AI-Based Geosciences
AI in Geosciences revolutionizes how we understand Earth's processes. Through advanced algorithms and big data analysis, AI enhances geological mapping, seismic interpretation, and mineral exploration. Machine learning models predict geological phenomena, optimize drilling processes, and even forecast natural disasters. AI's integration with remote sensing and GIS aids in environmental monitoring and land management. Moreover, AI-driven simulations simulate geological scenarios with unprecedented accuracy, aiding in reservoir characterization and hazard mitigation. As AI evolves, its applications in geosciences promise to unlock new insights into Earth's history and future, advancing sustainable resource management and resilience against natural hazards.
Myint Win Bo
Toronto Metropolitan University , Canada
Leonid Anisimov
Volgograd State University, Russian Federation
Shozo Yanagida
Osaka University, Japan
Martina Gaglioti
LIPU, Italy
Maria Vicenta Esteller Alberich
Universidad Autónoma del Estado de México, Mexico
Oscar Andres Cuanalo Campos
Universidad Popular Autónoma del Estado de Puebla, Mexico
Arun K Shandilya
Dr HSG University Sagar, India
Title : Geotechnical ground investigation
Myint Win Bo, Toronto Metropolitan University , Canada
Title : Simultaneous Global Climate Change "Heat Waves" and microwave and radio-wave from Solar Flares
Shozo Yanagida, Osaka University, Japan
Title : How subsurface waters record the earth’s history
Leonid Anisimov, Volgograd State University, Russian Federation
Title : Landslides.Rainfall one of the main triggering factors in the mountainous regions of Puebla, Mexico.
Oscar Andres Cuanalo Campos, Universidad Popular Autónoma del Estado de Puebla, Mexico
Title : Geo Education exploratory learning sessions on field and underwater
Martina Gaglioti, LIPU, Italy
Title : Linking between color and element concentration for Fluorite: An optical spectroscopic approach
Ali Almohammed, Pandit Deendayal Energy University, India