A Semi-Supervised Deep Network Embedding Approach Based on the Neighborhood Structure by Wenmao Wu, Zhizhou Yu, Jieyue He

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Structural and analytical studies on some complexes of Pd2+ ions with asymmetric -dioximes by Daniela Cîrțînă

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Urban Viaduct Structural Health Monitoring: A Review of Wireless Sensor Approaches by Tianli Wang, Tong Cui, Xin Qi, Xintao Huan

“…In this paper, we review the full-chain methods of employing wireless sensor technology for urban viaduct structural health monitoring. By proposing a general wireless structural health monitoring approach as a framework, we first review the sensor types and wireless transmission technologies, then the data processing and modal identification methods, and finally the damage detection methods. …”
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Examining the role of urban form In shaping people's accessibility to opportunities: An exploratory spatial data analysis by Darren Scott, Mark Horner

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Practical concepts for the use of probabilistic methods in the structural analysis and reassessment of existing bridges - presentation of latest research and implementation by Thomas Braml, Christian Kainz

“…Structure-specific partial safety factors include measured data and can be used for the well-known and in the codes established semi-probabilistic design concept. …”
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Decomposing the Sri Lanka Yield Curve Using Principal Component Analysis to Examine the Term Structure of the Interest Rate by K P N Sanjeewa Dayarathne, Uthayasanker Thayasivam

“…Our analysis encompasses data spanning from January 2010 to August 2022. The study applied several PCA variants such as multivariate PCA, Randomized PCA, Incremental PCA, Sparse PCA, Functional PCA, and Kernel PCA on smoothed data. …”
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On a data model associated with antitrust behaviors by Weiguang Zhou, Guangxin Wang, Jixiao Lu, Hongxin Ruan, Jun Wang, Rui Zhang

Subjects: “…data analysis…”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…ObjectiveStructural parameter identification based on swarm intelligent optimization methods has become one of the popular methods for finite element model modification. …”
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Index-Based Neural Network Framework for Truss Structural Analysis via a Mechanics-Informed Augmented Lagrangian Approach by Hyeonju Ha, Sudeok Shon, Seungjae Lee

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Analysis of aeromagnetic data for interpretation of seismicity at Fayoum-Cairo area, Egypt by Ahmed Bakr Khalil, Mostafa Toni, Awad Hassoup, Khamis Mansour

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Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank Kriging by Chun-Han Chang, Stefano Sfarra, Nan-Jung Hsu, Yuan Yao

“…The study focuses on reducing noise and nonstationary backgrounds in data collected through active infrared thermography (AIRT) for defect detection in materials. …”
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Structured-illumination reflectance imaging for the evaluation of microorganism contamination in pork: effects of spectral and imaging features on its prediction performance by Binjing Zhou, Xiaohua Liu, Yan Ge, Kang Tu, Jing Peng, Juan Francisco García-Martín, Jie Wu, Weijie Lan, Leiqing Pan

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Quantitative analysis of EXAFS data sets using deep reinforcement learning by Eun-Suk Jeong, In-Hui Hwang, Sang-Wook Han

“…The deep RL method effectively determined the local structural properties of PtOx and Zn-O complexes by fitting a series of EXAFS data sets to theoretical EXAFS calculations without imposing specific constraints. …”
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MonteCarloSEM: An R Package to Simulate Data for SEM by Fatih Orçan

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Manufacturing cycle prediction using structural equation model toward industrial early warning system simulation: The Indonesian case by Tirta Wisnu Permana, Gatot Yudoko, Eko Agus Prasetio

“…Specifically, it investigates the relationships among CLIs to forecast Indonesia's Manufacturing Cycle (ManC) using Partial Least Squares-Structural Equation Modeling (PLS-SEM).Building on an extensive literature review, the study employs quarterly data spanning from Q1 2010 to Q2 2022, incorporating five constructs representing key economic sectors influencing the manufacturing cycle. …”
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Editorial: Approaches to improve the performance of virtual screening: scoring functions, structural filtration, prediction of physicochemical properties/pharmacological activity by Hélcio Silva Dos Santos, Hélcio Silva Dos Santos, Hélcio Silva Dos Santos, Alexander Veselovsky, Dmitry Nilov

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Review Condition of Fitness Clubs in Ardabil from the Perspective of Safety and Security by Mohammad Sadeg Ojeh, Nasrin Azizian Kohan

“…Non-structural safety considerations: Ventilation and thermostats-average/Guides and signs-average/Medium light and sound systems/Parking and amenities-weak. …”
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WCN24-987 ORGANIZATION AND STRUCTURES FOR DETECTION AND MONITORING OF CHRONIC KIDNEY DISEASE ACROSS WORLD COUNTRIES AND REGIONS: AN OBSERVATIONAL DATA FROM GLOBAL SURVEY by Somkanya Tungsanga, Winston Fung, Ikechi G. Okpechi, Feng Ye, Philip Kam-Tao Li, Anukul Ghimire, Jo-Ann Donner, Aminu K. Bello

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Crashworthiness performance of the designed concave hexagonal structures as filler element in cylindrical shells in multiple load cases by Andre Hartawan Mettanadi, Aditya Rio Prabowo, Bambang Kusharjanta, Fajar Budi Laksono, Haris Nubli

“…The greater the energy absorption by the crash safety structure, the greater the safety in preventing deformation of the main structure due to impact. …”
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Utility of UAS-LIDAR for estimating forest structural attributes of the Miombo woodlands in Zambia. by Hastings Shamaoma, Paxie W Chirwa, Jules C Zekeng, Abel Ramoelo, Andrew T Hudak, F Handavu, Stephen Syampungani

“…The estimation of forest structural data in area-based forest inventories relies on the relationship between field-based estimates of forest structural attributes (FSA) and lidar-derived metrics at plot level, which can be modeled using either parametric or non-parametric regression techniques. …”
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