[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 …

Breast cancer diagnosis from histopathology images using deep neural network and XGBoost

A Maleki, M Raahemi, H Nasiri - Biomedical Signal Processing and Control, 2023 - Elsevier
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 …

[HTML][HTML] Recent applications of Explainable AI (XAI): A systematic literature review

M Saarela, V Podgorelec - Applied Sciences, 2024 - mdpi.com
This systematic literature review employs the Preferred Reporting Items for Systematic
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 …

[HTML][HTML] Novel rockburst prediction criterion with enhanced explainability employing CatBoost and nature-inspired metaheuristic technique

Y Qiu, J Zhou - Underground Space, 2024 - Elsevier
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 …

Guaranteeing correctness in Black-Box Machine Learning: A Fusion of Explainable AI and formal methods for Healthcare decision-making

N Khan, M Nauman, AS Almadhor, N Akhtar… - IEEE …, 2024 - ieeexplore.ieee.org
In recent years, Explainable Artificial Intelligence (XAI) has attracted considerable attention
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

A Farzipour, R Elmi, H Nasiri - Diagnostics, 2023 - mdpi.com
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 …

[HTML][HTML] CatBoost-SHAP for modeling industrial operational flotation variables–A “conscious lab” approach

SC Chelgani, A Homafar, H Nasiri - Minerals Engineering, 2024 - Elsevier
Flotation separation is the most important upgrading critical raw material technique.
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

Q Ye, S Kuang, P Duan, R Zou, A Yu - Journal of Environmental Chemical …, 2024 - Elsevier
Operation stability significantly impacts hydrocyclone separation performance during
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

P Ghaheri, H Nasiri, A Shateri… - Computer methods in …, 2024 - Taylor & Francis
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 …