Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Amin GhasemiNejad"'
Artificial intelligence-driven assessment of salt caverns for underground hydrogen storage in Poland
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract This study explores the feasibility of utilizing bedded salt deposits as sites for underground hydrogen storage. We introduce an innovative artificial intelligence framework that applies multi-criteria decision-making and spatial data analys
Externí odkaz:
https://doaj.org/article/dea6b875105d43a28587e8e858533b5f
Autor:
Reza Derakhshani, Leszek Lankof, Amin GhasemiNejad, Alireza Zarasvandi, Mohammad Mahdi Amani Zarin, Mojtaba Zaresefat
Publikováno v:
Energies, Vol 17, Iss 15, p 3677 (2024)
This research investigates the potential of using bedded salt formations for underground hydrogen storage. We present a novel artificial intelligence framework that employs spatial data analysis and multi-criteria decision-making to pinpoint the most
Externí odkaz:
https://doaj.org/article/8417682789dc47de857fe21204b6738f
Autor:
Reza Derakhshani, Amin GhasemiNejad, Naeeme Amani Zarin, Mohammad Mahdi Amani Zarin, Mahdis sadat Jalaee
Publikováno v:
Mathematics, Vol 12, Iss 15, p 2316 (2024)
Energy is a foundational element of the modern industrial economy. Prices of metals play a crucial role in energy sectors’ revenue evaluations, making them the cornerstone of effective payment management employed by resource policymakers. Copper is
Externí odkaz:
https://doaj.org/article/e7fc152bbfdc455aa61587b763e1e407
Autor:
Reza Derakhshani, Mojtaba Zaresefat, Vahid Nikpeyman, Amin GhasemiNejad, Shahram Shafieibafti, Ahmad Rashidi, Majid Nemati, Amir Raoof
Publikováno v:
Land, Vol 12, Iss 4, p 776 (2023)
This study proposes an artificial intelligence approach to assess watershed morphometry in the Makran subduction zones of South Iran and Pakistan. The approach integrates machine learning algorithms, including artificial neural networks (ANN), suppor
Externí odkaz:
https://doaj.org/article/e026c3ccf39446aa872e663e2069cf4e
Publikováno v:
Water, Vol 15, Iss 6, p 1182 (2023)
A water supply is vital for preserving usual human living standards, industrial development, and agricultural growth. Scarce water supplies and unplanned urbanization are the primary impediments to results in dry environments. Locating suitable sites
Externí odkaz:
https://doaj.org/article/ed8ce8e6330b499ca823099ed8ecae1b
Autor:
Sayyed Abdolmajid Jalaee, Alireza Shakibaei, Hamid Reza Horry, Hossein Akbarifard, Amin GhasemiNejad, Fateme Nazari Robati, Naeeme Amani Zarin
Publikováno v:
MethodsX, Vol 8, Iss , Pp 101226- (2021)
Money demand is one of the most important economic variables which are a critical component in appointing and choosing appropriate monetary policy, because it determines the transmission of policy-driven change in monetary aggregates to the real sect
Externí odkaz:
https://doaj.org/article/772ff3eb2f62472c89dc91567b2327e9
Autor:
Sayyed Abdolmajid Jalaee, Alireza Shakibaei, Hossein Akbarifard, Hamid Reza Horry, Amin GhasemiNejad, Fateme Nazari Robati, Naeeme Amani zarin, Reza Derakhshani
Publikováno v:
MethodsX, Vol 8, Iss , Pp 101310- (2021)
This paper deals with the global energy consumption to forecast future projections based on primary energy, global oil, coal and natural gas consumption using a hybrid Cuckoo optimization algorithm and information of British Petroleum Company plc and
Externí odkaz:
https://doaj.org/article/6d08abc9dc8f45e98766cda04f285bd7
Autor:
Mahdis sadat Jalaee, Amin GhasemiNejad, Sayyed Abdolmajid Jalaee, Naeeme Amani Zarin, Reza Derakhshani
Publikováno v:
Energies, Vol 15, Iss 7, p 2578 (2022)
Energy has become an integral part of our society and global economic development in the twenty-first century. Despite tremendous technological advancements, fossil fuels (coal, natural gas, and oil) continue to be the world’s primary source of ene
Externí odkaz:
https://doaj.org/article/54beb234c9f443a7970a97c9261dfbe9
Publikováno v:
MethodsX, Vol 7, Iss , Pp 100986- (2020)
This paper presents the application of Bat and Cuckoo optimization algorithm methods to forecast Global CO2 emerged from energy consumption. The models are developed in two forms (linear and exponential) and used to estimate to develop Global CO2 emi
Externí odkaz:
https://doaj.org/article/f617996c233247eba7204a59e371d2d2
Publikováno v:
Heliyon, Vol 5, Iss 8, Pp e02344- (2019)
In this paper, we develop a function of inflation, unemployment, liquidity and real effective exchange rate by applying Autoregressive Distributed Lag (ARDL) and Artificial Neural Networks (ANN). We employ the aforementioned methods to derive the so-
Externí odkaz:
https://doaj.org/article/762cbfe01e0a4c2ca880a264ecd2293c