Asset Details
Do you wish to reserve the book?
Assessing the correlation between the sustainable energy for all with doing a business by artificial neural network
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Assessing the correlation between the sustainable energy for all with doing a business by artificial neural network
Do you wish to request the book?
Assessing the correlation between the sustainable energy for all with doing a business by artificial neural network
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Assessing the correlation between the sustainable energy for all with doing a business by artificial neural network
2022
Overview
In recent years, artificial intelligence-based solutions have become widespread in various fields and have been observed to produce important solutions to critical problems. In this context, it is aimed to assess and establish a direct correlation between energy production/consumption and establishing sustainable business models by using artificial intelligence models. Thus, artificial intelligence-based models have been developed by using parameters related to global energy consumption, doing business, and critical concepts of the relevant topics. The results show that the proposed artificial intelligent-based models reveal a significant correlation between doing business and energy. The outcome of the study could be used in the determination of country strategies in critical areas such as transportation, infrastructure, and education in the near and far future.
Publisher
Springer London,Springer Nature B.V
