HETEROGENEOUS LITHOSPHERIC STRUCTURE OF THE FENNOSCANDIAN SHIELD: SEISMIC DATA by N. V. Sharov, A. A. Lebedev

“…This provided an opportunity to obtaine quantitative data on the horizontal and vertical heterogeneities of the lithosphere. 3D seismological models were first constructed for the individual parts of the Fennoscandian Shield which show that the crystalline crust structure acquires a block hierarchy pattern, with no persistent seismic boundaries found within the entire shield. …”
Get full text

anomaly: Detection of Anomalous Structure in Time Series Data by Alex Fisch, Daniel Grose, Idris A. Eckley, Paul Fearnhead, Lawrence Bardwell

Get full text

Data structures for deductive simulation of HDL conditional operators by Євгеній Шовковий, Олена Гриньова, Сергій Удовенко, Лариса Чала

Get full text

Deep structure of South Kamchatka according to geophysical data by Yu. F. Moroz, L. I. Gontovaya

“…Comprehensive analysis of the geological and geophysical data shows differences in the structure of the crust and upper mantle in North and South Kamchatka and common features of the deep structures of South Kamchatka and the Kuril Islands. …”
Get full text

How to structure data from an IoT monitoring network by Ziwen Yu

“…This publication discusses the typical attributes in IoT monitoring networks and presents a data structure that outlines best practices in organizing data. …”
Get full text

A Model-driven Approach to Data Structure Conceptualization by Sonja Ristić, Slavica Kordić, Milan Čeliković, Vladimir Dimitrieski, Ivan Luković

Get full text

NMR Data Analysis of Acarbose by LI Yujiang, ZHAO Wei, TAO Le, LU Bohua, ZHENG Guo, ZHANG Haiyan, GUO Xiaohe, ZHAO Tianzeng

“…The molecular structure of acarbose was confirmed, providing a reliable data basis for the safety and quality control of acarbose drugs.…”
Get full text

Reconstructing missing data of damaged buildings from post-hurricane reconnaissance data using XGBoost by Hyunje Yang, Jun-Whan Lee, Steven Klepac, Armando Ulises Santos Cruz, Arthriya Subgranon, Junfeng Jiao

“…For each region, we analyzed the model’s performance depending on the missing structural features. We also demonstrated the importance of including geospatial, hazard, and damage level data by showing improved performance of XGBoost models compared to those trained only on known structural data. …”
Get full text

Structuring a textile knitting dataset for machine learning and data mining applicationsMendeley Data by Toufique Ahmed, Abu Saleh Muhammad Junayed

Get full text

Data of the crystal structure of xylose isomerase from Streptomyces avermitilisProtein Data BankZENODO by Ki Hyun Nam

Subjects: Get full text

Directions of emerging structural changes in the use of biometric data in Russia by N. S. Seliverstova

Subjects: Get full text

Covariate-adjusted functional data analysis for structural health monitoring by Philipp Wittenberg, Lizzie Neumann, Alexander Mendler, Jan Gertheiss

“…Structural health monitoring (SHM) is increasingly applied in civil engineering. …”
Get full text

The Use of Column-Based DBMSS to Form Multidimensional Data Structures by Dmitry Kunitsky, Maxim Fomin

“…The key point in the structure of the information system is the way of transition from the “Data vault” model to a multidimensional model of data representation based on associative rules of dependence between information objects.…”
Get full text

Kernel generalized least squares regression for network-structured data by Edward Antonian, Gareth W. Peters, Michael Chantler

Get full text

Discriminant analysis of Gaussian spatial data with exponential covariance structure by Kęstutis Dučinskas

Get full text

Collaborative Governance Structures for Interoperability in the EU’s new data acts by Jens-Peter Schneider, Johannes Erny, Franka Enderlein, Herwig C.H. Hofmann, Felix Pflücke

Get full text

Connection between nuclear structure, dissipation, and time in fission data by Caamaño M., Ramos D., Fernández D., Mantovani G., Farget F., Rodríguez-Tajes C., Lemasson A., Rejmund M., Schmitt C., Ackermann D., Álvarez-Pol H., Audouin L., Benlliure J., Biswas S., Casarejos E., Clement E., Cortina D., Delaune O., Derkx X., Dijon A., Doré D., Durand D., Frankland J. D., Fernández-Domínguez B., de France G., Fregeau M. O., Galaviz D., Galiana-Baldó E., Heinz A., Henriques A., Jacquot B., Jurado B., Kim Y. H., Morfouace P., Paradela C., Piot J., Ralet D., Roger T., Salsac M. D., Teubig P., Tsekhanovich I.

“…This seemingly mundane property can be used to obtain information about the energy dissipated during the process and the role of structure in its dynamics. In this paper, the study of the even-odd effect for elasticand transfer-induced fission data is discussed. …”
Get full text

Deep Structure of the Middle Urals According to Magnetic and Gravitational Data by Byzov Denis, Martyshko Petr, Fedorova Natalia, Rublev Aleksey

Get full text

DATA PREPARATION METHODS FOR RECOVERING THREE-DIMENSIONAL STRUCTURE OF THE SCENE by Sergey Sergeyevich Taranenko, Oleg Fedorovich Kovalev

“…The problem of data preparation to recover the three-dimensional structure of the scene including points, segments, straight lines, etc., using video obtained from a moving camera around a static scene is considered. …”
Get full text

Crustal structure of the Ulaanbaatar region, Mongolia according to gravimetric data by B. Buyantogtokh, E. Kh. Turutanov, V. S. Kanaikin

“…Based on the medium-scale areal gravimetric survey data, a regional map of Bouguer gravity anomalies was constructed for theUlaanbaatar region, Central Mongolia.Interpreted gravimetric data from the solutions of the inverse problem of gravimetry based on the body-shape selection were used to developthe 3D models showing the largest crustal density inhomogeneities of the study area – the Tolskaya (Ulaanbaatar) basin, Nalaiha depression and Bogdoulin granite massif. …”
Get full text