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Spatial Data and Artificial Intelligence
Towards a Multi-agents Model for Automatic Big Data Processing to Support Urban planning
Geospatial Forecasting and Social Media Exploration Based on Sentiment Analysis: Application to Flood Forecasting
Deep Convolution Neural Network for Automated Method of Road Extraction on Aerial Imagery
Enhancing the Management of Traffic Sequence Following Departure Trajectories
A Multiagent and Machine Learning based Intrusion Detection System for Drone Networks
Towards a Deep Learning Approach for Automatic Semantic Segmentation of 3D Lidar point Clouds in Urban Areas
Artificial and Geospatial Intelligence Driven Digital Twins Architecture Development Against the Worldwide Twin Crisis Caused by Covid-19
Remote Sensing and Artificial Intelligence
Opportunities for Artificial Intelligence in Precision Agriculture Using Satellite remote Sensing
Monitoring Land Productivity Trends in Souss-Massa Region Using Landsat Time series Data to Support SDG Target 15.3
Subimages Based Approach for Landslide Susceptibility Mapping Using Convolutional Neural Network
Lithological Mapping for a Semi-arid Area Using GEOBIA and PBIA Machine Learning Approaches with Sentinel-2 Imagery: Case Study of Skhour Rehamna, Morocco
Optimization of Object-based Image Analysis with Genetic Programming to Generate Explicit Knowledge from Worldview 2 Data for Urban Mapping
Machine Learning and Remote Sensing in Mapping and Estimating Rosemary Cover biomass.
Towards a Multi-agents Model for Automatic Big Data Processing to Support Urban planning
Geospatial Forecasting and Social Media Exploration Based on Sentiment Analysis: Application to Flood Forecasting
Deep Convolution Neural Network for Automated Method of Road Extraction on Aerial Imagery
Enhancing the Management of Traffic Sequence Following Departure Trajectories
A Multiagent and Machine Learning based Intrusion Detection System for Drone Networks
Towards a Deep Learning Approach for Automatic Semantic Segmentation of 3D Lidar point Clouds in Urban Areas
Artificial and Geospatial Intelligence Driven Digital Twins Architecture Development Against the Worldwide Twin Crisis Caused by Covid-19
Remote Sensing and Artificial Intelligence
Opportunities for Artificial Intelligence in Precision Agriculture Using Satellite remote Sensing
Monitoring Land Productivity Trends in Souss-Massa Region Using Landsat Time series Data to Support SDG Target 15.3
Subimages Based Approach for Landslide Susceptibility Mapping Using Convolutional Neural Network
Lithological Mapping for a Semi-arid Area Using GEOBIA and PBIA Machine Learning Approaches with Sentinel-2 Imagery: Case Study of Skhour Rehamna, Morocco
Optimization of Object-based Image Analysis with Genetic Programming to Generate Explicit Knowledge from Worldview 2 Data for Urban Mapping
Machine Learning and Remote Sensing in Mapping and Estimating Rosemary Cover biomass.