Application of machine learning, deep learning and optimization algorithms in geoengineering and geoscience: Comprehensive review and future challenge

Response of Inclined Loaded Pile in Layered Foundation Based on Principle of Minimum Potential Energy

(2022) Qiang Ou et al.   International Journal of Geomechanics

A coupled SPH-DEM-FEM model for fluid-particle-structure interaction and a case study of Wenjia gully debris flow impact estimation

(2021) Chun Liu et al.   Landslides

Machine Learning Models for Secure Data Analytics: A taxonomy and threat model

(2020) Rajesh Gupta et al.   COMPUTER COMMUNICATIONS

Pathways and challenges of the application of artificial intelligence to geohazards modelling

(2020) Abhirup Dikshit et al.   GONDWANA RESEARCH

The 2015 Shenzhen catastrophic landslide in a construction waste dump: analyses of undrained strength and slope stability

(2020) Liang-tong Zhan et al.   Acta Geotechnica

Probabilistic stability analysis of Bazimen landslide with monitored rainfall data and water level fluctuations in Three Gorges Reservoir, China

(2020) Wengang Zhang et al.   Frontiers of Structural and Civil Engineering

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

(2020) Zijie J. Wang et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

Enhancing the security of blockchain-based software defined networking through trust-based traffic fusion and filtration

(2020) Weizhi Meng et al.   Information Fusion

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

How does a cluster of buildings affect landslide mobility: a case study of the Shenzhen landslide

(2019) H. Y. Luo et al.   Landslides

Intelligent prediction of surrounding rock deformation of shallow buried highway tunnel and its engineering application

(2019) Shaoshuai Shi et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

On the evaluation of soil erosion models: Are we doing enough?

(2019) Pedro V.G. Batista et al.   EARTH-SCIENCE REVIEWS

Debris Flow Susceptibility Mapping Using Machine-Learning Techniques in Shigatse Area, China

(2019) Yonghong Zhang et al.   Remote Sensing

The Whale Optimization Algorithm

(2016) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Optimizing connection weights in neural networks using the whale optimization algorithm

(2016) Ibrahim Aljarah et al.   SOFT COMPUTING

Deep learning

(2015) Yann LeCun et al.   NATURE

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Development of artificial neural networks and multiple regression models for the NATM tunnelling-induced settlement in Niayesh subway tunnel, Tehran

(2014) S. D. Mohammadi et al.   Bulletin of Engineering Geology and the Environment

An effective hybrid cuckoo search and genetic algorithm for constrained engineering design optimization

(2013) G. Kanagaraj et al.   ENGINEERING OPTIMIZATION

Solving structural engineering design optimization problems using an artificial bee colony algorithm

(2013) Harish Garg   Journal of Industrial and Management Optimization

Estimation of optimal machining control parameters using artificial bee colony

(2013) Norfadzlan Yusup et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Water pipe condition assessment: a hierarchical beta process approach for sparse incident data

(2013) Zhidong Li et al.   MACHINE LEARNING

Assessment of debris flow hazards using a Bayesian Network

(2012) Wan-jie Liang et al.   GEOMORPHOLOGY

Subsidence estimation utilizing various approaches – A case study: Tehran No. 3 subway line

(2012) Abouzar Darabi et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect

(2011) Xin-She Yang et al.   APPLIED SOFT COMPUTING

Mixed variable structural optimization using Firefly Algorithm

(2011) Amir Hossein Gandomi et al.   COMPUTERS & STRUCTURES

Software survey: VOSviewer, a computer program for bibliometric mapping

(2009) Nees Jan van Eck et al.   SCIENTOMETRICS