CNN variants for computer vision: History, architecture, application, challenges and future scope
Computer vision is becoming an increasingly trendy word in the area of image processing.
With the emergence of computer vision applications, there is a significant demand to …
With the emergence of computer vision applications, there is a significant demand to …
A review on early forest fire detection systems using optical remote sensing
The environmental challenges the world faces nowadays have never been greater or more
complex. Global areas covered by forests and urban woodlands are threatened by natural …
complex. Global areas covered by forests and urban woodlands are threatened by natural …
A survey of the recent architectures of deep convolutional neural networks
Abstract Deep Convolutional Neural Network (CNN) is a special type of Neural Networks,
which has shown exemplary performance on several competitions related to Computer …
which has shown exemplary performance on several competitions related to Computer …
A modified YOLOv5 architecture for efficient fire detection in smart cities
Fire disasters are considered to be among the most harmful hazards, causing fatalities,
ecological and economic chaos, property damage, and they can even impact climate …
ecological and economic chaos, property damage, and they can even impact climate …
Efficient fire detection for uncertain surveillance environment
Tactile Internet can combine multiple technologies by enabling intelligence via mobile edge
computing and data transmission over a 5G network. Recently, several convolutional neural …
computing and data transmission over a 5G network. Recently, several convolutional neural …
Wildland forest fire smoke detection based on faster R-CNN using synthetic smoke images
In this paper, Faster R-CNN was used to detect wildland forest fire smoke to avoid the
complex manually feature extraction process in traditional video smoke detection methods …
complex manually feature extraction process in traditional video smoke detection methods …
Video flame and smoke based fire detection algorithms: A literature review
This review is focused on video flame and smoke based fire detection algorithms for both
indoor and outdoor environments. It analyzes and discusses them in a taxonomical manner …
indoor and outdoor environments. It analyzes and discusses them in a taxonomical manner …
Fire detection in video surveillances using convolutional neural networks and wavelet transform
Fire is one of the most frequent and common emergencies threatening public safety and
social development. Recently, intelligent fire detection technologies represented by …
social development. Recently, intelligent fire detection technologies represented by …
Optimized dual fire attention network and medium-scale fire classification benchmark
Vision-based fire detection systems have been significantly improved by deep models;
however, higher numbers of false alarms and a slow inference speed still hinder their …
however, higher numbers of false alarms and a slow inference speed still hinder their …
[Retracted] Vision Sensor‐Based Real‐Time Fire Detection in Resource‐Constrained IoT Environments
Fire detection and management is very important to prevent social, ecological, and
economic damages. However, achieving real‐time fire detection with higher accuracy in an …
economic damages. However, achieving real‐time fire detection with higher accuracy in an …