Latest Articles for Public Safety

Discover the role of IoT in enhancing operations across defense and public safety.

Rijkswaterstaat seeks better models for tunnel control systems.

Recent findings reveal vulnerabilities in wireless charging that can lead to device damage.

This research applies antifragility to improve urban traffic management during disruptions.

Examining methods to improve facial recognition across diverse demographics.

Innovative system combines radar and visual data for safer public spaces.

Combining thermal and RGB imaging for improved wildfire detection.

A guide on resource allocation strategies to curb illegal activities.

Texas seeks solutions to improve power grid resilience post-Winter Storm Uri.

CAVs can improve traffic flow and safety through communication and cooperation.

Research on CCHF presence among pastoral communities reveals health risks.

Visibility maps enhance fire safety by ensuring clear exit paths during smoke conditions.

This article examines how LLMs can monitor critical infrastructure during disasters using social media data.

A fresh approach to multi-robot coordination in rescue operations during emergencies.

GeoFlood helps predict water spread during floods, improving safety and preparedness.

A new method combines local and global data for better event predictions.

Using advanced models to forecast bridge scour depth for improved safety.

Learn about anthrax, its effects, and prevention methods.

Learn how experts predict wildfires using data and models.

Analyzing privacy challenges in mission-critical communication within 5G technology frameworks.

A study presents a method to analyze fault zone shapes using recent earthquake data.

New XL-RIS technology improves mobile tracking accuracy in complex environments.

Essential services face increasing threats; protecting them is crucial for national safety.

Exploring the advancements and challenges in masked face recognition systems.

Efficiently monitors wrong-way cycling to improve road safety for all users.

This article discusses how generative AI improves tracking movement in crowded spaces.

This study presents a method to better estimate point density in spatial data.

A study explores the use of deep neural networks in understanding radiation exposure risk.

A new approach to enhance traffic systems by focusing on adaptability.

Study reveals potential biases in AI decision-making for police intervention.

JOSENet improves real-time detection of violence in surveillance footage using advanced methods.

A study investigates e-scooter user behavior in various traffic scenarios.

This article examines crowd behavior and strategies for effective management.

Examining the potential of ML models in predicting extreme weather events.

A new approach improves fairness in identifying hate speech across diverse groups.

Examining the impact of wildlife accidents on railway safety in southern Poland.

A new method combines strategies to improve fairness in crime predictions.

A unique dataset enhances research on aircraft health monitoring through vibration analysis.

Using data transfer to improve crime prediction models in various cities.

A new approach for effective infrastructure maintenance using advanced algorithms.