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 …
A comprehensive survey of cybersecurity threats, attacks, and effective countermeasures in Industrial Internet of things
The Industrial Internet of Things (IIoT) ecosystem faces increased risks and vulnerabilities
due to adopting Industry 4.0 standards. Integrating data from various places and converging …
due to adopting Industry 4.0 standards. Integrating data from various places and converging …
An effective attention-based CNN model for fire detection in adverse weather conditions
Worldwide, fire disasters cause social, economic, and environmental damage, so their early
detection and instant response is crucial for saving lives and property, which is possible via …
detection and instant response is crucial for saving lives and property, which is possible via …
Enhancing real-time fire detection: an effective multi-attention network and a fire benchmark
Over the past decades, fire has been considered one of the most serious natural disasters
because of its devastating nature, rapid spread, and high impact on the ecology, economy …
because of its devastating nature, rapid spread, and high impact on the ecology, economy …
Combining the transformer and convolution for effective brain tumor classification using MRI images
In the world, brain tumor (BT) is considered the major cause of death related to cancer,
which requires early and accurate detection for patient survival. In the early detection of BT …
which requires early and accurate detection for patient survival. In the early detection of BT …
Tumor localization and classification from MRI of brain using deep convolution neural network and Salp swarm algorithm
Early diagnosis of brain tumors is crucial for treatment planning and increasing the survival
rates of infected patients. In fact, brain tumors exist in a range of different forms, sizes, and …
rates of infected patients. In fact, brain tumors exist in a range of different forms, sizes, and …
Solar power prediction using dual stream CNN-LSTM architecture
The integration of solar energy with a power system brings great economic and
environmental benefits. However, the high penetration of solar power is challenging due to …
environmental benefits. However, the high penetration of solar power is challenging due to …
Deep Learning‐Based Wildfire Image Detection and Classification Systems for Controlling Biomass
Forests are essential natural resources that directly impact the ecosystem. However, the
rising frequency of forest fires due to natural and artificial climate change has become a …
rising frequency of forest fires due to natural and artificial climate change has become a …
Mitigating the risks of malware attacks with deep Learning techniques
Malware has become increasingly prevalent in recent years, endangering people,
businesses, and digital assets worldwide. Despite the numerous techniques and …
businesses, and digital assets worldwide. Despite the numerous techniques and …
An IoT enable anomaly detection system for smart city surveillance
Since the advent of visual sensors, smart cities have generated massive surveillance video
data, which can be intelligently inspected to detect anomalies. Computer vision-based …
data, which can be intelligently inspected to detect anomalies. Computer vision-based …