Elsevier,

Renewable and Sustainable Energy Reviews, Volume 116, December 2019

Nepal has been suffering from a serious energy crisis for decades. It has severely affected its economic, social and political developments.

This case study shows the contribution of the Global Partnership for Sustainable Development Data to the Open Algorithms Initiative. It addresses how to unlock the potential of private sector data for public good purposed in a safe ethical, scalable and sustainable manner furthering goals 9 and 17.
Over US$60 trillion is predicted to be spent on new infrastructure globally by 2040.
The two-dimensional (2D) ultrathin Mg-Al layered double hydroxide modified by magnetic Fe3O4 (Fe3O4/Mg-Al LDH) was successfully synthesized via the co-precipitation method.
Research and commentary on artificial intelligence, contributing to goal 9 on industry, innovation and infrastructure, with particular focus on the technology-related targets.
Agricultural wastes are readily available in farming communities and can be utilised for off-grid electrification as an alternative to diesel generators.
Electricity systems based on renewables have an increasing demand for flexibility.
Economic development projects are increasingly applying the mitigation hierarchy to achieve No Net Loss, or even a Net Gain, of biodiversity.
Elsevier,

Intelligent Data Mining and Fusion Systems in Agriculture, 2020, Pages 1-15

This book presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. This chapters address SDGs 2 and 9 by presenting methods related to the combination of sensors with Artificial Intelligence architectures in Precision Agriculture.

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