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[HTML][HTML] Reuse and mechanochemical processing of ore dressing tailings used for extracting Pb and Zn
VI Golik, RV Klyuev, NV Martyushev, VV Kondratiev… - Materials, 2023 - mdpi.com
The increasing accumulation of rock waste obtained due to ore processing and its
environmental impacts, such as acid mine drainage and elevated concentrations of heavy …
environmental impacts, such as acid mine drainage and elevated concentrations of heavy …
Breast cancer diagnosis from histopathology images using deep neural network and XGBoost
Abstract Background and Objective: Globally, breast cancer is one of the most common
diseases among women. As a result of the disadvantages of manual analysis, computer …
diseases among women. As a result of the disadvantages of manual analysis, computer …
[HTML][HTML] Recent applications of Explainable AI (XAI): A systematic literature review
This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
Identifying interactive effects of spatial drivers in soil heavy metal pollutants using interpretable machine learning models
D Duan, P Wang, X Rao, J Zhong, M **ao… - Science of The Total …, 2024 - Elsevier
The accurate identification of spatial drivers is crucial for effectively managing soil heavy
metals (SHM). However, understanding the complex and diverse spatial drivers of SHM and …
metals (SHM). However, understanding the complex and diverse spatial drivers of SHM and …
[HTML][HTML] Novel rockburst prediction criterion with enhanced explainability employing CatBoost and nature-inspired metaheuristic technique
Rockburst is a major challenge to hard rock engineering at great depth. Accurate and timely
assessment of rockburst risk can avoid unnecessary casualties and property losses. Despite …
assessment of rockburst risk can avoid unnecessary casualties and property losses. Despite …
Guaranteeing correctness in Black-Box Machine Learning: A Fusion of Explainable AI and formal methods for Healthcare decision-making
In recent years, Explainable Artificial Intelligence (XAI) has attracted considerable attention
from the research community, primarily focusing on elucidating the opaque decision-making …
from the research community, primarily focusing on elucidating the opaque decision-making …
[HTML][HTML] Detection of Monkeypox cases based on symptoms using XGBoost and Shapley additive explanations methods
The monkeypox virus poses a novel public health risk that might quickly escalate into a
worldwide epidemic. Machine learning (ML) has recently shown much promise in …
worldwide epidemic. Machine learning (ML) has recently shown much promise in …
[HTML][HTML] CatBoost-SHAP for modeling industrial operational flotation variables–A “conscious lab” approach
Flotation separation is the most important upgrading critical raw material technique.
Measuring interactions within flotation variables and modeling their metallurgical responses …
Measuring interactions within flotation variables and modeling their metallurgical responses …
[HTML][HTML] Fast prediction and control of air core in hydrocyclone by machine learning to stabilize operations
Operation stability significantly impacts hydrocyclone separation performance during
wastewater treatment, sludge processing, and microplastic removal from water. The air core …
wastewater treatment, sludge processing, and microplastic removal from water. The air core …
Diagnosis of parkinson's disease based on voice signals using SHAP and hard voting ensemble method
Parkinson's disease (PD) is the second most common progressive neurological condition
after Alzheimer's. The significant number of individuals afflicted with this illness makes it …
after Alzheimer's. The significant number of individuals afflicted with this illness makes it …