AIMC Topic: Smoke

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Capsule neural network and adapted golden search optimizer based forest fire and smoke detection.

Scientific reports Feb 4, 2025
Forest fires represent a major risk to both ecosystems and human health that rising frequency of it exacerbates global warming. This study introduces an innovative methodology for detecting forest fires and smoke using an enhanced capsule neural netw...
Neural Networks, Computer Algorithms Humans Forests Wildfires Smoke Deep Learning Fires
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Multi-level feature fusion networks for smoke recognition in remote sensing imagery.

Neural networks : the official journal of the International Neural Network Society Jan 4, 2025
Smoke is a critical indicator of forest fires, often detectable before flames ignite. Accurate smoke identification in remote sensing images is vital for effective forest fire monitoring within Internet of Things (IoT) systems. However, existing dete...
Smoke Humans Machine Learning Neural Networks, Computer Remote Sensing Technology
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Evaluating Chemical Transport and Machine Learning Models for Wildfire Smoke PM: Implications for Assessment of Health Impacts.

Environmental science & technology Dec 18, 2024
Growing wildfire smoke represents a substantial threat to air quality and human health. However, the impact of wildfire smoke on human health remains imprecisely understood due to uncertainties in both the measurement of exposure of population to wil...
Humans Machine Learning United States Particulate Matter Smoke Wildfires Environmental Monitoring Air Pollutants
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Application of artificial intelligence in quantifying lung deposition dose of black carbon in people with exposure to ambient combustion particles.

Journal of exposure science & environmental epidemiology Oct 17, 2023
BACKGROUND: Understanding lung deposition dose of black carbon is critical to fully reconcile epidemiological evidence of combustion particles induced health effects and inform the development of air quality metrics concerning black carbon. Macrophag...
Environmental Exposure Wildfires Air Pollution Particulate Matter Soot Smoke Middle Aged Lung Particle Size Air Pollutants Carbon Adult Artificial Intelligence Male Algorithms Macrophages Humans Female
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Comment on the robot smoke suction technique.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland Mar 27, 2023
Suction Smoke Robotics Humans Equipment Design
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Development and validation of a deep learning-based laparoscopic system for improving video quality.

International journal of computer assisted radiology and surgery Oct 15, 2022
PURPOSE: A clear surgical field of view is a prerequisite for successful laparoscopic surgery. Surgical smoke, image blur, and lens fogging can affect the clarity of laparoscopic imaging. We aimed to develop a real-time assistance system (namely LVQI...
Humans Retrospective Studies Image Processing, Computer-Assisted Deep Learning Smoke Laparoscopy
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Using Deep Learning with Thermal Imaging for Human Detection in Heavy Smoke Scenarios.

Sensors (Basel, Switzerland) Jul 18, 2022
In this study, we propose using a thermal imaging camera (TIC) with a deep learning model as an intelligent human detection approach during emergency evacuations in a low-visibility smoky fire scenarios. We use low-wavelength infrared (LWIR) images t...
Deep Learning Fires Humans Smoke Firefighters
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Novel surgical method for maintaining clear vision in robot-assisted laparoscopic rectal surgery: robot smoke suction technique-A video vignette.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland Jul 6, 2022
Suction Smoke Laparoscopy Humans Robotic Surgical Procedures Treatment Outcome Robotics
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Endoscopy image enhancement method by generalized imaging defect models based adversarial training.

Physics in medicine and biology Apr 28, 2022
Smoke, uneven lighting, and color deviation are common issues in endoscopic surgery, which have increased the risk of surgery and even lead to failure.In this study, we present a new physics model driven semi-supervised learning framework for high-qu...
Smoke Endoscopy Image Processing, Computer-Assisted Supervised Machine Learning Image Enhancement
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A Robust Fire Detection Model via Convolution Neural Networks for Intelligent Robot Vision Sensing.

Sensors (Basel, Switzerland) Apr 11, 2022
Accurate fire identification can help to control fires. Traditional fire detection methods are mainly based on temperature or smoke detectors. These detectors are susceptible to damage or interference from the outside environment. Meanwhile, most of ...
Smoke Robotics Neural Networks, Computer Fires Algorithms
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