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Zahra Gharibreza, Mahmoud Ghazavi and M. Hesham El Naggar
Unsaturated soil covers a significant part of the world, and studying the behavior of deep foundations in this medium is an important step in increasing accuracy and economic efficiency in geotechnical studies. This paper presents an analytical solution ...
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Zahra Ameli, Shabnam Jafarpoor Nesheli and Eric N. Landis
The application of deep learning (DL) algorithms has become of great interest in recent years due to their superior performance in structural damage identification, including the detection of corrosion. There has been growing interest in the application ...
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Chitransh Shrivastava, Nor Hafizah Ramli Sulong, Tatheer Zahra, Mohamed Elchalakani, Kumari Gamage and Sabrina Fawzia
The environmental concerns raised by the over-exploitation of fresh water and river sand have driven researchers to explore seawater sea sand concrete (SWSSC) as a substitute for conventional concrete in structural columns. With numerous investigations o...
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Fatima Zahra Aliyat, Mohammed El Guilli, Laila Nassiri, Rachid Lahlali, Essaid Ait Barka and Jamal Ibijbijen
This study aimed to elucidate the impact of phosphate-solubilizing bacteria (PSB) and arbuscular mycorrhizal fungi (AMF) inoculation on sorghum growth within substrates derived from phosphate solid sludge, with the overarching objective of repurposing ph...
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Jens Engström, Zahra Shahroozi, Eirini Katsidoniotaki, Charitini Stavropoulou, Pär Johannesson and Malin Göteman
Wave energy conversion is a renewable energy technology with a promising potential. Although it has been developed for more than 200 years, the technology is still far from mature. The survivability in extreme weather conditions is a key parameter haltin...
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Zahra Ebadi Ansaroudi, Rocco Zaccagnino and Paolo D?Arco
Pseudorandomness is a crucial property that the designers of cryptographic primitives aim to achieve. It is also a key requirement in the calls for proposals of new primitives, as in the case of block ciphers. Therefore, the assessment of the property is...
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Ahmed Alwakeel, Mohammed Alwakeel, Mohammad Hijji, Tausifa Jan Saleem and Syed Rameem Zahra
Image classification is one of the major data mining tasks in smart city applications. However, deploying classification models that have good generalization accuracy is highly crucial for reliable decision-making in such applications. One of the ways to...
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Saleem Shahid, Hijab Zahra, Saad Bin Qaisar, Ijaz Haider Naqvi, Syed Muzahir Abbas and Subhas Mukhopadhyay
This paper presents an experimental characterization of the proposed radio link model for an underground mine sensor network. Power efficiency and range are critical factors to consider when designing a wireless sensor network, particularly for low data ...
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Mohammad H. Nadimi-Shahraki, Zahra Asghari Varzaneh, Hoda Zamani and Seyedali Mirjalili
Feature selection is an NP-hard problem to remove irrelevant and redundant features with no predictive information to increase the performance of machine learning algorithms. Many wrapper-based methods using metaheuristic algorithms have been proposed to...
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Zahra Nazari and Petr Musilek
Digital transformation is a phenomenon introduced by the transformative power of digital technologies, and it has become a key driver for the energy sector, with advancements in technology leading to significant changes in the way energy is produced, tra...
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