A Convolutional Neural Network Architecture for Auto-Detection of Landslide Photographs to Assess Citizen Science and Volunteered Geographic Information Data Quality

Image-based velocity estimation of rock using Convolutional Neural Networks

(2019) Sadegh Karimpouli et al.   NEURAL NETWORKS

Automated species-level identification of planktic foraminifera using convolutional neural networks, with comparison to human performance

(2019) R. Mitra et al.   MARINE MICROPALEONTOLOGY

VGTrust: measuring trust for volunteered geographic information

(2019) Jeremy Severinsen et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Automatic detection of woody vegetation in repeat landscape photographs using a convolutional neural network

(2019) Ulrike Bayr et al.   Ecological Informatics

Deep learning and its application in geochemical mapping

(2019) Renguang Zuo et al.   EARTH-SCIENCE REVIEWS

Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series

(2019) Hossein Javedani Sadaei et al.   ENERGY

Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China

(2019) Yi Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Automatic detection of passable roads after floods in remote sensed and social media data

(2019) Kashif Ahmad et al.   SIGNAL PROCESSING-IMAGE COMMUNICATION

Predicting the principal strong ground motion parameters: A deep learning approach

(2019) Ali Derakhshani et al.   APPLIED SOFT COMPUTING

A vision-based method for crack detection in gusset plate welded joints of steel bridges using deep convolutional neural networks

(2019) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

Deep neural networks with transfer learning in millet crop images

(2019) Solemane Coulibaly et al.   COMPUTERS IN INDUSTRY

Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure

(2018) G. Asencio–Cortés et al.   COMPUTERS & GEOSCIENCES

Places: A 10 Million Image Database for Scene Recognition

(2018) Bolei Zhou et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Volunteered geographic information quality assessment using trust and reputation modelling in land administration systems in developing countries

(2018) Kealeboga K. Moreri et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India

(2018) Binh Thai Pham et al.   International Journal of Sediment Research

Multi-scale object detection in remote sensing imagery with convolutional neural networks

(2018) Zhipeng Deng et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Long-range terrain perception using convolutional neural networks

(2018) Wei Zhang et al.   NEUROCOMPUTING

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

Micro-seismic event detection and location in underground mines by using Convolutional Neural Networks (CNN) and deep learning

(2018) Linqi Huang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Seeing permeability from images: fast prediction with convolutional neural networks

(2018) Jinlong Wu et al.   Science Bulletin

A CitSci app for landslide data collection

(2018) Sultan Kocaman et al.   Landslides

Flotation froth image recognition with convolutional neural networks

(2018) Y. Fu et al.   MINERALS ENGINEERING

Lithological facies classification using deep convolutional neural network

(2018) Yadigar Imamverdiyev et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

(2018) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)

(2016) Binh Thai Pham et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information

(2016) Linda See et al.   ISPRS International Journal of Geo-Information

Assuring the quality of volunteered geographic information

(2012) Michael F. Goodchild et al.   Spatial Statistics

Statistics for optimal point prediction in natural images

(2011) W. S. Geisler et al.   JOURNAL OF VISION

A new dawn for citizen science

(2009) Jonathan Silvertown   TRENDS IN ECOLOGY & EVOLUTION

An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps

(2008) H.A. Nefeslioglu et al.   ENGINEERING GEOLOGY