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Dust Explosion Prevention and Mitigation, Status and Developments in Basic Knowledge and in Practical Application
Published 2009-01-01“…Progress has also been made in other areas, for example, ignition source prevention. The importance of adopting inherently safer process design, by building on firm knowledge in powder science and technology, and of systematic education/training of personnel, is also emphasized.…”
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AI-Enhanced Photovoltaic Power Prediction Under Cross-Continental Dust Events and Air Composition Variability in the Mediterranean Region
Published 2025-07-01“…A new clustering methodology is introduced to classify these inputs and analyze their correlation with PV output, enabling improved feature selection for model training. Importantly, all input parameters are sourced from publicly accessible, internet-based platforms, facilitating wide reproducibility and operational application. …”
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Research on False Alarm Rate Reducing Strategies for Subway Train Fire Alarm System
Published 2025-05-01“…The false alarm rate can be reduced by hardware optimization methods such as adding dust filter devices, adopting dual light source detectors, multi-parameter gas detectors and pyrolysis particle detectors; the rate can also be reduced by optimizing software algorithms (optimization modeling method, automatic adjustment of alarm thresholds, machine self-learning algorithm, etc.). …”
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Outbreak of Q-fever in a Yugoslav army unit in wartime conditions
Published 2002-01-01“…The outbreak occurred due to the entry of the unit into the focus originated by lambing and pasture of infected sheep. The source of the infection was the contaminated dust from the grassland where the soldiers were training, and they were infected by aerogenic way. …”
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Promoción y prevención de enfermedades respiratorias en trabajadores de carpinterías de Juan Atalaya - Cúcuta, Colombia
Published 2023-12-01“…The results indicate that the population experiences respiratory symptoms, such as cough, the common cold, difficulty breathing, and nasal congestion, linked to high exposure to wood dust. Furthermore, workers fail to use personal protective equipment during various processes, and there is a lack of controls for the source, the environment, and the worker. …”
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Construction and Application of Monitoring System for Green Tarpaulin Cover Net in Mega Cities
Published 2025-03-01“…Subsequently, representative samples of tarpaulin cover are selected for annotation, and a training dataset is constructed. This process is crucial because high-quality sample data directly affects the accuracy and generalization capability of subsequent model training. …”
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Low illumination image enhancement algorithm of CycleGAN coal mine based on attention mechanism and Dilated convolution
Published 2024-12-01“…The complex underground environment, filled with a large amount of dust and water vapor, and uneven illumination of artificial light source, leads to problems such as low illumination and loss of detail features in images collected by underground monitoring equipment, which seriously affects the real-time performance of mining safety monitoring equipment, is not good for subsequent computer vision tasks, and it is difficult to collect underground data. …”
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A Sequence-to-Sequence Transformer Model for Satellite Retrieval of Aerosol Optical and Microphysical Parameters from Space
Published 2024-12-01“…Event analyses, including dust and pollution episodes, demonstrate the method’s responsiveness in hotspot regions and events. …”
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Advanced Trans-BiGRU-QA Fusion Model for Atmospheric Mercury Prediction
Published 2024-11-01“…With the deepening of the Industrial Revolution and the rapid development of the chemical industry, the large-scale emissions of corrosive dust and gases from numerous factories have become a significant source of air pollution. …”
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Enhancing space sensor resilience with transfer learning in data-scarce scenarios
Published 2025-01-01“…This paper explores the use of transfer learning (TL) to enhance sensor resilience, specifically addressing the issue of limited data availability. First, pre-trained models are developed using wind sensor data from the Temperature and Wind Sensors for the TWINS instrument (NASA InSight Mission), serving as the source domain for this study. …”
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Occupational respiratory symptoms and associated factors among street sweepers in low- and middle-income countries: A systematic review and meta-analysis.
Published 2025-01-01“…Therefore, it is highly recommended to focus on the provision and proper use of personal protective equipment and to enhance occupational health and safety training.…”
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