Advancements in Machine Learning for Optimal Performance in Flotation Processes: A Review

A Szmigiel, DB Apel, K Skrzypkowski, L Wojtecki, Y Pu - Minerals, 2024 - mdpi.com
Flotation stands out as a successful and extensively employed method for separating
valuable mineral particles from waste rock. The efficiency of this process is subjected to the …

Reinforcement Learning-Based Load Balancing with Large Language Models and Edge Intelligence for Dynamic Cloud Environments

B Desai, K Patil - Journal of Innovative Technologies, 2023 - academicpinnacle.com
Traditional load balancers in cloud environments face significant challenges in managing
traffic spikes, leading to increased latency and potential security vulnerabilities. This paper …

[HTML][HTML] Deep Ensemble Learning-Based Sensor for Flotation Froth Image Recognition

X Zhou, Y He - Sensors, 2024 - mdpi.com
Froth flotation is a widespread and important method for mineral separation, significantly
influencing the purity and quality of extracted minerals. Traditionally, workers need to control …

Data-driven system for intelligent monitoring and optimization of froth flotation circuits using Artificial Neural Networks and Genetic Algorithms

O Hasidi, MA El Alaoui-Chrifi, R Chahid… - Journal of Process …, 2024 - Elsevier
In minerals processing, the froth flotation is one of the widely used process that separates
valuable mineral components from their associated gangue materials. The efficiency of this …

Study on Prediction of Zinc Grade by Transformer Model with De-Stationary Mechanism

C Peng, L Luo, H Luo, Z Tang - Minerals, 2024 - mdpi.com
At present, in the mineral flotation process, flotation data are easily influenced by various
factors, resulting in non-stationary time series data, which lead to overfitting of prediction …

Digital twin of minerals processing operations for an advanced monitoring and supervision: froth flotation process case study

O Hasidi, EH Abdelwahed, MA El Alaoui-Chrifi… - … International Journal of …, 2024 - Springer
In the dynamic landscape of modern manufacturing, the pursuit of efficiency, reliability, and
optimal performance has prompted the integration of cutting-edge technologies. Among …

A multiscale network for deblurring coal slurry foam images

Y Wang, X Huang, H Shang, J Zhang, Z Cao - Signal, Image and Video …, 2024 - Springer
Deblurring coal slurry foam images is critical for coal slurry flotation condition identification.
To improve the quality of images acquired in industrial scenarios of flotation production and …

Advanced Spatio-Temporal Froth Analysis Using Smart Soft Sensors in Mineral Processing

A Bendaouia, EH Abdelwahed, S Qassimi… - SN Computer …, 2024 - Springer
In the transformative field of mineral processing, the need for innovative technologies to
overcome inherent difficulties and a critical shortage of high-quality data is an acute …

Real-time Machine Learning: Algorithms and Applications in Stream Processing

A Bello, F Ibrahim - Journal of Innovative Technologies, 2024 - academicpinnacle.com
Real-time machine learning (RTML) has gained increasing importance in various domains,
enabling timely insights and decision-making from streaming data. This paper provides an …