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 …
Machine learning in disaster management: recent developments in methods and applications
Recent years include the world's hottest year, while they have been marked mainly, besides
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …
Deep learning for multigrade brain tumor classification in smart healthcare systems: A prospective survey
Brain tumor is one of the most dangerous cancers in people of all ages, and its grade
recognition is a challenging problem for radiologists in health monitoring and automated …
recognition is a challenging problem for radiologists in health monitoring and automated …
A review of machine learning applications in wildfire science and management
Artificial intelligence has been applied in wildfire science and management since the 1990s,
with early applications including neural networks and expert systems. Since then, the field …
with early applications including neural networks and expert systems. Since then, the field …
Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions
The rapid growth of urban populations worldwide imposes new challenges on citizens' daily
lives, including environmental pollution, public security, road congestion, etc. New …
lives, including environmental pollution, public security, road congestion, etc. New …
Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
socioeconomic loss. The actual damage and loss observed in the recent decades has …
Forest fire and smoke detection using deep learning-based learning without forgetting
Background Forests are an essential natural resource to humankind, providing a myriad of
direct and indirect benefits. Natural disasters like forest fires have a major impact on global …
direct and indirect benefits. Natural disasters like forest fires have a major impact on global …
Multi-grade brain tumor classification using deep CNN with extensive data augmentation
Numerous computer-aided diagnosis (CAD) systems have been recently presented in the
history of medical imaging to assist radiologists about their patients. For full assistance of …
history of medical imaging to assist radiologists about their patients. For full assistance of …
[HTML][HTML] Image fire detection algorithms based on convolutional neural networks
P Li, W Zhao - Case Studies in Thermal Engineering, 2020 - Elsevier
As a new fire detection technology, image fire detection has recently played a crucial role in
reducing fire losses by alarming users early through early fire detection. Image fire detection …
reducing fire losses by alarming users early through early fire detection. Image fire detection …
Serious games in science education: a systematic literature
Teaching science through computer games, simulations, and artificial intelligence (AI) is an
increasingly active research field. To this end, we conducted a systematic literature review …
increasingly active research field. To this end, we conducted a systematic literature review …