Renewable Energy Generation Prediction using Structure Embedded based Gated Recurrent Unit DOI

E C Vidya Sagar Mudunuri,

K. Barathi,

S. Madhubalan

et al.

Published: Oct. 18, 2024

Language: Английский

Optimized machine learning models for prediction of effective stiffness of rectangular reinforced concrete column sections DOI
Sanjog Chhetri Sapkota, Sourav Das, Prasenjit Saha

et al.

Structures, Journal Year: 2024, Volume and Issue: 62, P. 106155 - 106155

Published: March 13, 2024

Language: Английский

Citations

10
Shear Wave Velocity Prediction with Hyperparameter Optimization DOI Creative Commons
Gebrai̇l Bekdaş, Yaren Aydın, Ümit Işıkdağ

et al.

Information, 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

2
DFTQuake: Tripartite Fourier attention and dendrite network for real-time early prediction of earthquake magnitude and peak ground acceleration DOI
Anushka Joshi,

Nithya Reddy Vedium,

Balasubramanian Raman

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 144, P. 110077 - 110077

Published: Jan. 27, 2025

Language: Английский

Citations

1
An integrated approach for prediction of magnitude using deep learning techniques DOI
Anushka Joshi, Balasubramanian Raman, C. Krishna Mohan

et al.

Neural Computing and Applications, Journal Year: 2024, Volume and Issue: 36(27), P. 16991 - 17006

Published: June 4, 2024

Language: Английский

Citations

7
IsoMapGen: Framework for early prediction of peak ground acceleration using tripartite feature extraction and gated attention model DOI
Anushka Joshi, Pradeep Singh, Balasubramanian Raman

et al.

Computers & Geosciences, Journal Year: 2025, Volume and Issue: unknown, P. 105849 - 105849

Published: Jan. 1, 2025

Language: Английский

Citations

0
Artificial intelligence-based predictive models for shear wave velocity of soils: A comprehensive review DOI Creative Commons
Meghdad Payan, Parviz Asadi,

Amirhossein Jamaldar

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 155, P. 111095 - 111095

Published: May 22, 2025

Language: Английский

Citations

0
Internet of Things Data Processing and Analysis Based on Edge Computing DOI

Junting Liao,

Hui Xie

Published: May 17, 2024

Language: Английский

Citations

2
Research on Statistical Characteristics of Chinese Language Network and Semi-Supervised Document Clustering Algorithm DOI
Shanshan Lu

Published: May 17, 2024

Language: Английский

Citations

1
An Intelligent Visualization Method for Classic and Famous Prescriptions Based on Big Data DOI

Xiangzhu Yan,

Bing Yu

Published: 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

0
Intelligence Evaluation System of Chinese Composition Using Optimal Convolutional Neural Network DOI
Jie Cao

Published: 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