Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications - 
      Aboul Ella Hassanien
    
      Roheet Bhatnagar
    
      Ashraf Darwish

Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications

Aboul Ella Hassanien (Redaktør) ; Roheet Bhatnagar (Redaktør) ; Ashraf Darwish (Redaktør)

Serie: Studies in Computational Intelligence 912

This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Les mer
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This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development.
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Utgitt:
Forlag: Springer Nature Switzerland AG
Innbinding: Innbundet
Språk: Engelsk
Sider: 311
ISBN: 9783030519193
Utgave: 1st ed. 2021
Format: 24 x 16 cm
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SERIE:
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Part I: Artificial Intelligence in agriculture.- Optimization of Drip Irrigation Systems Using Artificial Intelligence Methods for Sustainable Agriculture and Environment.- Artificial Intelligence System for Grape Leaf Diseases Classification.- Robust Deep Transfer Models for Fruit and Vegetable Classification: A Step Towards a Sustainable Dietary.- The Role of Artificial Neuron Networks in Intelligent Agriculture (Case study: Greenhouse).- Part-II Artificial Intelligence in Smart health Care.- Artificial Intelligence based Multinational Corporate Model for EHR Interoperability on an e-Health platform.- Predicting COVID19 Spread in Saudi Arabia using Artificial Intelligence Techniques - proposing a shift Towards a Sustainable Healthcare Approach.- Predicting COVID19 Spread in Saudi Arabia using Artificial Intelligence Techniques - proposing a shift Towards a Sustainable Healthcare Approach.- Part III: Machine Learning and Deep Learning Applications.- A Comprehensive Study of Deep Neural Networks for Unsupervised Deep Learning.- An Overview of Deep Learning Techniques for Biometric Systems.- Convolution of Images using Deep Neural Networks in the Recognition of Footage Objects.- A Machine Learning-based Framework for Efficient LTE Downlink Throughput.- Artificial Intelligence and Blockchain for Transparency in Governance.- Artificial Intelligence Models in Power System Analysis.- Part IV: Smart Networking Applications.- Internet of Things for Water Quality Monitoring and Assessment: A Comprehensive Review.- Contribution to the Realization of a Smart and Sustainable Home.- Appliance Scheduling towards Energy Management in IoT Networks Using Bacteria Foraging Optimization (BFO) Algorithm.