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Sesan Abiodun Aransiola, Ebenezer Esenogho, Naga Raju Maddela - AI Innovations in Marine Resources and Pollution Management, Häftad

Häftad, Engelska, 2027

AI Innovations in Marine Resources and Pollution Management

Av Sesan Abiodun Aransiola, Ebenezer Esenogho, Naga Raju Maddela

2309 kr

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Beskrivning
AI Innovations in Marine Resources and Pollution Management explores how cutting-edge artificial intelligence technologies are revolutionizing the monitoring, understanding, and protection of our oceans. This comprehensive guide addresses the pressing challenges of marine pollution and resource conservation by showcasing AI-driven solutions-from advanced predictive models and real-time detection to sophisticated mapping and sensor fusion technologies. It highlights innovative applications such as microplastics classification, oil spill detection with smart drones, and geospatial intelligence for ecosystem monitoring, providing practical insights for researchers, policymakers, and environmental practitioners.

By harnessing the transformative power of AI, this book aims to improve pollution tracking, enhance response strategies, and promote sustainable management of marine environments-an essential resource for students and researchers dedicated to protecting our oceans and fostering a sustainable future.

  • Provides in-depth insights into innovative solutions such as sensor fusion, geospatial intelligence, and drone-based detection systems to enhance marine environmental protection
  • Covers a wide range of AI-driven technologies and applications for monitoring, predicting, and managing marine pollution and resources
  • Includes case studies from around the world that illustrate the successful implementation of AI tools in tracking microplastics, oil spills, and emerging pollutants, thus informing on sustainable marine management practices
Produktinformation
  • Utgivningsdatum: 2027-01-01
  • Mått: 216 x 276 x undefined mm
  • Vikt: 450 g
  • Format: Häftad
  • Språk: Engelska
  • Antal sidor: 320
  • Förlag: Elsevier Science
  • ISBN: 9780443511622
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