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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.
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.
Machine Learning Based IoT Adaptive Architecture for Epilepsy Seizure Detection: Anatomy and Analysis
A seizure tracking system is crucial for monitoring and evaluating epilepsy treatments.
A Deep Analysis of Transfer Learning Based Breast Cancer Detection Using Histopathology Images
Breast cancer is one of the most common and dangerous cancers in women, while it can also afflict men.
LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model
A computerized tomography (CT) scan-based image is one of the most effective imaging techniques for lung cancer detection using deep learning models.
Speech Emotion Recognition using Supervised Deep Recurrent System for Mental Health Monitoring
Understanding human behavior and monitoring mental health are essential to maintaining the community and society's safety.
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.
