Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mojtaba Zaresefat"'
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:
Komeil Rajaee, Meysam Pourabbas Bilondi, Mohammad Hossein Barimani, Mahdi Amiri Daluee, Mojtaba Zaresefat
Publikováno v:
Case Studies in Construction Materials, Vol 21, Iss , Pp e03403- (2024)
While fine glass powder is a promising precursor for geopolymer production, its preparation is time-consuming and expensive. This study investigates using six different particle sizes of recycled glass – three uniform (fine and coarse) and three hy
Externí odkaz:
https://doaj.org/article/71de0dbe1759453b91b17e1e588d0dff
Publikováno v:
Water, Vol 16, Iss 18, p 2581 (2024)
No single spatial interpolation method reigns supreme for modelling the precise spatial distribution of groundwater quality data. This study addresses this challenge by evaluating and comparing several commonly used geostatistical methods: Local Poly
Externí odkaz:
https://doaj.org/article/d6efc0a531554ef9be7f19501ba774a0
Publikováno v:
Results in Engineering, Vol 21, Iss , Pp 101974- (2024)
Civil infrastructure relies on cement, a common building material. However, Portland cement production pollutes the world by consuming mineral resources and emitting carbon dioxide. Using modern, cost-effective, and eco-friendly cement materials seem
Externí odkaz:
https://doaj.org/article/97f85436991048e78af660adafbd1f08
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
Publikováno v:
Results in Engineering, Vol 20, Iss , Pp 101501- (2023)
Characteristics of pavement material are crucial factors in improving the stability and durability of asphalt pavement due to the poor performance of traditional asphalts. Reusing industrial waste in asphalt concrete production can address these conc
Externí odkaz:
https://doaj.org/article/99af066a421c43e0ad6d993b2c6e15d3
Publikováno v:
Water, Vol 15, Iss 24, p 4220 (2023)
Iranian water security is threatened by groundwater (GW) degradation. The excessive use of GW for agriculture in Iran is degrading these resources. Livestock waste disposal and sewage irrigation are also major contributors. Nitrate (NO3) contaminatio
Externí odkaz:
https://doaj.org/article/519fce1b14b5458fb8a24673f31b0f10
Autor:
Mojtaba Zaresefat, Reza Derakhshani
Publikováno v:
Water, Vol 15, Iss 9, p 1750 (2023)
Developing precise soft computing methods for groundwater management, which includes quality and quantity, is crucial for improving water resources planning and management. In the past 20 years, significant progress has been made in groundwater manag
Externí odkaz:
https://doaj.org/article/3fb9cc6e7e6c4acd972b77c3a11ed00b
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