[HTML][HTML] The minerals industry in the era of digital transition: An energy-efficient and environmentally conscious approach
The concept of the 4th industrial revolution is becoming a strategic determinant of
sustainability, success and competitiveness in the modern mining sector. The importance of …
sustainability, success and competitiveness in the modern mining sector. The importance of …
Deep learning in image segmentation for mineral production: A review
Y Liu, X Wang, Z Zhang, F Deng - Computers & Geosciences, 2023 - Elsevier
Mineral image segmentation is widely used in mining, sorting, exploration, composition
analysis, and other production works. The burgeoning field of deep learning provides …
analysis, and other production works. The burgeoning field of deep learning provides …
Smart contract privacy protection using AI in cyber-physical systems: tools, techniques and challenges
Applications of Blockchain (BC) technology and Cyber-Physical Systems (CPS) are
increasing exponentially. However, framing resilient and correct smart contracts (SCs) for …
increasing exponentially. However, framing resilient and correct smart contracts (SCs) for …
Ore image classification based on small deep learning model: Evaluation and optimization of model depth, model structure and data size
Y Liu, Z Zhang, X Liu, L Wang, X **
The description of rocks is one of the most time-consuming tasks in the everyday work of a
geologist, especially when very accurate description is required. We here present a method …
geologist, especially when very accurate description is required. We here present a method …
Point-of-care pathogen testing using photonic crystals and machine vision for diagnosis of urinary tract infections
H Liu, Z Li, R Shen, Z Li, Y Yang, Q Yuan - Nano letters, 2021 - ACS Publications
Urinary tract infections (UTIs) caused by bacterial invasion can lead to life-threatening
complications, posing a significant health threat to more than 150 million people worldwide …
complications, posing a significant health threat to more than 150 million people worldwide …
MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description
S Nesteruk, J Agafonova, I Pavlov, M Gerasimov… - Computers & …, 2023 - Elsevier
Mineral image recognition is a challenging computer vision problem. Without external tools,
even a human expert cannot distinguish some mineral species accurately. Previous …
even a human expert cannot distinguish some mineral species accurately. Previous …
Machine learning and data augmentation approach for identification of rare earth element potential in Indiana Coals, USA
Rare earth elements and yttrium (REYs) are critical elements and valuable commodities due
to their limited availability and high demand in a wide range of applications and especially in …
to their limited availability and high demand in a wide range of applications and especially in …
Deep learning-based image classification for online multi-coal and multi-class sorting
Y Liu, Z Zhang, X Liu, L Wang, X **a - Computers & Geosciences, 2021 - Elsevier
Deep learning is an effective way to improve the classification accuracy of coal images for
the machine vision-based coal sorting. However, the related research on deep learning …
the machine vision-based coal sorting. However, the related research on deep learning …
Automatic segmentation of TBM muck images via a deep-learning approach to estimate the size and shape of rock chips
X Zhou, Q Gong, Y Liu, L Yin - Automation in Construction, 2021 - Elsevier
Real-time muck analysis is of great importance for assisting tunnel boring machines (TBMs)
in intelligent tunneling. Typically, muck images are characterized by low contrast, large …
in intelligent tunneling. Typically, muck images are characterized by low contrast, large …