Host utilization prediction using Taylor Kernel Convolutional Neural Network (TKCNN) and workflow scheduling for smart irrigation cloud data centers-Reference-Cited by-同舟云学术

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Host utilization prediction using Taylor Kernel Convolutional Neural Network (TKCNN) and workflow scheduling for smart irrigation cloud data centers

Published:2023-08 Issue: Volume:28 Page:100833
ISSN:2665-9174
Container-title:Measurement: Sensors
language:en
Short-container-title:Measurement: Sensors

Author:

Bhasker B.,Murali S.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanics of Materials,Electronic, Optical and Magnetic Materials

Reference31 articles.

1. UN World Population Prospects 2019. Available online: https://population.un.org/wpp. (accessed on 2 October 2021).

2. A review of wireless sensors and networks' applications in agriculture;Aqeel-Ur-Rehman;Comput. Stand. Interfac.,2014

3. Internet of things for the future of smart agriculture: a comprehensive survey of emerging technologies;Friha;IEEE CAA J. Autom. Sin.,2021

4. The role of irrigation in development of agriculture in Srem district;Mihailović;Econ. Agricul.,2014

5. World agriculture towards 2030/2050: the 2012 revision;Alexandratos,2012

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