AIMC Topic: Metallurgy

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Risk assessment with the fuzzy Fine-Kinney method in a business operating in the metal industry.

International journal of occupational safety and ergonomics : JOSE Feb 11, 2025
Occupational risk assessment involves examining and ranking the risks and hazards in a production or service facility, focusing on workplace health and safety. This study aims to address the deficiencies of traditional methods by applying a fuzzy log...
Humans Risk Assessment Occupational Exposure Occupational Health Safety Management Metallurgy Fuzzy Logic
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Machine vision-based detection of forbidden elements in the high-speed automatic scrap sorting line.

Waste management (New York, N.Y.) Aug 30, 2024
Highly efficient industrial sorting lines require fast and reliable classification methods. Various types of sensors are used to measure the features of an object to determine which output class it belongs to. One technique involves the use of an RGB...
Neural Networks, Computer Machine Learning Algorithms Waste Management Metallurgy Image Processing, Computer-Assisted Copper
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Contribution assessment and accumulation prediction of heavy metals in wheat grain in a smelting-affected area using machine learning methods.

The Science of the total environment Aug 11, 2024
Due to the diverse controlling factors and their uneven spatial distribution, especially atmospheric deposition from smelters, assessing and predicting the accumulation of heavy metals (HM) in crops across smelting-affected areas becomes challenging....
Metals, Heavy Metallurgy Machine Learning Environmental Monitoring Triticum Edible Grain Soil Pollutants
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Predicting noise-induced hearing loss with machine learning: the influence of tinnitus as a predictive factor.

The Journal of laryngology and otology May 9, 2024
OBJECTIVES: This study aimed to determine which machine learning model is most suitable for predicting noise-induced hearing loss and the effect of tinnitus on the models' accuracy.
Occupational Diseases Hearing Loss, Noise-Induced Tinnitus Audiometry, Pure-Tone Metallurgy Noise, Occupational Middle Aged Occupational Exposure Support Vector Machine Predictive Value of Tests Adult Male Humans Female Machine Learning Risk Factors
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Sensor-Based Predictive Maintenance with Reduction of False Alarms-A Case Study in Heavy Industry.

Sensors (Basel, Switzerland) Dec 29, 2021
In this paper, the problem of the identification of undesirable events is discussed. Such events can be poorly represented in the historical data, and it is predominantly impossible to learn from past examples. The discussed issue is considered in th...
Artificial Intelligence Metallurgy
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On-line prediction of ferrous ion concentration in goethite process based on self-adjusting structure RBF neural network.

Neural networks : the official journal of the International Neural Network Society Mar 29, 2019
Outlet ferrous ion concentration is an essential indicator to manipulate the goethite process in the zinc hydrometallurgy plant. However, it cannot be measured on-line, which leads to the delay of this feedback information. In this study, a self-adju...
Metallurgy Neural Networks, Computer Ferrous Compounds Forecasting Minerals Iron Compounds Feedback Algorithms Neurons
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Application of Pythagorean fuzzy AHP and VIKOR methods in occupational health and safety risk assessment: the case of a gun and rifle barrel external surface oxidation and colouring unit.

International journal of occupational safety and ergonomics : JOSE Jul 23, 2018
The field of occupational health and safety (OHS) focuses on reducing occupational accidents to an acceptable level. OHS covers systematic efforts aimed at providing employee health, safety and welfare in the workplace. This study proposes a new appr...
Metallurgy Humans Occupational Health Risk Assessment Weapons Accidents, Occupational Fuzzy Logic
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Prediction of hearing loss among the noise-exposed workers in a steel factory using artificial intelligence approach.

International archives of occupational and environmental health Nov 29, 2014
PURPOSE: Prediction of hearing loss in noisy workplaces is considered to be an important aspect of hearing conservation program. Artificial intelligence, as a new approach, can be used to predict the complex phenomenon such as hearing loss. Using art...
Audiometry Hearing Loss, Noise-Induced Auditory Threshold Male Predictive Value of Tests Steel Metallurgy Occupational Diseases Iran Adult Noise, Occupational Humans Neural Networks, Computer Occupational Exposure Cross-Sectional Studies
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