Advancements in Machine Learning for Optimal Performance in Flotation Processes: A Review
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 …
valuable mineral particles from waste rock. The efficiency of this process is subjected to the …
Enhancing Road Safety with Convolutional Neural Network Traffic Sign Classification
D Hindarto - Sinkron: jurnal dan penelitian teknik informatika, 2023 - jurnal.polgan.ac.id
Recent computer vision and deep learning breakthroughs have improved road safety by
automatically classifying traffic signs. This research uses CNNs to classify traffic signs to …
automatically classifying traffic signs. This research uses CNNs to classify traffic signs to …
Prediction of Clean Coal Ash Content in Coal Flotation through a Convergent Model Unifying Deep Learning and Likelihood Function, Incorporating Froth Velocity and …
F Lu, H Liu, W Lv - Processes, 2023 - mdpi.com
This study successfully achieved high-precision detection of the clean coal ash content in
the coal froth flotation domain by integrating deep learning with the likelihood function …
the coal froth flotation domain by integrating deep learning with the likelihood function …
Flotation foam image segmentation based on highlight overlap correction and multiple edge constraints
L Yang, C Sun - 2024 - researchsquare.com
Bubble size contains important indicative information, which is closely related to flotation
production conditions and process indicators. However, due to the different sizes of bubbles …
production conditions and process indicators. However, due to the different sizes of bubbles …