Kirti Rawal – författare

How can the efficiency of the algorithms be increased with a lesser number of computations as well as optimized with the resources for cost-effective solutions? Artificial Intelligence Techniques for Sustainable Development provides an answer. Further, it discusses important concepts such as green communication network design and implementation for the Internet of Things ecosystem, green computing in network security, and artificial intelligence models for remote sensing applications.Key features:Presents the latest tools and techniques in developing solutions intended for resource utilization, energy efficiency, and human and environmental healthHighlights the advancement in electronics and communication technology for green applicationsCovers smart energy harvesting/charging and power management techniques using machine learningExplains green communication network design and implementation for the Internet of Things ecosystem, and green computing in network securityIllustrates prediction models for carbon emission and sequestration, environmental health, and climate changeThe book is aimed at senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, environmental engineering, and biomedical engineering.

How can the efficiency of the algorithms be increased with a lesser number of computations as well as optimized with the resources for cost-effective solutions? Artificial Intelligence Techniques for Sustainable Development provides an answer. Further, it discusses important concepts such as green communication network design and implementation for the Internet of Things ecosystem, green computing in network security, and artificial intelligence models for remote sensing applications.Key features:Presents the latest tools and techniques in developing solutions intended for resource utilization, energy efficiency, and human and environmental healthHighlights the advancement in electronics and communication technology for green applicationsCovers smart energy harvesting/charging and power management techniques using machine learningExplains green communication network design and implementation for the Internet of Things ecosystem, and green computing in network securityIllustrates prediction models for carbon emission and sequestration, environmental health, and climate changeThe book is aimed at senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, environmental engineering, and biomedical engineering.

How can the efficiency of the algorithms be increased with a lesser number of computations as well as optimized with the resources for cost-effective solutions? Artificial Intelligence Techniques for Sustainable Development provides an answer. Further, it discusses important concepts such as green communication network design and implementation for the Internet of Things ecosystem, green computing in network security, and artificial intelligence models for remote sensing applications.

Key features:

Presents the latest tools and techniques in developing solutions intended for resource utilization, energy efficiency, and human and environmental health Highlights the advancement in electronics and communication technology for green applications Covers smart energy harvesting/charging and power management techniques using machine learning Explains green communication network design and implementation for the Internet of Things ecosystem, and green computing in network security Illustrates prediction models for carbon emission and sequestration, environmental health, and climate change

The book is aimed at senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, environmental engineering, and biomedical engineering.