Accurate and Fast Classification of Natural Disasters using CNN-LSTM and Inference Acceleration
N Sze Yang Tan, ML Tham, S Yee Chua… - … Software and Systems, 2024 - hrcak.srce.hr
Sažetak Catastrophic occurrences induced by disasters often lead to fatalities, extensive
damage, and societal disruptions. In pursuit of realizing disaster-resilient smart cities, video …
damage, and societal disruptions. In pursuit of realizing disaster-resilient smart cities, video …
Efficient Device-Edge Inference for Disaster Classification
Image classification can learn useful insights from crisis incidents and is gaining popularity
in the field of disaster management. This is fueled by the recent advances in computer vision …
in the field of disaster management. This is fueled by the recent advances in computer vision …
Transfer learning approach for recognizing natural disasters video
VB Gadhavi, S Degadwala… - 2022 Second International …, 2022 - ieeexplore.ieee.org
Natural disasters are uncontrolled phenomena that happen every year and cause severe
loss of life, property, and environmental damage. Transfer Learning-based real-time …
loss of life, property, and environmental damage. Transfer Learning-based real-time …
[PDF][PDF] Integrating multiple deep learning models to classify disaster scene videos
It is well-known that the trend of increasing global natural disasters of natural disasters
globally, accompanied by increasing loss of life and property, shows no signs of halting. The …
globally, accompanied by increasing loss of life and property, shows no signs of halting. The …
A Benchmark and Investigation of Deep-Learning-Based Techniques for Detecting Natural Disasters in Aerial Images
Rapid emergency response and early detection of hazards caused by natural disasters are
critical to preserving the lives of those in danger. Deep learning can aid emergency …
critical to preserving the lives of those in danger. Deep learning can aid emergency …
Image Classification of Natural Disasters Using Different Deep Learning Models
K Abraham, M Abdelwahab… - 2022 10th International …, 2022 - ieeexplore.ieee.org
Natural disasters continue to affect the world through wildfires, cyclones, earthquakes, and
floods. The advent of photography has provided us with valuable images of how disasters …
floods. The advent of photography has provided us with valuable images of how disasters …
Train and deploy an image classifier for disaster response
J Mao, K Harris, NR Chang… - 2020 IEEE High …, 2020 - ieeexplore.ieee.org
With Deep Learning Image Classification becoming more powerful each year, it is apparent
that its introduction to disaster response will increase the efficiency that responders can work …
that its introduction to disaster response will increase the efficiency that responders can work …
Efficient CNN-based disaster events classification using UAV-aided images for emergency response application
Natural disasters can be unpredictable and catastrophic. Even after the event, the
repercussions are prolonged due to the incompetence of disaster management strategies …
repercussions are prolonged due to the incompetence of disaster management strategies …
A New Efficient-Attention Based Disaster Classification for Emergency Monitoring
I Aydin, Y Karabulut - 2024 28th International Conference on …, 2024 - ieeexplore.ieee.org
Natural disasters such as earthquakes, floods and storms have increased today due to
climate change. Since infrastructure problems often occur in places where natural disasters …
climate change. Since infrastructure problems often occur in places where natural disasters …
Convolutional neural network-based disaster assessment using unmanned aerial vehicles
MG Bocanegra, RJ Haddad - SoutheastCon 2021, 2021 - ieeexplore.ieee.org
Natural disasters are recurrent weather phenomena whose occurrence has increased
worldwide in the past few decades. These disasters cause devastating effects on …
worldwide in the past few decades. These disasters cause devastating effects on …