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Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems
This research aims to bridge existing research gaps by introducing benchmark datasets that leverage state-of-the-art algorithms tailored for traffic accident detection in smart cities.
Smart City Transportation: Deep Learning Ensemble Approach for Traffic Accident Detection
The dynamic and unpredictable nature of road traffic necessitates effective accident detection methods for enhancing safety and streamlining traffic management in smart cities.
AI on the Road: A Comprehensive Analysis of Traffic Accidents and Accident Detection System in Smart Cities
Accident detection and traffic analysis is a critical component of smart city and autonomous transportation systems that can reduce accident frequency, severity and improve overall traffic management.
Baby Physical Safety Monitoring in Smart Home Using Action Recognition System
In this study, we present a novel lightweight framework combining transfer learning techniques with a Conv2D LSTM layer to extract features from the pre-trained I3D model on the Kinetics dataset for a new AR task (Smart Baby Care) that requires a smaller dataset and less computational resources.
Review on Action Recognition for Accident Detection in Smart City Transportation Systems
This paper presents an intensive review focusing on action recognition in accident detection and autonomous transportation systems for a smart city.
Deep Learning Algorithm for Threat Detection in Hackers Forum (Deep Web)
Developing tools that can be deployed for threat detection is integral in securing digital communication in cyberspace.
