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Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband and Shatirah Akib
Advancement in river flow prediction systems can greatly empower the operational river management to make better decisions, practices, and policies. Machine learning methods recently have shown promising results in building accurate models for river flow...
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Saeed Khodabakhshzadeh, Mohsen ZAYANDEHROODI, Seyyed Abdolmajid Jalaee ESFANDABADI
Pág. 58 - 72
Healthcare bubbles can cause instability in healthcare system. This study investigates the possibility of single and multiple healthcare bubbles in Iran healthcare market. We applied ADF, SADF and GSADF methods of Left-Tailed Augmented Dickey-Fuller to l...
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Saeed Hosseini, Mohammad Ali Vaziry-Zanjany and Hamid Reza Ovesy
In this research, the architecture and the functionalities of the LAMBDA (Laboratory of Aircraft Multidisciplinary Knowledge-Based Design and Analysis) framework for the design, analysis, and optimization of civil aircraft are presented. The framework is...
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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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Aref Maksoud, Aya Elshabshiri, Amani Saeed Hilal Humaid Alzaabi and Aseel Hussien
The study aims to understand to what extent employing A.I. image-generative tools in architectural concept brainstorming demonstrates effectiveness, accuracy, and adherence to text and image inputs, and evaluate the utilization of A.I. image-generative t...
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Seyed Ali Alavi, Saeed Esfandi, Amir Reza Khavarian-Garmsir, Safiyeh Tayebi, Aliakbar Shamsipour and Ayyoob Sharifi
This research aims to analyze the relationship between environmental justice and urban green space connectivity in Tehran, Iran. The evaluation of green space connectivity in this study is conducted through two distinct cost layers: one aimed at enhancin...
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Thabit Atobishi, Sahar Moh?d Abu Bakir and Saeed Nosratabadi
As public sector agencies face rising imperatives to digitally transform citizen services, data systems, and internal operations, questions persist as to whether investments in big data analytics and automation capabilities, evidenced to drive organizati...
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Sarfaraz Natha, Umme Laila, Ibrahim Ahmed Gashim, Khalid Mahboob, Muhammad Noman Saeed and Khaled Mohammed Noaman
Brain tumors (BT) represent a severe and potentially life-threatening cancer. Failing to promptly diagnose these tumors can significantly shorten a person?s life. Therefore, early and accurate detection of brain tumors is essential, allowing for appropri...
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Lihong Zhang, Saeed Reza Mohandes, Yizhuo Tong, Clara Cheung, Saeed Banihashemi and Miyuan Shan
Although many studies have focused on digital transformation and sustainability within the realm of project management, there has been a lack of research that comprehensively reviews the current state of the art of the aforementioned subject using a holi...
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Amirhossein Javaherikhah, Mercedes Valiente Lopez and Saeed Reza Mohandes
Due to the unique atmospheric conditions on Mars, the management of essential information in Mars buildings is of great importance. Even the smallest error or manipulation of data can create irreparable risks for residents. Martian buildings require a st...
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