Public Health & Policy

Environmental Health

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

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Deep Learning in the Detection of Disinformation about COVID-19 in Online Space.

This article focuses on the problem of detecting disinformation about COVID-19 in online discussions...

Development and Verification of Postural Control Assessment Using Deep-Learning-Based Pose Estimators: Towards Clinical Applications.

Occupational therapists evaluate various aspects of a client's occupational performance. Among these...

Audit lead selection and yield prediction from historical tax data using artificial neural networks.

Tax audits are a crucial process adopted in all tax departments to ensure tax compliance and fairnes...

Bioinspired 3D-Printed Snakeskins Enable Effective Serpentine Locomotion of a Soft Robotic Snake.

We present a multi-material three-dimensional-printed snakeskin with orthotropic friction anisotropy...

A systematic review: Chest radiography images (X-ray images) analysis and COVID-19 categorization diagnosis using artificial intelligence techniques.

COVID-19 pandemic created a turmoil across nations due to Severe Acute Respiratory Syndrome Corona v...

Identifying an Optimal Neuroinflammation Treatment Using a Nanoligomer Discovery Engine.

Acute activation of innate immune response in the brain, or neuroinflammation, protects this vital o...

Alternaria spore exposure in Bavaria, Germany, measured using artificial intelligence algorithms in a network of BAA500 automatic pollen monitors.

Although Alternaria spores are well-known allergenic fungal spores, automatic bioaerosol recognition...

Artificial neural networks in contemporary toxicology research.

Artificial neural networks (ANNs) have a huge potential in toxicology research. They may be used to ...

Prediction of monthly dry days with machine learning algorithms: a case study in Northern Bangladesh.

Dry days at varied scale are an important topic in climate discussions. Prolonged dry days define a ...

Generative deep learning enables the discovery of a potent and selective RIPK1 inhibitor.

The retrieval of hit/lead compounds with novel scaffolds during early drug development is an importa...

Dark-Channel Enhanced-Compensation Net: An end-to-end inner-reflection compensation method for immersive projection system.

Immersive projection display system is widely adopted in virtual reality and various exhibition hall...

Development of an Artificial Neural Network Algorithm Embedded in an On-Site Sensor for Water Level Forecasting.

Extreme weather events cause stream overflow and lead to urban inundation. In this study, a decentra...

Predicting ammonia nitrogen in surface water by a new attention-based deep learning hybrid model.

Ammonia nitrogen (NH-N) is closely related to the occurrence of cyanobacterial blooms and destructio...

Measure emissions to manage emissions.

In the 30 years since the world began negotiating the reduction of greenhouse gas (GHG) emissions, n...

Data-driven predictive modeling of PM concentrations using machine learning and deep learning techniques: a case study of Delhi, India.

The present study intends to use machine learning (ML) and deep learning (DL) models to forecast PM ...

Detection of arrhythmia in 12-lead varied-length ECG using multi-branch signal fusion network.

Automatic detection of arrhythmia based on electrocardiogram (ECG) plays a critical role in early pr...

Introduction to the Theme "Development of New Drugs: Moving from the Bench to Bedside and Improved Patient Care".

Investigations in pharmacology and toxicology range from molecular studies to clinical care. Studies...

PM2.5 forecasting for an urban area based on deep learning and decomposition method.

Rapid growth in industrialization and urbanization have resulted in high concentration of air pollut...

Deep learning for religious and continent-based toxic content detection and classification.

With time, numerous online communication platforms have emerged that allow people to express themsel...

Air Quality Index prediction using an effective hybrid deep learning model.

Environmentalism has become an intrinsic part of everyday life. One of the greatest challenge to the...

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