Retracted: Internet of Things Health Detection System in Steel Structure Construction Management by Qinglin Liu, Yongjiang Zhu, Xiongzhou Yuan, Jian Zhang, Rui Wu, Qianwen Dou, Song Liu

“…It is concluded that the time series model established in this study can objectively reflect the change trend and law of strain data, has certain prediction accuracy, and has certain value significance for monitoring data analysis and construction management of steel building structures.…”
Get full text

Intelligent Identification of Structural Damage Based on the Curvature Mode and Wavelet Analysis Theory by Longsheng Bao, Yue Cao, Xiaowei Zhang

“…Data fitting is then performed to estimate the degree of structural damage. …”
Get full text

Predictive modeling of visible-light azo-photoswitches’ properties using structural features by Said Byadi, P. K. Hashim, Pavel Sidorov

“…Abstract In this manuscript we present the strategy for modeling photoswitch properties (maximum absorption wavelength and thermal half-life of photoisomers) of visible-light azo-photoswitches using structural data. We compile a comprehensive data set from literature sources and perform a rigorous benchmark to select the best feature type and modeling approach. …”
Get full text

Super-resolution mapping of anisotropic tissue structure with diffusion MRI and deep learning by Alfredo Ordinola, David Abramian, Magnus Herberthson, Anders Eklund, Evren Özarslan

Get full text

Predictive Technology Assessment by Means of a Structure-Based Method of Machine Learning by Manja Mai-Ly PFAFF, Uwe FRIEß, Andreas OTTO, Matthias PUTZ

“…Based on this algorithm, correlation considerations can be performed on the data structure, the measured variables, and the diagnostic parameters. …”
Get full text

Structural Constraints in Current Stomatal Conductance Models Preclude Accurate Prediction of Evapotranspiration by Pushpendra Raghav, Mukesh Kumar, Yanlan Liu

“…In contrast, a ML approach, wherein the model structure is learned from the data, outperforms traditional models, thus highlighting that there still is significant room for improvement in the structure of traditional models for predicting ET. …”
Get full text

Enhancing structural health monitoring with machine learning for accurate prediction of retrofitting effects by A. Presno Vélez, M. Z. Fernández Muñiz, J. L. Fernández Martínez

“…This research aimed to develop a methodology for training an artificial intelligence (AI) system to predict the effects of retrofitting on civil structures, using data from the KW51 bridge (Leuven). …”
Get full text

Multi-temporal crack segmentation in concrete structures using deep learning approaches by S. Harb, P. Achanccaray Diaz, M. Maboudi, M. Gerke

“…These results suggest that temporal information significantly improves the performance of segmentation models, offering a promising solution for improved crack identification and long-term monitoring of concrete structures, even with limited sequential data.…”
Get full text

The Historical Evolution and Significance of Multiple Sequence Alignment in Molecular Structure and Function Prediction by Chenyue Zhang, Qinxin Wang, Yiyang Li, Anqi Teng, Gang Hu, Qiqige Wuyun, Wei Zheng

Get full text

Calculation of Water Saturation of Dolomite Reservoir Based on Multi-Pore Structure Model by Xinzhong Qi, Xingneng Wu, Yong Ai, Ruokun Huang, Wenxing Duan, Yaqi Liu

“…The total conductivity of the rock is established by the parallel combination of the effective components to establish the porous structure response equation, the equation is fitted by the rock electrical experimental data, and the parameters such as the fracture porosity index (mj) and the interconnected void porosity (ml) are calculated. …”
Get full text

Robust and automatic modeling of tunnel structures based on terrestrial laser scanning measurement by Xiangyang Xu, Hao Yang, Boris Kargoll

“…The terrestrial laser scanning technology is increasingly applied in the deformation monitoring of tunnel structures. However, outliers and data gaps in the terrestrial laser scanning point cloud data have a deteriorating effect on the model reconstruction. …”
Get full text

THE METHOD OF ADAPTIVE STATISTICAL CODING TAKING INTO ACCOUNT THE STRUCTURAL FEATURES OF VIDEO IMAGES by Volodymyr Barannik, Dmytro Havrylov, Serhii Pantas, Yurii Tsimura, Tatayna Belikova, Rimma Viedienieva, Vasyl Kryshtal

“…To reduce the output volume, the RLE algorithm and integral arithmetic coding are adapted to the new structure of the input data. Thus, the method of linearization of two-dimensional transformants based on zig-zag scanning was further developed. …”
Get full text

From sequence to protein structure and conformational dynamics with artificial intelligence/machine learning by Alexander M. Ille, Emily Anas, Michael B. Mathews, Stephen K. Burley

“…The 2024 Nobel Prize in Chemistry was awarded in part for de novo protein structure prediction using AlphaFold2, an artificial intelligence/machine learning (AI/ML) model trained on vast amounts of sequence and three-dimensional structure data. …”
Get full text

Dispersive surface free energy of adsorbents modified by supramolecular structures of heterocyclic compounds by Vladimir Yu. Guskov, Yulia Yu. Gainullina, Alina F. Gabdulmanova, Albina N. Gareeva

“…It was shown that the changes in dispersive surface free energy as a result of the modification correlate well with data on the structure and properties of supramolecular ensembles of the modifiers used. …”
Get full text

Synthesis and structural study of the Linde Type-A zeolite prepared from kaolinite by Szilvia Ormándi, István Dódony

“…The measured hkl and intensity data sets are the inputs for structure determination. …”
Get full text

Deep nested U-structure network with frequency attention for building semantic segmentation by Khaled Moghalles, Zaid Al-Huda, Dalal AL-Alimi, Yeong Hyeon Gu, Mugahed A. Al-antari

“…We have introduced a novel approach to address these issues: an end-to-end residual U-structure embedded within a U-Net, enhanced by a frequency attention module and a hybrid loss function. …”
Get full text

Empowering traditional weaving artisans through development communication structures in TTS regency by Agus Kuncoro, Sumardjo Sumardjo, Champion P Lubis, Ivanovich Agusta

“…This study used secondary data. Researchers use dissertations, scientific journals, the internet, and data from related agencies to gather this data. …”
Get full text

Local Scouring Visualization of Bed Channel Surface in Hydraulic Structure Using Surfer by Tifarah Dayansabila Paramadita, Nadia Azarine, Aburizal Azhar, Didit Puji Riyanto

Get full text

Spearman Rank Correlation PCA for Mixed Scale Indicator in Structural Equation Modeling by Lisa Asaliontin, Eni Sumarminingsih, Solimun Solimun, Mohammad Ohid Ullah

“…Structural Equation Modeling (SEM) is a statistical modeling technique that integrates measurement models and structural models simultaneously. …”
Get full text

Lightweight dynamic model for fusion of three-dimensional surface-stratum underground structures. by Cuiying Zhou, Yusen Zhong, Ziyu Tao, Chunhui Lan, Wei Hu, Zhen Liu

“…However, the heterogeneity of surface, stratigraphic and structural data sources and modeling methods leads to incompatibility of model attributes. …”
Get full text