Design of Network Security Anomaly Detection Model Based on SLNA Cell Structure by Guiling Fan, Shaojun Chen

“…The experimental results revealed that the stable layer normalized attention unit structure could effectively prevent the occurrence of floating point overflow phenomenon in the process of data processing, and only about 620 rounds to achieve convergence, distillation structure of the student neural network fitting degree reaches more than 98%. …”
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The geological structures of the Pyrenees and their peripheral basins examined through EMAG2v2 magnetic data by Á. Gamisel-Muzás, Á. Gamisel-Muzás, R. Soto, C. Ayala, T. Mochales, F. M. Rubio, P. Clariana, C. Rey-Moral, J. Martín-León

“…<p>The major goal of this work is to provide insight into the structural and geological anatomy of the Pyrenees based on the magnetic anomalies and inferred lineaments from Earth Magnetic Anomaly Grid 2 arcmin resolution (EMAG2v2) magnetic data. …”
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Recognition of Underwater Engineering Structures Using CNN Models and Data Expansion on Side-Scan Sonar Images by Xing Du, Yongfu Sun, Yupeng Song, Lifeng Dong, Changfei Tao, Dong Wang

Subjects: “…underwater engineering structures…”
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Capitalizing on the wealth of chemical data in the accretionary structures of aquatic taxa: Opportunities from across the tree of life by Zoë A. Doubleday, Louise Hosking, Jasper Willoughby, Minoli Dias, Natasha Leclerc, Shanie Brault Nikolajew, Melita Peharda, Arieli Tristão Rézio, Clive Trueman

“…Abstract Aquatic organisms are natural data loggers and record chemical variations within hardened accretionary structures like shells and teeth. …”
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Characterization of the tectonic structures on the Tibetan Plateau using gravity anomaly data and an improved edge detection method by Zhixin Xue, Jian Fang, Dongmei Guo, Panpan Zhang

“…Abstract Edge detection plays an important role in interpreting geophysical potential field data and revealing faults, contacts, and other linear tectonic structures. …”
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Detection of Geological Structures in the Gol Gohar Mining Iron Ore Area Using Airborne Magnetic Data by Abdullah Ezam Ahmady, Abdolhamid Ansari, Seyyed Hossein Mojtahedzadeh

Subjects: “…aeromagnetic data…”
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Efficient Probabilistic Modelling of Corrosion Initiation in RC Structures Considering Non-Diffusive Barriers and Censored Data by Guilherme Henrique Rossi Vieira, Ritermayer Monteiro Teixeira, Leila Cristina Meneghetti, Sandoval José Rodrigues Júnior

“…This article presents a probabilistic methodology for assessing corrosion initiation in reinforced concrete structures exposed to chloride ingress. The approach addresses key limitations of conventional analytical models by accounting for non-diffusive barriers and incorporating a rigorous statistical treatment of censored data to mitigate biases introduced by limited simulation durations. …”
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Automated Generation of Geometric FE Models for Timber Structures Using 3D Point Cloud Data by Lin Chen, Liufang Jiang, Haibei Xiong

“…Manual geometric modeling of timber structures is time-intensive and error-prone, impeding efficient structural analysis. …”
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Restoration Study of a Masonry Monumental Building in Thrapsano, Greece by Barbara Charalambidi, Maria E. Stavroulaki, Georgios E. Stavroulakis

“…Advanced numerical simulations, validated through experimental data, were employed to model the pre- and post-retrofit behavior of the structure. …”
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Local Transmissibility-Based Identification of Structural Damage Utilizing Positive Learning Strategies by Oguz Gunes, Burcu Gunes

“…Recent advances in sensor technology, data acquisition, and signal processing have enabled the development of data-driven structural health monitoring (SHM) strategies, offering a powerful alternative or complement to traditional model-based approaches. …”
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STRUCTURE OF SUNDA IN TANGERANG REGENCY AND THE TERRITORY OF USE by Agus Sulaeman

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Methods and Models for Estimating the Maturity of the Innovation Structure by I. A. Brusakova

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Investigation of the Blockchain Structure for Hydroxyapatite-Based Scaffolds by Chernobrovchenko V. S., Dyadyura K. О., Panda A.

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Coding structure of highway engineering information model by LIANG Cai, WANG Changhai

“…Model identification code is the key to the data integration and effective transmission of highway engineering information model from the early stage of design to project construction and operation management, so as to form structured data for integrated management and analysis. …”
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STRUCTURE OF RHYTHMIC GYMNASTICS TRAININGS CENTER IN BRAZIL by Kizzy Fernandes Antualpa, Roberto Rodrigues Paes

“…Finally, data discussion was done, showing similarities and differences between the training centers assessed, always approaching the discussion of the physical structure of these places, and aiming, at the end of the discussion, to focus on the usefulness of these centers for the growth and development of the sport. …”
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FINDING OF OPTIMAL SUBSET STRUCTURE IN THE KNAPSACK PROBLEM by S. V. Chebakov, L. V. Serebryanaya

“…The implementation of this algorithm allows to define the structure of the optimal subset as a union of certain elements of a Pareto layers group into which a initial data set is divided. …”
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The use of vibration characteristic to update the structure model by Pham Xuan Khang

“… Many authors studied algorithms adjusting the structure model based on modal data. This paper proposes an algorithm to detect the structure model using correlation factors between experimental and theoretical modal data in a damage library. …”
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Structure-based rational design of covalent probes by Matthew Holcomb, Manuel Llanos, Althea Hansel-Harris, Stefano Forli

“…In this review, we discuss the role of structure-based design in the discovery and optimization of covalent probes, with a special emphasis on computational methods to leverage structural data.…”
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Selecting the Number of Clusters in Mixture Multigroup Structural Equation Modeling by Andres F. Perez Alonso, Jeroen K. Vermunt, Yves Rosseel, Kim De Roover

“…Behavioral scientists often use Multigroup Structural Equation Modeling (MG-SEM) to compare groups in terms of their latent variables (LVs) relations — also called 'structural relations’. …”
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Collective states in 230Th: band structure by A. I. Levon, G. Graw, Y. Eisermann, R. Hertenberger, N.Yu. Shirikova, A. V. Sushkov, P. G. Thirolf, H.-F. Wirth, N.V. Zamfir

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