A high-accuracy deformable model for human face mask detection

X Gao, M Nguyen, WQ Yan - Pacific-Rim Symposium on Image and Video …, 2023 - Springer
Human face mask detection leverages computer vision technology to discern whether
individuals in images or videos are wearing masks. Ensuring proper mask usage is crucial …

Fire Detection and Verification using Convolutional Neural Networks, Masked Autoencoder and Transfer Learning

ZA Almoussawi, R Khalid, ZS Obaid… - Majlesi Journal of …, 2022 - mjee.isfahan.iau.ir
Wildfire detection is a time-critical application since it can be challenging to identify the
source of ignition in a short amount of time, which frequently causes the intensity of fire …

Small Target Forest Fire Recognition Method based on Deep Learning

M Luo, J Huang, X Sun, Z Yu… - 2023 IEEE 3rd …, 2023 - ieeexplore.ieee.org
Due to the small size of the fire target in the early stage of the forest fire, the model has the
problem of missing detection of the small target forest fire. This paper proposes a forest fire …

Research on Metallurgical Saw Blade Surface Defect Detection Algorithm Based on SC-YOLOv5

L Meng, X Cui, R Liu, Z Zheng, H Shao, J Liu, Y Peng… - Processes, 2023 - mdpi.com
Under the background of intelligent manufacturing, in order to solve the complex problems
of manual detection of metallurgical saw blade defects in enterprises, such as real-time …

Dehazing Model of Extra-high Voltage Converter Station based on Two-stage Attention

L Rui, Z Jiaqing, H Yang - IEEE Access, 2023 - ieeexplore.ieee.org
Fire detection is an important technology to reliably guarantee the safety of power
transmission scenarios. An effective fire detection model can help fire-fighting robots be …

Research on Marine Garbage Detection Based on Improved Yolov5 Model

C Cai, S Gu - Journal of Physics: Conference Series, 2022 - iopscience.iop.org
The tidal movement of the ocean carries garbage to the shore. The garbage needs to be
dealt with in time, otherwise, the pollution of the garbage to the environment will become …

Research and implementation of forest fire detection algorithm improvement

X Zhou, C Wang - … Journal of Advanced Network, Monitoring and …, 2023 - sciendo.com
To overcome low efficiency and accuracy of existing forest fire detection algorithms, this
paper proposes a network model to enhance the real-time and robustness of detection. This …

Development and implementation of YOLOV8-based model for human and animal detection during forest fires

MQF Alsamurai - 2023 - openaccess.altinbas.edu.tr
For the biosphere to be protected, forests are a necessity everywhere in the world. Forest
fires are one of the major risks to life in many parts of the world; they put the environment …

Forest Fire Detection using Convolutional Neural Network Model

S Sah, S Prakash, S Meena - 2023 IEEE 8th International …, 2023 - ieeexplore.ieee.org
Everyone recalls the destruction brought on by the Australian forest fires in 2019. Even
though there isn't much we can do to battle forest fires on our own, we can always rely on …

[PDF][PDF] Investigating the Relationship between the Influencing Fire Factors and Forest Fire Occurrence in the Districts of Rompin, Pekan, and Kuantan in the State of …

YJ Chew, SY Ooi, YH Pang, ZY Lim - International Journal on …, 2023 - researchgate.net
Forest fires pose a significant threat to ecosystems and human livelihoods. Understanding
the role of climatic factors in fire occurrence is crucial for effective fire management and …