Review on the artificial intelligence-based methods in landslide detection and susceptibility assessment: Current progress and future directions
December 2024
Landslides pose significant risks to human life, property, and the environment in mountainous regions. Effective detection and susceptibility assessment are essential for mitigating these hazards. Recent...
Data-driven digital twin-based smart tunnel maintenance system
December 2025
Tunnel facility management (FM) is crucial for ensuring safety, efficiency, and resilience of tunnel infrastructure. Current FM practices, such as reactive and preventive maintenance, have limitations...
The rise of deep learning: AI and engineering applications under the spotlight of the 2024 Nobel prize
March 2025
The rise of deep learning has brought about transformative advancements in both scientific research and engineering applications. The 2024 Nobel Prizes, particularly in Physics and Chemistry, highlighted...
A bio-inspired artificial intelligence framework leveraging remote sensing for groundwater storage modeling in climate-stressed regions
March 2026
This study presents an AI-driven framework for predicting groundwater storage (GWS) in the arid to semi-arid regions of Agdz and Zagora in southern Morocco, where sustainable water resource management...
Machine learning techniques for soil moisture prediction in arid and semi-arid regions: A case study of Morocco
December 2025
Soil moisture (SM) is a critical variable in hydrological, agricultural, and climatic systems, yet its accurate estimation remains challenging, particularly in arid and semi-arid environments where...
Generalizable digital rock image segmentation under limited data with the segment anything model
March 2026
Accurate segmentation of digital rock images is essential for characterizing pore–matrix systems and predicting petrophysical properties. However, the diversity of rock textures across different lithologies...
The prediction and characterization of concrete properties by using the machine learning algorithms: A state-of-the-art review
December 2025
Concrete strength mainly depends on the hydration between water and cement and how the resulting calcium silicate hydrate (C-S-H) crystals binds the other concrete components together. Traditional empirical...
Comparative evaluation of threshold-based and CNN-based segmentation methods for multi-modal digital images of geotechnical materials
March 2026
This study systematically evaluates the performance of 15 conventional global single-threshold segmentation algorithms and three representative convolutional neural network (CNN) models across multi-modal...
Quantitative morphological analysis of rock particles on laser scanner data using deep learning
March 2026
While size distribution has traditionally been the dominant metric in rock fragmentation, studies have shown that both size and shape characteristics are influential in determining energy consumption,...
GeoPredict-LLM: Intelligent tunnel advanced geological prediction by reprogramming large language models
December 2024
With the improvement of multisource information sensing and data acquisition capabilities inside tunnels, the availability of multimodal data in tunnel engineering has significantly increased. However,...
Handling missing data in large-scale TBM datasets: Methods, strategies, and applications
September 2025
Substantial advancements have been achieved in Tunnel Boring Machine (TBM) technology and monitoring systems, yet the presence of missing data impedes accurate analysis and interpretation of TBM monitoring...
Intelligent mapping of ecological restoration elements in abandoned open-pit mines based on UAV remote sensing
December 2025
The ecological degradation caused by open-pit activities has become a major challenge in resource-rich regions of China. Traditional methods for identifying ecological restoration elements in abandoned...
A review of intelligent technologies for underground construction and infrastructure maintenance
March 2025
Scientific and technological advancements are rapidly transforming underground engineering, shifting from labor-intensive, time-consuming methods to automated, real-time systems. This timely and comprehensive...
Efficient generation of digital rock CT images using LoRA-enhanced stable diffusion models
June 2025
Digital rock analysis (DRA) is fundamental for geo-energy research, enabling the characterisation of microstructures for applications like hydrocarbon recovery, carbon storage, and groundwater modelling....
Physics-informed neural network optimized by particle swarm algorithm for accurate prediction of blast-induced peak particle velocity
September 2025
Accurately forecasting peak particle velocity (PPV) during blasting operations plays a crucial role in mitigating vibration-related hazards and preventing economic losses. This research introduces an...
A physics-informed framework for earthquake-induced landslide hazard assessment considering faulting style and ground motion directionality
June 2026
Accurate assessment of earthquake-induced landslide (EIL) hazard remains challenging because landslide occurrence is jointly controlled by faulting style, pulse-like ground motions, ground motion directionality,...
Overview of discontinuous deformation analysis and its prospects for intelligent modelling
December 2024
Since its proposal in 1985, the Discontinuous Deformation Analysis (DDA) has developed into a powerful tool for simulating the mechanical behaviour of rock masses and other discontinuous systems and...
Machine learning and remote sensing for modeling groundwater storage variability in semi-arid regions
September 2025
This study investigates the prediction of groundwater Storage in the Rabat-Sale-Kenitra region under climate change conditions using advanced machine learning models. A comprehensive dataset encompassing...
Landslide risk assessment of Guangdong expressway network using random forest and complex network topological analysis
June 2026
Expressways constitute essential lifeline infrastructure supporting regional interconnection and optimizing social spatial patterns. However, geohazards including landslides severely threaten expressway...
Intelligent prediction of grouting in fractured rock masses
June 2025
Curtain grouting projects are characterized by their large scale and complexity, presenting significant challenges for real-time prediction of grout penetration using traditional methods. This study...
Urban geological information platform for smart city construction: A shift from public service to integration with urban engineering
June 2025
Urban geological information platforms have traditionally focused on static data provision for public service, constrained by funding and limited engagement with engineering applications. This study...
Advanced hybrid machine learning models combined with petrographic analysis for comprehensive durability assessment of rock construction materials
December 2025
Durable aggregates are essential for the stability and longevity of construction projects, and the Los Angeles Abrasion (LAA) value is a widely used indicator of aggregate durability. However, direct...
Ada-attention mechanism for intelligent parameter optimization in TBM rock fragmentation: A deep learning approach
December 2025
Tunnel boring machine (TBM) rock breaking parameter optimization is a technical challenge in underground engineering. Traditional numerical simulation methods have limitations in computational efficiency...
Landslide risk prediction in near-fault areas based on 3D ground motion simulation
June 2026
Seismic landslide risk assessment in near-fault areas requires highly reliable ground motion input data. This study takes the 2016 Kumamoto, Japan, Mw 7.1 earthquake as a case study and proposes an...
Research on road crack classification based on ResUNet semantic segmentation and projection features
June 2026
Pavement cracks are one of the most common types of road distresses, making their identification and classification essential for intelligent road inspection and maintenance decision-making. Nevertheless,...
