Latest Articles for Public Safety

A new approach for effective infrastructure maintenance using advanced algorithms.

Machine learning models like FourCastNet enhance weather forecasting accuracy through data assimilation.

This study examines audio methods for tracking pedestrian movement in urban areas.

A new method for investing in power distribution systems to tackle wildfire risks.

Introducing a method for fast video classifications based on early frame analysis.

DrugWatch helps users find drug safety information easily.

Real-time mobile data helps detect unusual events in cities.

Understanding risk thresholds in advanced AI for public safety and security.

A new method enhances urban analysis through better data representation.

A novel approach enhances traffic predictions using wavelet transformation and attention mechanisms.

Awareness and concerns about deepfakes grow amid rising technology advancements.

New method enhances accuracy in counting crowds using advanced techniques.

Exploring how AI improves the analysis of extreme weather forecasts.

SEE offers an efficient approach to identify fake news using raw evidence from the internet.

Examining the expenses of typhoid vaccines for travelers and their implications.

CrowdMAC improves predictions in crowd density forecasting despite incomplete data.

New methods using panoramic cameras aim to enhance cyclist safety on urban roads.

Tattoos are popular, but concerns about their safety and health risks rise.

A new framework for assessing and mitigating wildfire risks in California.

Research focuses on identifying abusive speech in audio recordings across languages.

Study shows increased vulnerability to QR code scams on college campuses.

A new technique enhances tracking accuracy for crowds using drones.

New methods improve metal detection while ensuring privacy and safety.

A new tool aids in strategizing security patrols effectively.

A new method improves pedestrian density estimation in open spaces.

New systems combine audio and video for better violence detection in public spaces.

This study examines using technology to evaluate safety perceptions in cities.

A study on crime and public safety patterns in Calgary's neighborhoods.

Analyzing how public behavior influences the cycles of pandemics.

A data-driven approach to enhance traffic flow and safety at city intersections.

Introducing a method to enhance turbulence measurement and infrared image clarity.

New dataset and model improve head detection in crowded scenes.

PersonViT improves individual identification across different camera feeds using innovative techniques.

A-BDD enhances ML training for self-driving cars in poor weather.

A new approach enhances crowd counting accuracy under adverse weather conditions.

A look at how emotions influence group behavior and interactions.

Synthetic cannabinoids in e-cigarettes pose serious risks for young users in England.

A new system enhances traffic monitoring and management in cities.

New machine learning techniques aim to improve flood forecasting accuracy.

Using smart technology to optimize traffic flow in growing cities.