Latest Articles for Public Safety

Drones enhance real-time data collection for effective forest fire management.

A new method improves fingerprint security against presentation attacks.

New method improves speed and accuracy of wildfire forecasts.

IKDSumm effectively summarizes tweets during disasters using disaster-specific knowledge.

A new framework enhances understanding of events in time and space.

TelecomTM utilizes fiber-optic cables for efficient traffic monitoring.

A new approach allows image searches without costly paired data.

A novel network analysis approach enhances real-time earthquake detection and preparedness.

Examining how traffic flow models improve safety and planning.

A new approach for managing power systems amidst rising wildfire threats.

Using drones for traffic data improves safety and efficiency on roads.

This study examines GPS technology for predicting aftershocks in Japan.

Incineration's ultra-fine particles threaten public health and demand better filtration methods.

A team of drones coordinates to track and jam malicious UAVs effectively.

New methods protect privacy while enabling person identification in city surveillance.

Examining the need for regulations and the introduction of AI Architects for safety.

This study focuses on identifying accident-prone locations to improve road safety in Greece.

Learn how BLE and PRP enhance indoor positioning solutions.

New techniques leverage deep learning for timely wildfire detection and response.

A new strategy combines interception and herding to protect vital areas from drones.

AntiUAV600 dataset aids in drone detection and tracking, improving safety and privacy.

Research explores the use of speech recognition in police body camera footage analysis.

Introducing DSTCGCN for improved traffic forecasting accuracy.

Creating safe and efficient air transportation in cities requires careful planning.

New strategies aim to reduce wildfire threats to electrical infrastructure.

Examining how sea level changes affect coastlines and ecosystems.

Addressing safety and regulatory challenges of powerful AI systems.

This paper presents a novel model for analyzing event data on graph structures.

A new system improves earthquake monitoring by integrating multiple tasks and data sources.

A new approach enhances detection of unusual events in video footage.

New deep learning method improves earthquake shaking predictions for timely alerts.

A new dataset aims to improve hate speech detection on social media.

FSLens uses data visualization to optimize fire station placement for better community safety.

Introducing STZINB-GNN, a better model for predicting traffic accidents and uncertainties.

A new approach enhances accuracy in identifying people through independent attribute analysis.

Examining how technology improves pavement inspection and maintenance.

A user-friendly system for managing and analyzing geospatial video data.

A study using dynamic models to analyze flood probabilities in the Taquari River.

Research explores Twitter's role in detecting vehicle hijackings.

A new approach to traffic prediction that incorporates human activity data.