Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …

Artificial intelligence (AI) technology has significant potential in Earth sciences, particularly in
mineral identification for industrial exploration, geological mapping, and archaeological …

With the rapid growth of aerial image quantity and quality, the performance of aerial scene
classifiers based on deep learning models has also achieved tremendous success …

Accurate lithology identification from outcrop surfaces is crucial for interpreting geological
3D data. However, challenges arise due to factors such as severe weathering and …

In recent years, deep learning (DL)-based fault diagnosis methods have witnessed
significant advancements and successful applications in engineering practice. However, the …

Abstract Recent advancements in Artificial Intelligence (AI), particularly deep learning, have
significantly improved lithology identification in reservoir exploration by leveraging …

Characteristics of interface between rock layers significantly affect the stability of the support
structure in underground excavation. However, there is a lack of in-situ test to probe …

Lithology identification using well logging data is a critical technology in energy exploration.
Traditional time-domain methods are limited by observational constraints, making it difficult …

This study presents a novel lithological analysis method that combines optical thin-section
analysis with intelligent algorithms. The method utilizes mineral composition data and two …

Target detection from UAV perspective has been a very hot task in recent years. Due to the
flying height of the UAV, the detection targets in the photographs are dense and small in …