Improving the performance of damage repair in thin-walled structures with analytical data and machine learning algorithms by Abdul Aabid, Md Abdul Raheman, Meftah Hrairi, Muneer Baig

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GEODYNAMIC ACTIVITY OF MODERN STRUCTURES AND TECTONIC STRESS FIELDS IN NORTHEAST ASIA by L. P. Imaeva, G. S. Gusev, V. S. Imaev, S. V. Ashurkov, V. I. Melnikova, A. I. Seredkina

Subjects: “…parageneses of active structures…”
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TS-WRSVM: twin structural weighted relaxed support vector machine by Fatemeh Sheykh Mohammadi, Ali Amiri

Subjects: “…imbalanced data classification…”
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Cross-Filter Structured Pruning for Efficient Sparse CNN Acceleration by Ngoc-Son Pham, Sangwon Shin, Lei Xu, Weidong Shi, Taeweon Suh

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DEEP STRUCTURE OF THE ALTAI MOUNTAINS AND MODERN GRAVITY FIELD MODELS by V. Yu. Timofeev, D. G. Ardyukov, D. N. Goldobin, A. V. Timofeev, D. A. Nosov, I. S. Sizikov, E. N. Kalish, Yu. F. Stus

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Assessing the harmonization of structured electronic health record data to reference terminologies and data completeness through data provenance by Keith Marsolo, Lesley Curtis, Laura Qualls, Jennifer Xu, Yinghong Zhang, Thomas Phillips, C. Larry Hill, Gretchen Sanders, Judith C. Maro, Daniel Kiernan, Christine Draper, Kevin Coughlin, Sarah K. Dutcher, José J. Hernández‐Muñoz, Monique Falconer

“…Abstract Introduction (1) Assess the harmonization of structured electronic health record data (laboratory results and medications) to reference terminologies and characterize the severity of issues. (2) Identify issues of data completeness by comparing complementary data domains, stratifying by time, care setting, and provenance. …”
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Structural investigations of Yuli Geothermal field in Nigeria using gravity and magnetic data-set by Mukaila Abdullahi, Yusufu Abubakar Sanusi, Ibrahim Nihyel Tashiwa

Subjects: “…Aeromagnetic data…”
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Symmetry-Based Data Augmentation Method for Deep Learning-Based Structural Damage Identification by Long Li, Xiaoming Tao, Hui Song, Xiaolong Li, Zhilong Ye, Yao Jin, Qiuyu He, Shiyin Wei, Wenli Chen

Subjects: “…structural health monitoring…”
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Quantifying Tree Structural Change in an African Savanna by Utilizing Multi-Temporal TLS Data by Tasiyiwa Priscilla Muumbe, Jussi Baade, Pasi Raumonen, Corli Coetsee, Jenia Singh, Christiane Schmullius

“…Structural changes in savanna trees vary spatially and temporally because of both biotic and abiotic drivers, as well as the complex interactions between them. …”
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Structural Damage Identification Method of Girder Bridges Based on Multilevel Data Fusion Theory by Chang-Sheng Xiang, Hai-Long Liu, Yu Zhou, Chen-Yu Liu, Li-Xian Wang

“…The first three order modes data of each index are fused in the first level, and their results are further fused between indexes in the second level, which will be applied for damage position judgement; moreover, results of the second level as input are last fused in the third level in order to predict structural damage degree. …”
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RETRACTED: Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring by Nan Xu, Zhiming Zhang, Yongming Liu

“…Structural Health Monitoring requires the continuous assessment of a structure’s operational conditions, which involves the collection and analysis of a large amount of data in both spatial and temporal domains. …”
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Atypical structural tendencies among low-complexity domains in the Protein Data Bank proteome. by Sean M Cascarina, Mikaela R Elder, Eric D Ross

“…A variety of studies have suggested that low-complexity domains (LCDs) tend to be intrinsically disordered and are relatively rare within structured proteins in the Protein Data Bank (PDB). …”
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Analyzing the function of metaverse technology in the retention and absorption of knowledge using the integrated approach of interpretive structural modeling and structural equatio... by Seyed Mojtaba Hosseinibamakan, Hajar Soleymanizadeh, Mehran Ziaeian

“…This problem affects the validity of interpretive structural modeling approach. To solve this problem and in order to validate the presented model resulting from the interpretive structural modeling approach, the structural equation modeling approach and Smart PLS software were used. …”
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Local Structural Indices Changes During Different Periods of Postherpetic Neuralgia: A Graphical Study in Structural Covariance Networks by Xiong J, Gu L, Jiang X, Kuang H, Lv H, Li Z, Xie Y, Luo Q, Jiang J

“…Eglobal and Lp can be considered as potential imaging markers for future clinical restaging of PHN.Keywords: herpes zoster, postherpetic neuralgia, structural covariance network, graph theory, small world, cortical thickness…”
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Structure and Key Technologies of Big Data Labeling System for Power Equipment Operation Status by Wenjun LIU, Ming DONG, Yuanfu XU, Qiang HAN, Xin WANG, Lei XU, Ming DU

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Interpretable protein-DNA interactions captured by structure-sequence optimization by Yafan Zhang, Irene Silvernail, Zhuyang Lin, Xingcheng Lin

Subjects: “…data-driven modeling…”
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Structural Fault Detection and Diagnosis for Combine Harvesters: A Critical Review by Haiyang Wang, Liyun Lao, Honglei Zhang, Zhong Tang, Pengfei Qian, Qi He

“…This paper provides a systematic and critical review and analysis of the latest advancements in research on data-driven FDD methods for structural faults in combine harvesters. …”
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Modelling structural relations between financial, social-economic and healthcare factors by Iryna Pozovna, Karolina Hałuszko, Anna Polishchuk

“…To achieve this purpose, we used the following research methods: induction and deduction, analysis and synthesis, comparison and logical generalisation, table and diagram visualisation, observation and assessment, method of principal components, structural modelling. The research data are taken from the World Bank. …”
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An Improved Man-Made Structure Detection Method for Multi-aspect Polarimetric SAR Data by Fabin Dong, Qiang Yin, Wen Hong

“…The comprehensive multiaspect scattering characteristics are valuable for man-made structure detection and classification. Typically, the anisotropic scattering of targets could be characterized by the differences in the statistical properties of polarimetric data across aspects. …”
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A new algorithm by embedding structured data for low-rank tensor ring completion by Ruiping Wen, Tingyan Liu, Yalei Pei

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