Automated Collection Planning for Civilian and Commercial Satellite Imagery, and Definition and Exploitation of the Collection Asset Specification Data Structure by Jeff Secker, Katerina Biron, Dany Dessureault, Pierre Lamontagne, Rodney Rear

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Biomass prediction of Typha latifolia on a paludiculture site by combining structural and spectral features from UAS data by Christina Hellmann, Bernd Bobertz, Fabian Hübner, Nora Köhn, Jürgen Kreyling, Sebastian van der Linden

“…As single UAS surveys offer both structural and spectral information, UAS data will contribute to precise biomass and vegetation monitoring at high spatial resolution in upcoming rewetting efforts.…”
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Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sitesZenodo by W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi

“…A total of 35 LiDAR metrics were calculated, of which 28 represent vegetation structural attributes. These include vegetation height (seven metrics), vegetation cover (fourteen metrics), and vegetation vertical variability (seven metrics). …”
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Structural mapping for groundwater occurrence using remote sensing and geophysical data in Ilesha Schist Belt, Southwestern Nigeria by Stephen Olubusola Ilugbo, Isaac Aigbedion, Kesyton Oyamenda Ozegin

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Physics-Based AI-Driven Surrogate Modeling for Structural Displacement Prediction in Mechanical Systems With Limited Sensor Data by Ali Hashemi, Javad Beheshti, Mahdieh Mohammadi

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Gaussian Process Regression (GPR)-based missing data imputation and its uses for bridge structural health monitoring by Matteo Dalmasso, Marco Civera, Valerio De Biagi, Bernardino Chiaia

“…Abstract Structural health monitoring (SHM) apparatuses rely on continuous measurement and analysis to assess the safety condition of a target system. …”
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Structuring data analysis projects in the Open Science era with Kerblam! [version 1; peer review: 2 approved] by Federico Alessandro Ruffinatti, Luca Munaron, Luca Visentin

“…Background Structuring data analysis projects, that is, defining the layout of files and folders needed to analyze data using existing tools and novel code, largely follows personal preferences. …”
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Integrated structural analysis for geothermal exploration: A new protocol combining remote sensing and aeromagnetic geophysical data by Jawad Rafiq, Israa S. Abu-Mahfouz, Konstantinos Chavanidis, Pantelis Soupios

“…The approach integrates surface data from remote sensing and data from airborne magnetic geophysical surveys that provide information on the subsurface structures, to analyze structural lineament density analysis, orientation, and high permeable zones, and assess geothermal potential. …”
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Debiasing Structure Function Estimates from Sparse Time Series of the Solar Wind: A Data-driven Approach by Daniel Wrench, Tulasi N. Parashar

“…Structure functions (SFs), which quantify the moments of increments of a stochastic process, are essential complementary statistics to power spectra for analyzing the self-similar behavior of a time series. …”
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Grain Protein Function Prediction Based on CNN and Residual Attention Mechanism with AlphaFold2 Structure Data by Jing Liu, Xinping Zhang, Kai Huang, Yuqi Wei, Xiao Guan

“…The experimental results indicate that secondary structure and spatial structure information contribute to improving model performance. …”
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Multi-stage hashing network storage structure for intelligent routing by Feng ZHU, Qun HUANG

“…Network data collection and storage are fundamental for intelligent routing control,providing massive flow data for model training and decision-making.However,as the key device in network storage system,switches have very limited memory size and design flexibility,which can’t satisfy the needs of intelligent routing control for comprehensive high-precision data and lightweight storage system,thus reducing the effectiveness of intelligent routing control.A multi-stage hashing network storage structure (MHNSS) was proposed for intelligent routing control,which fully utilized the limited memory resource of switch and completed network data storage with low collision rate.The number of candidate buckets of the flow key was augmented by multi-stage hash table,thus reducing collision rate and improving memory load ratio.Hash collision was resolved via coarse-grained timestamp LRU algorithm,which always stored most recently used data and cleared least recently used data to avoid subsequent collisions as far as possible.Trace-driven experiments showed that compared with widely used single hash table,MHNSS had significant performance advantage in collision rate and load ratio.…”
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Generation of Structural Components for Indoor Spaces from Point Clouds by Junhyuk Lee, Yutaka Ohtake, Takashi Nakano, Daisuke Sato

“…Currently, particularly in data-driven modeling methods, data preprocessing for dividing structural components and nonstructural components is required before modeling. …”
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Analysis of the structure of palliative pathology in children of the Voronezh region in 2021 by Yu. Yu. Razuvaeva, V. S. Ledneva, L. V. Ulyanova

“…In the Voronezh region, the largest number of patients with palliative pathology is located in the Novousmansky district, which can be attributed to the immediate proximity of the district to the city. According to the structure of the detected palliative pathologies, non-oncological diseases prevail in children of the Voronezh region, which is compared with statistical data for Russia. …”
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Firm Value in Profitability, Leverage, Capital Structure, and Firm Growth by Sonnia Dea Larasati, Chintia Betharia

“…Abstract Purpose - This research was conducted to determine and explain how profitability, leverage, capital structure, and company growth can affect firm value. …”
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Tracking Biosecurity Through the Diversity and Network Structure of International Trade by Kong-Wah Sing, Rachel Peden, Damien Hicks

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LUOJIA Explorer PMS: Panoramic Odometry and Mapping with Structural Information by Y. Xu, Y. Xu, Y. Xu, C. Chen, C. Chen, C. Chen, B. Yang, B. Yang, B. Yang, L. Li, Z. Wang, Z. Wang, Z. Wang, S. Sun, S. Sun, S. Sun, Z. Yan, Z. Yan, Z. Yan, S. Wu, S. Wu, S. Wu

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From speech signal to syntactic structure: A computational implementation by Tina Bögel, Tianyi Zhao

“…The system is showcased by means of syntactically ambiguous structures in German which can be disambiguated based on prosodic constituency information. …”
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Structural Health Monitoring under Nonlinear Environmental or Operational Influences by Jyrki Kullaa

“…Vibration-based structural health monitoring is based on detecting changes in the dynamic characteristics of the structure. …”
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Interoperability Structure of Smart Water Conservancy Based on Internet of Things by SongSong Wang, Ouguan Xu

“…Massive smart water conservancy object (WCO) need to be connected for real-time monitoring and control, which produces massive data. Unfortunately, heterogeneous data structures and semantics lead to low interoperability between WCO and management systems. …”
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FARM SIZE AND SPECIALIZATION STRUCTURE IN THE EUROPEAN COUNTRIES IN THE YEAR 2020 by Cosmina SMEDESCU, Marius Mihai MICU, Valentina Constanța TUDOR

“…The purpose of this article is to analyze the evolution of the areas cultivated in the conventional system, comparing the data at European and at the national level. With a solid foundation in analyzing data obtained from various agricultural organizations, this study aims to elucidate current trends and provide an in-depth understanding of how conventional agriculture is changing. …”
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