Published: Oct. 18, 2024
Language: Английский
Published: Oct. 18, 2024
Language: Английский
Structures, Journal Year: 2024, Volume and Issue: 62, P. 106155 - 106155
Published: March 13, 2024
Language: Английский
Citations
10Information, Journal Year: 2025, Volume and Issue: 16(1), P. 60 - 60
Published: Jan. 16, 2025
Shear wave velocity (Vs) is an important soil parameter to be known for earthquake-resistant structural design and determining the dynamic properties of soils such as modulus elasticity shear modulus. Different Vs measurement methods are available. However, these methods, which costly labor intensive, have led search new Vs. This study aims predict (Vs (m/s)) using depth (m), cone resistance (qc) (MPa), sleeve friction (fs) (kPa), pore water pressure (u2) N, unit weight (kN/m3). Since varies with depth, regression studies were performed at depths up 30 m in this study. The dataset used open-source dataset, data from Taipei Basin. was extracted, a 494-line created. In study, HyperNetExplorer 2024V1, prediction based on shell (fs), (kN/m3) values could satisfactory results (R2 = 0.78, MSE 596.43). Satisfactory obtained Explainable Artificial Intelligence (XAI) models also used.
Language: Английский
Citations
2Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 144, P. 110077 - 110077
Published: Jan. 27, 2025
Language: Английский
Citations
1Neural Computing and Applications, Journal Year: 2024, Volume and Issue: 36(27), P. 16991 - 17006
Published: June 4, 2024
Language: Английский
Citations
7Computers & Geosciences, Journal Year: 2025, Volume and Issue: unknown, P. 105849 - 105849
Published: Jan. 1, 2025
Language: Английский
Citations
0Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 155, P. 111095 - 111095
Published: May 22, 2025
Language: Английский
Citations
0Published: May 17, 2024
Language: Английский
Citations
2Published: May 17, 2024
Language: Английский
Citations
1Published: April 26, 2024
Relationships extraction using sMIL algorithm requires a set of classic and famous prescriptions data which is source that contains relational objects. The document in this paper the literature summary retrieved from database such as PubMed. Therefore, order to dig out genetic target syndrome coronary heart much possible improve accuracy excavation, mining model where network decomposition symptom combination are combined proposed mine NEI gene related disease with help large number previous research group. Then final conclusion will be reached through comprehensively considering results these two methods. Data biomedical literatures containing some disease.
Language: Английский
Citations
0Published: April 26, 2024
With the rapid growth of advanced computer technology, educational technology has impressed not only on evaluation English, but also for Chinese composition. In China, an automatic composition system utilized foreign language writing teaching. Writing is significant comprehensive expertise learners. An grading consists using Natural Language Processing (NLP) as well Artificial Intelligence (AI) to estimate score compositions. this research, Optimal Convolutional Neural Network (CNN) proposed intelligence data collected from characters evaluate performance. Initially, pre-processed by utilizing stemming and stop word removal techniques. Then, segmentation feature extraction Term Frequency Inverse Document (TF-IDF) utilized. Finally, optimal CNN scoring The effectiveness evaluated accuracy it achieves 79.2 % in rhetorical approaches
Language: Английский
Citations
0