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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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Zeyu Xu, Wenbin Yu, Chengjun Zhang and Yadang Chen
In the era of noisy intermediate-scale quantum (NISQ) computing, the synergistic collaboration between quantum and classical computing models has emerged as a promising solution for tackling complex computational challenges. Long short-term memory (LSTM)...
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Zhenwen He, Xianzhen Liu and Chunfeng Zhang
Three-dimensional voxel models are widely applied in various fields such as 3D imaging, industrial design, and medical imaging. The advancement of 3D modeling techniques and measurement devices has made the generation of three-dimensional models more con...
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Cai Lu and Chunlong Zhang
Seismic velocity inversion is one of the most critical issues in the field of seismic exploration and has long been the focus of numerous experts and scholars. In recent years, the advancement of machine learning technologies has infused new vitality int...
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Sara El Mekkaoui, Loubna Benabbou, Stéphane Caron and Abdelaziz Berrado
Improving maritime operations planning and scheduling can play an important role in enhancing the sector?s performance and competitiveness. In this context, accurate ship speed estimation is crucial to ensure efficient maritime traffic management. This s...
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Ibtisam Kamal, Namam M. Salih and Dmitriy A. Martyushev
It is well recognized that PVT data are essential in oil and gas production facilities as well as in the determination of the reservoir fluid composition in reservoir engineering calculations. In the current work, the studied borehole is located in Tawke...
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Karine Smith, Jaclyn M. H. Cockburn and Paul V. Villard
Modeling in ice-covered rivers is limited due to added computational complexity, specifically challenges with the collection of field calibration data. Using River2D, a 2-dimensional hydrodynamic modeling software, this study simulates depth-averaged vel...
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Guangming Ling, Xiaofeng Mu, Chao Wang and Aiping Xu
Address parsing is a crucial task in natural language processing, particularly for Chinese addresses. The complex structure and semantic features of Chinese addresses present challenges due to their inherent ambiguity. Additionally, different task scenar...
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Nurgali Kadyrbek, Madina Mansurova, Adai Shomanov and Gaukhar Makharova
This study is devoted to the transcription of human speech in the Kazakh language in dynamically changing conditions. It discusses key aspects related to the phonetic structure of the Kazakh language, technical considerations in collecting the transcribe...
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Monika Hrynkiewicz, Anna Iwaniak, Piotr Minkiewicz, Malgorzata Darewicz and Wojciech Plonka
This study aimed to analyze the structural requirements for di- and tripeptides exhibiting a DPP IV-inhibitory effect. The sequences of 46 di- and 33 tripeptides, including their bioactivity (IC50; µM), were implemented from the BIOPEP-UWM database, wher...
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