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Hossein Salehi, Saeid Gharechelou, Saeed Golian, Mohammadreza Ranjbari and Babak Ghazi
Hydrological modeling is essential for runoff simulations in line with climate studies, especially in remote areas with data scarcity. Advancements in climatic precipitation datasets have improved the accuracy of hydrological modeling. This research aims...
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Saeid Hazrati, Giuseppe Pignata, Manuela Casale, Seyyed Jaber Hosseini and Silvana Nicola
The optimal fertilizer concentration for Mentha plants is contingent on the growing systems and harvest time, serving as operational solutions to control and enhance quality and yield. This study aimed to determine the effects of three macronutrients con...
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Saeid Khaksari Nezhad, Mohammad Barooni, Deniz Velioglu Sogut and Robert J. Weaver
This review paper focuses on the use of ensemble neural networks (ENN) in the development of storm surge flood models. Storm surges are a major concern in coastal regions, and accurate flood modeling is essential for effective disaster management. Neural...
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Saeid Masoudiashtiani and Richard C. Peralta
In this study, we present artificial neural networks (ANNs) to aid in a reconnaissance evaluation of an aquifer storage and recovery (ASR) well. Recovery effectiveness (REN) is the proportion of ASR-injected water recovered during subsequent extraction f...
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Ghasem Azimiroeen, Seyed Farshid Kashani-Bozorg, Martin Nosko and Saeid Lotfian
Friction stir processing (FSP) offers a unique opportunity to tailor the microstructure and improve the mechanical properties due to the combination of extensive strains, high temperatures, and high-strain rates inherent to the process. Reactive friction...
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Hamidreza Ghandvar, Mostafa Abbas Jabbar, Michal Petru, Tuty Asma Abu Bakar, Lim Jia Ler and Seyed Saeid Rahimian Koloor
This study aims to investigate the microstructural alterations, mechanical properties, sliding wear behavior, and corrosion properties of Al-15%Mg2Si composites with different contents of yttria-stabilized zirconia (YSZ). Al-15%Mg2Si composites with the ...
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Hadi Fazeli, Mohammad Sadegh Allahyari, Saeid Firouzi, Tarek Ben Hassen, Jhalukpreya Surujlal, Nima Nejadrezaei and Mina Sadeghzadeh
Transitioning from fossil to renewable energy is a global challenge, especially for countries with large fossil-fuel reserves and exports, such as Iran. This study analyses agricultural students? knowledge of, attitudes toward, and perceptions of renewab...
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Sudhir Kumar, Inderjeet Singh, Dinesh Kumar, Mohd Yazid Yahya and Seyed Saeid Rahimian Koloor
Mechanical behavior of 3D-printed poly(lactic) acid material is an open topic for research on the reliability assessment of structures in marine and offshore industries. This article presents the mechanical and morphological properties of poly(lactic) ac...
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Saeid Mehdizadeh, Babak Mohammadi and Farshad Ahmadi
Potential of a classic adaptive neuro-fuzzy inference system (ANFIS) was evaluated in the current study for estimating the daily dew point temperature (Tdew). The study area consists of two stations located in Iran, namely the Rasht and Urmia. The daily ...
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Fatemeh Rafiei, Saeid Gharechelou, Saeed Golian and Brian Alan Johnson
Climate change and overpopulation have led to an increase in water demands worldwide. As a result, land subsidence due to groundwater extraction and water level decline is causing damage to communities in arid and semiarid regions. The agricultural plain...
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