Challenges and opportunities of deep learning-based process fault detection and diagnosis: a review
J Yu, Y Zhang - Neural Computing and Applications, 2023 - Springer
Process fault detection and diagnosis (FDD) is a predominant task to ensure product quality
and process reliability in modern industrial systems. Those traditional FDD techniques are …
and process reliability in modern industrial systems. Those traditional FDD techniques are …
A review of critical fire event library for buildings and safety framework for smart firefighting
While occupants are evacuating from the fire scene, firefighters are entering life-threatening
environments, exposed to hot and toxic fire smoke and risks of structural failures or …
environments, exposed to hot and toxic fire smoke and risks of structural failures or …
Predicting transient building fire based on external smoke images and deep learning
A real-time evaluation of fire severity inside a building could facilitate decision-making in
firefighting and rescue operations. This work explores the real-time prediction of transient …
firefighting and rescue operations. This work explores the real-time prediction of transient …
To ensure the safety of storage: Enhancing accuracy of fire detection in warehouses with deep learning models
Q Zhang, Y Tian, J Chen, X Zhang, Z Qi - Process Safety and …, 2024 - Elsevier
Warehouses are important places with storage functions in process units, containing many
flammable and explosive materials. Nevertheless, fire protection systems often fail to provide …
flammable and explosive materials. Nevertheless, fire protection systems often fail to provide …
Unsupervised haze removal for aerial imagery based on asymmetric contrastive cyclegan
X He, W Ji, J Xie - IEEE Access, 2022 - ieeexplore.ieee.org
Aerial image dehazing is an important preprocessing step, since haze extremely degrades
the imaging quality and affects subsequent the applications of aerial imagery. Most current …
the imaging quality and affects subsequent the applications of aerial imagery. Most current …
Smart tunnel fire safety management by sensor network and artificial intelligence
Tunnels have played an essential role in modern transportation systems since the mid-20th
century, owing to their high utility and flexibility in mountainous areas and their effectiveness …
century, owing to their high utility and flexibility in mountainous areas and their effectiveness …
UAV-Rain1k: A Benchmark for Raindrop Removal from UAV Aerial Imagery
Raindrops adhering to the lens of UAVs can obstruct visibility of the background scene and
degrade image quality. Despite recent progress in image deraining methods and datasets …
degrade image quality. Despite recent progress in image deraining methods and datasets …
Automatic estimation of post-fire compressive strength reduction of masonry structures using deep convolutional neural network
A deep learning-based image processing study was carried out to predict the post-fire safety
of historical masonry structures. For this purpose, andesite stone and lime-based mortar …
of historical masonry structures. For this purpose, andesite stone and lime-based mortar …
Multi-stages de-smoking model based on CycleGAN for surgical de-smoking
X Su, Q Wu - International Journal of Machine Learning and …, 2023 - Springer
Smoke generated during laparoscopic surgery blocks the doctor's sight and degrades the
quality of the images severely; thus, surgical de-smoking is a crucial task during …
quality of the images severely; thus, surgical de-smoking is a crucial task during …
Special Issue on “Smart Systems in Fire Engineering”
With the rise of transformative technologies: such as artificial intelligence (AI), Internet-of-
Things (IoT), robotics, sensors etc., the field of fire engineering and safety is embracing a …
Things (IoT), robotics, sensors etc., the field of fire engineering and safety is embracing a …