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Mazen A. Al-Sinan, Abdulaziz A. Bubshait and Zainab Aljaroudi
Recent advancements in machine learning (ML) applications have set the stage for the development of autonomous construction project scheduling systems. This study presents a blueprint to demonstrate how construction project schedules can be generated aut...
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Ulzhan Bissarinova, Aidana Tleuken, Sofiya Alimukhambetova, Huseyin Atakan Varol and Ferhat Karaca
This paper introduces a deep learning (DL) tool capable of classifying cities and revealing the features that characterize each city from a visual perspective. The study utilizes city view data captured from satellites and employs a methodology involving...
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Wencong Xu, Hongyi Lu, Lei Zhao and Borui He
In recent years, with the rapid development of computer technology and artificial intelligence design technology, multiple possible design solutions can be quickly generated by transforming the experience and knowledge of structural design into computer ...
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Luisa Boni, Marco Bassetto and Alessandro A. Quarta
Photonic solar sails are a class of advanced propellantless propulsion systems that use thin, large, lightweight membranes to convert the momentum of light from the Sun into thrust for space navigation. The conceptually simple nature of such a fascinatin...
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Sufyan Danish, Asfandyar Khan, L. Minh Dang, Mohammed Alonazi, Sultan Alanazi, Hyoung-Kyu Song and Hyeonjoon Moon
Bioinformatics and genomics are driving a healthcare revolution, particularly in the domain of drug discovery for anticancer peptides (ACPs). The integration of artificial intelligence (AI) has transformed healthcare, enabling personalized and immersive ...
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Baoyu Fan, Han Ma, Yue Liu and Xiaochen Yuan
With the growth of data in the real world, datasets often encounter the problem of long-tailed distribution of class sample sizes. In long-tailed image recognition, existing solutions usually adopt a class rebalancing strategy, such as reweighting based ...
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James B. Rosenzweig, Gerard Andonian, Ronald Agustsson, Petr M. Anisimov, Aurora Araujo, Fabio Bosco, Martina Carillo, Enrica Chiadroni, Luca Giannessi, Zhirong Huang, Atsushi Fukasawa, Dongsung Kim, Sergey Kutsaev, Gerard Lawler, Zenghai Li, Nathan Majernik, Pratik Manwani, Jared Maxson, Janwei Miao, Mauro Migliorati, Andrea Mostacci, Pietro Musumeci, Alex Murokh, Emilio Nanni, Sean O?Tool, Luigi Palumbo, River Robles, Yusuke Sakai, Evgenya I. Simakov, Madison Singleton, Bruno Spataro, Jingyi Tang, Sami Tantawi, Oliver Williams, Haoran Xu and Monika YadavaddShow full author listremoveHide full author list
Recently, considerable work has been directed at the development of an ultracompact X-ray free-electron laser (UCXFEL) based on emerging techniques in high-field cryogenic acceleration, with attendant dramatic improvements in electron beam brightness and...
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Muhammad Umer Masood, Muhammad Rashid, Saif Haider, Iram Naz, Chaitanya B. Pande, Salim Heddam, Fahad Alshehri, Ismail Elkhrachy, Amimul Ahsan and Saad Sh. Sammen
Groundwater is an important source of freshwater. At the same time, anthropogenic activities, in particular, industrialization, urbanization, population growth, and excessive application of fertilizers, are some of the major reasons for groundwater quali...
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Javad Hassannataj Joloudari, Abdolreza Marefat, Mohammad Ali Nematollahi, Solomon Sunday Oyelere and Sadiq Hussain
Imbalanced Data (ID) is a problem that deters Machine Learning (ML) models from achieving satisfactory results. ID is the occurrence of a situation where the quantity of the samples belonging to one class outnumbers that of the other by a wide margin, ma...
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Alicia Cordero, Javier G. Maimó, Antmel Rodríguez-Cabral and Juan R. Torregrosa
In this manuscript, we carry out a study on the generalization of a known family of multipoint scalar iterative processes for approximating the solutions of nonlinear systems. The convergence analysis of the proposed class under various smooth conditions...
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