Artificial intelligence (AI) is one of the most rapidly developing fields in the field of electronic information technology. Along with diverse data, researchers are putting AI-enabled technologies like image processing, smart sensors, and intelligent inversion to the test in a number of geosciences areas. These technologies have the potential to aid the transition from qualitative to quantitative analysis in geosciences. Artificial intelligence (AI) approaches have proven to be effective in a variety of Earth scientific fields (e.g., climate models, weather prediction, hydrology, space weather, and solid Earth). Prediction, anomaly detection, event classification, and onboard decision-making are all tasks that AI approaches are utilised for on satellites, and they could possibly give high-speed options for describing subgrid processes in climate models. Artificial intelligence (AI) is one of the most rapidly developing fields in the field of electronic information technology. Along with diverse data, researchers are putting AI-enabled technologies like image processing, smart sensors, and intelligent inversion to the test in a number of geosciences areas. These technologies have the potential to aid the transition from qualitative to quantitative analysis in the geosciences.
Title : A powerful analytical tool for geosciences, environmental systems and their potential contaminants: Laser-Induced Breakdown Spectroscopy
Giorgio S Senesi, CNR - Istituto per la Scienza e Tecnologia dei Plasmi (ISTP), Italy
Title : Visualizing the plumbing system of hunga tonga hunga haapai volcano, tonga.
Roman Alvarez, National Autonomous University of Mexico (UNAM), Mexico
Title : Contrasting hydrological regimes in two adjoining semi-arid area, with low rain intensities.
Aaron Yair, Hebrew University in Jerusalem, Israel
Title : Advanced remote sensing techniques for lithological identification and mineral exploration.
Safaa Mohamed Hassan, National Authority for Remote Sensing and Space Sciences, Egypt
Title : Seismic Site Characterization Considering Directional Near-Field Seismogenic Active Faults in Aswan Area, Egypt
Khaled Omar, National Research Institute Of Astronomy And Geophysics (NRIAG), Egypt
Title : Sequential alysis applied on evaporitean series and new model of sebkha deposits: Example of the upper paleocene in afsa basin
Abdel Majid Messadi, Faculty of Sciences of Sfax, Tunisia