This article supports SDGs 7 and 9 by introducing interpretable artificial intelligence (AI) tools, especially proxy models based on artificial neural networks, efficient variable analysis and optimal value prediction of membrane electrode components in proton exchange membrane fuel cells, thereby improving their performance and reducing computational costs.
Scientists and governments of South Asian countries can work together more efficiently in the future, not just to react to the urban socio-economic and environmental problems of today, but work with superior foresight today to make strong decisions for tomorrow.
The review examined the potential of renewable and non-renewable energy resources and the current state of exploitation in Kenya.
This chapter advances SDG 6 by discussing recent advancement in the usage of nanocellulose as an adsorbent for water and wastewater treatment and by highlighting current challenges and limitations related to nanocellulose derived material applications at an industrial scale.
This chapter advances SDG 6 by presenting an overview of the development of polymeric adsorbents from different agrowastes along with used physical and methods with their success and shortcomings.
The energy, exergy and economic analysis of indirect type solar dryer (ITSD) was performed while drying green chilli under forced and natural convection.
The direct conversion of methane to methanol is very promising to achieve a decarbonized future but remains a great challenge.
This book chapter advances SDGs 9, 13, and 11 by exploring the relationship between environmental quality and economic development to help policymakers design and implement effective policies in order to achieve sustainability goals.
Owing to its versatility, biomass can be used for a range of CO2 mitigation and removal options.
