Prediction Model of Coal and Gas Outburst Based on Rough Set-Unascertained Measure Theory

Gong, Wenqian

doi:10.5614/j.eng.technol.sci.2018.50.6.2

Cited by 4 publications

(2 citation statements)

References 17 publications

(22 reference statements)

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“…Various compacted ANN models were created and tested. Table 2 shows the obtained experimental results [23,24]:…”

Section: Resultsmentioning

confidence: 99%

Performance Evaluation of ANN Models for Prediction

Khrisat¹,

Alqadi²

2023

ATAIML

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One of the biggest problems that humans are faced with today is pollution and climate change. Pollution is not a new phenomenon and remains a leading cause of diseases and deaths. Mining, industrialization, exploration and urbanization caused global pollution, whose burdens are shared by developed and undeveloped countries alike. Awareness and stricter laws in the developed countries have contributed to environmental protection. Although all countries have paid attention to pollution, the impact and severity of its long-term consequences are being felt. There is a cause-and-effect link between the pollution of air, water and soil and the environment. This research aimed to prove that the main function of the philosophy of science is to have a functional understanding of knowledge, which views knowledge as a tool for prediction. Prediction is the function or mission of science or the goal that must be achieved if the scientific project is successful. In other words, prediction is the final harvest of description and interpretation. In addition, science is primarily concerned with the prediction of events that have occurred in the universe. A mature prediction is what science provides to validate scientific models. This paper introduced the concepts of using machine learning techniques to enhance the prediction process results. Pollution data set and the negative effects of polluted air data were used. We built, trained and tested various models in order to find the optimal model, which could enhance the results of the prediction process.

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“…Various compacted ANN models were created and tested. Table 2 shows the obtained experimental results [23,24]:…”

Section: Resultsmentioning

confidence: 99%

Performance Evaluation of ANN Models for Prediction

Khrisat¹,

Alqadi²

2023

ATAIML

View full text Add to dashboard Cite

show abstract

“…Padded matrix PA for each color, the padding factor must equal the window used for filtering, here we use PF equal [24,25] to allow us to create a window of size 15 by 15.…”

Section: The Proposed Filtermentioning

confidence: 99%

Enhanced Average Filtering Technique for Mitigating Salt and Pepper Noise in High-Resolution Color Images

Khrisat¹

2023

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Digital color images play a crucial role in various critical applications, necessitating the development of effective noise reduction techniques to preserve image quality and characteristics. Salt and pepper noise, in particular, can significantly degrade digital image quality, with the extent of the impact contingent upon image size and noise ratio. Existing methods reliant on arithmetic mean and median filtering have proven inadequate for addressing high noise ratios. In this study, we propose and implement a novel average filter-an enhancement over traditional mean filters-to efficiently mitigate salt and pepper noise, specifically in cases with high noise ratios. Our results demonstrate the superior performance of the proposed filter in terms of preserving image quality and reducing noise, as evidenced by improved maximum auto-correlation factors and peak signal-to-noise ratios.

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Risk assessment of coal and gas outburst in driving face based on finite interval cloud model

Zhang

Wang

et al. 2021

Nat Hazards

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Prediction Model of Coal and Gas Outburst Based on Rough Set-Unascertained Measure Theory

Cited by 4 publications

References 17 publications

Performance Evaluation of ANN Models for Prediction

Performance Evaluation of ANN Models for Prediction

Enhanced Average Filtering Technique for Mitigating Salt and Pepper Noise in High-Resolution Color Images

Risk assessment of coal and gas outburst in driving face based on finite interval cloud model

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