurotoxin agent, widely used for ectoparasites control in aqua...

Photocatalytic dye degradation and photoexcited anti-microbial activities of green zinc oxide nanoparticles synthesized extracts.

Drug-resistant superbugs (DRS) were isolated from hospital sewage waste and confirmed by a 16S rDNA ...

Deciphering urban traffic impacts on air quality by deep learning and emission inventory.

Air pollution is a major obstacle to future sustainability, and traffic pollution has become a large...

Application of Deep Learning in Lung Cancer Imaging Diagnosis.

Lung cancer is one of the malignant tumors with the highest fatality rate and nearest to our lives. ...

Dynamic Space Allocation Based on Internal Demand for Optimizing Release of Shared Parking.

The size of cities has been continuously increasing because of urbanization. The number of public an...

Larvicidal activity and Histopathological changes of extracts and their combination on .

In order to develop an eco-friendly botanical larvicide alternative to the synthetic larvicides, ext...

Deep learning-based waste detection in natural and urban environments.

Waste pollution is one of the most significant environmental issues in the modern world. The importa...

Enhancing electrocardiographic analysis by combining a high-resolution 12-lead ECG with novel software tools.

INTRODUCTION: Signal-averaged electrocardiography is a non-invasive, computerized technique that amp...

Cytocompatible manganese dioxide-based hydrogel nanoreactors for MRI imaging.

The application of nanoparticles in magnetic resonance imaging (MRI) has been greatly increasing, du...

Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study.

Recent developments in cloud computing and the Internet of Things have enabled smart environments, i...

A systematic literature review of deep learning neural network for time series air quality forecasting.

Rapid progress of industrial development, urbanization and traffic has caused air quality reduction ...

Evolution of single-lead ECG for STEMI detection using a deep learning approach.

BACKGROUND: While ST-Elevation Myocardial Infarction (STEMI) door-to-balloon times are often below 9...

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