AI-Driven Environmental Intelligence & Predictive Analytics
The fusion of data science with Earth systems research is transforming environmental decision-making. AI-driven environmental intelligence & predictive analytics is at the forefront of this shift, using artificial intelligence to mine massive environmental datasets for actionable insights. Applications range from climate forecasting and habitat modeling to pollution prediction and disaster alert systems. Neural networks and deep learning models now outperform traditional simulations in identifying non-linear patterns, anomalies, and future risks. These tools are also being applied to optimize resource use, improve climate models, and design early warning systems for extreme weather events. The relevance of AI-Driven Environmental Intelligence & Predictive Analytics extends beyond research, informing public policy, industrial innovation, and community resilience planning.
Dai Yeun Jeong
Jeju National University, Korea, Republic of
Sanjeev Gajjela
Tomato Sustainables LTD, United Kingdom
Sergey Suchkov
N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Dai Yeun Jeong
Jeju National University, Korea, Republic of
Sanjeev Gajjela
Tomato Sustainables LTD, United Kingdom
Sergey Suchkov
N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Ana Santos
Lisbon University, PortugalSubmit your abstract Today
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Title : Amateur sports clubs and the politics of sustainability: A critical sociological perspective from Portugal
Ana Santos, Lisbon University, Portugal
Title : Prevalence and antibiotic resistance patterns of gram-negative bacteria isolated from cosmetic products
Fahad Alanazi, The Saudi Food and Drug Authority, Saudi Arabia
Title : The cost and severity of extreme natural disasters: What they mean for society and insurance
Giuseppe Orlando, Universita degli Studi di Bari “Aldo Moro”, Italy
Title : Improving mechanical properties of recycled aggregate pervious concrete using Taguchi method
Eslam S Hemeda, Menoufia University, Egypt
Title : Environment, development and resilience: Africa and Congo facing the challenges of the 21st century
Obami Ondon Harmel, Marien NGOUABI University, Congo
Title : Next generation waste management of oilfield produced water via desalination and solid waste utilization
Mukesh Sharma, Oil India Limited, India