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

Aus der Reihe Studies in Computational Intelligence

199,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.09.2020

Abbildungen

VIII, 311 p. 115 illus., 92 illus. in color.

Herausgeber

Aboul Ella Hassanien + weitere

Verlag

Springer

Seitenzahl

311

Maße (L/B/H)

24,1/16/2,3 cm

Gewicht

647 g

Auflage

20001 Auflage 1st edition 2021

Sprache

Englisch

ISBN

978-3-030-51919-3

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.09.2020

Abbildungen

VIII, 311 p. 115 illus., 92 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

311

Maße (L/B/H)

24,1/16/2,3 cm

Gewicht

647 g

Auflage

20001 Auflage 1st edition 2021

Sprache

Englisch

ISBN

978-3-030-51919-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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