Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Industrial AI: Machine Learning and Deep Learning Applications

Industrial AI: Machine Learning and Deep Learning Applications

Leena Sivaguru

Paperback

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ISBN10: 6209659462
ISBN13: 9786209659461
Publisher: LAP Lambert Academic Publishing
Published: Feb 23 2026
Pages: 160
Weight: 0.49
Height: 0.37 Width: 6.00 Depth: 9.00
Language: English
The growing environmental challenges of the 21st century-including climate change, resource depletion, and biodiversity loss-require innovative, technology-driven solutions. Artificial Intelligence for Environmental Sustainability: Machine Learning and IoT Solutions explores how Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) can support sustainable environmental management. The monograph introduces the fundamentals of AI, ML, and IoT, and examines their integration for real-time monitoring, data analysis, and optimization of environmental systems. Key applications include climate prediction, smart energy and water management, precision agriculture, waste reduction, and biodiversity conservation, supported by relevant case studies. It also addresses ethical considerations, data security, and scalability challenges to ensure responsible deployment. By combining theoretical foundations with practical insights, the book serves as a valuable resource for students, researchers, practitioners, and policymakers, fostering innovation, interdisciplinary collaboration, and informed decision-making toward resilient and sustainable ecosystems.

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