Inverse binary optimization of convolutional neural network in active learning efficiently designs nanophotonic structures by Jaehyeon Park, Zhihao Xu, Gyeong-Moon Park, Tengfei Luo, Eungkyu Lee

“…We conduct a benchmarking study of the CNN-based surrogate function within the CNN-IBO framework by optimizing nanophotonic designs (e.g., planar multilayer and stratified grating structure) as a testbed. Our results demonstrate that CNN-IBO achieves optimal designs with fewer actively accumulated training data than FM-QA, indicating its potential as a powerful and efficient method for binary optimization.…”
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A novel approach on laplacian energy of -dominating complex spherical fuzzy graph structures and with application by S. N. Suber Bathusha, S. Angelin Kavitha Raj, Mufti Mahamud, Sowndharya Jayakumar

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Comparison of The Output Power of a Micro Hydroelectric Power Plant with Different PID Control Structures by Ömür Binarbaşi, Batuhan Şenlen, Ahmet Aktaş, Tuğba Aydın Kart

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Investigation of Stress Intensity Factors in Welds of Steel Girders Within Steel–Concrete Composite Structures by Da Wang, Pengxin Zhao, Yuxin Shao, Wenping Peng, Junxin Yang, Chenggong Zhao, Benkun Tan

“…Fatigue damage in steel–concrete composite structures frequently initiates at welded joints due to stress concentrations and inherent defects. …”
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Digital reconstruction of historic roof structures: developing a workflow for a highly automated analysis by Markus Pöchtrager, Gudrun Styhler-Aydın, Marina Döring-Williams, Norbert Pfeifer

“…Thisenablesa highly automated transitionfrom raw point cloud data to a geometric model containing beams of the structural system. …”
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Upper Shallow Foundation Pit Engineering: Utilization and Evaluation of Portal Frame Anti-Heave Structures by Jun He, Jinping Ou, Xiangsheng Chen, Shuya Liu, Kewen Huang, Xu Zhang

“…The roles of portal frame anti-heave structures are analyzed in detail using measured data. …”
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A Decision Support System for Simulating and Predicting the Impacts of Various Tournament Structures on Tournament Outcomes by Khalid Ruzelan, Yusof Muhammad Mat, Rosli Nurzahidah Che, Nawawi Mohd Kamal Mohd

“…The outcomes can be influenced by several factors, such as attack, defence and home advantage strength values, as well as tournament structures. However, the claim that different structures, such as knockout (KO), round-robin (RR) and hybrid structures, have their own time restraints and requirements has limited the evaluation of the best structure for a particular type of sports tournament using quantitative approaches. …”
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An interface-based microscopic model for the failure analysis of masonry structures reinforced with timber retrofit solutions by Fabrizio Greco, Lorenzo Leonetti, Paolo Lonetti, Paolo Nevone Blasi, Arturo Pascuzzo, Giacinto Porco

“…The reliability of the proposed model in reproducing the failure behavior of masonry is assessed through comparisons with experimental and numerical data available in the literature. Additionally, the efficacy of the retrofit technique based on timber frame structures is investigated in detail through pushover analyses on a two-story masonry wall representative of real-life masonry buildings. …”
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Effects of Long-Term Antiglaucoma Eye Drops on Conjunctival Structures: An In Vivo Confocal Microscopy Study by Wenqing Zhu, Xiangmei Kong, Jianjiang Xu, Xinghuai Sun

“…The study was aimed at comparing the long-term effects of different antiglaucoma eye drops on conjunctival structures using laser scanning confocal microscopy. …”
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An Innovative Approach to Estimate Chloride Diffusion Coefficient in Submerged Concrete Structures Using Soft Computing by Seyyed Ali Habibi, Ali Hemmati, Hosein Naderpour

“…Corrosion is one of the most important and common factors in the destruction of structures. Among all kinds of structures, corrosion of submerged structures is of great importance and prevalence due to the impossibility of direct visibility, high reconstruction cost and special environmental conditions. …”
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Prediction on Slip Modulus of Screwed Connection for Timber–Concrete Composite Structures Based on Machine Learning by Wen-Wu Lu, Yu-Wei Chen, Ji-Gang Xu, Hui-Feng Yang, Hao-Tian Tao, Wei Zheng, Ben-Kai Shi

“…Therefore, this study develops machine learning (ML) algorithms to accurately predict the slip modulus. A data set including 222 sets of testing results was established by collecting the values of the slip modulus and associated ten features. …”
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Phylogeography of the Endangered Endemic <i>Perkinsiodendron macgregorii</i> Based on Chloroplast Genome Data by Ming-Hui Yan, Yan-Rong Du, Jia-Yi Zhao, Ke-Xin Xu, Lu Zhao, Jia-Meng Su, Lu-Miao Yan

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Crystallinity Changes in Modified Cellulose Substrates Evidenced by Spectral and X-Ray Diffraction Data by Magdalena-Cristina Stanciu, Fulga Tanasă, Carmen-Alice Teacă

“…Due to their specific methodology, they can be used to analyze not only starting materials and their final products but also intermediates. Data obtained by these methods substantiated the structural changes in cellulose substrates, as well as the alterations that occurred in their supramolecular architectures. …”
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Defining environmentally heterogeneous sites when faced with conservation urgency and scarce in situ data by Tania Garrido-Garduño, Ella Vázquez-Domínguez, Patricia Dávila-Aranda, Rafael Lira-Saade, Maribel Arenas-Navarro, Oswaldo Téllez-Valdés

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Persistent Lagrangian transport patterns in the Black Sea identified from climatological Lagrangian Coherent Structures by Mainara Biazati Gouveia, Elisaveta Peneva, Irina Gancheva, Emil V. Stanev

“…Abstract The quasi-steady Lagrangian transport patterns in the Black Sea are quantified and identified from climatological Lagrangian Coherent Structures. Wind velocity and Earth observation data have been incorporated to illustrate the potential applications of these results. …”
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Mathematical modeling of aerodynamic behavior of antenna-mast structures when designing communication on railway transport by A. A. Loktev, V. V. Korolev, O. I. Poddaeva, K. D. Stepanov, I. Yu. Chernikov

“…According to normative legal documents for structures classified as particularly dangerous, technically complex or as unique objects, it is necessary to additionally determine the aerodynamic coefficients by blowing structures in wind tunnels or by recommendations developed by specialized organizations. …”
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Exploring genetic structures and shared sites between alcohol, cheese intake, and inflammatory bowel disease by Zhifang Huang, Weichao Yuan

“…BackgroundAn association has been observed between alcohol and cheese intake and the onset of inflammatory bowel disease (IBD), necessitating further exploration from a genetic structural perspective.MethodsThe present analysis was focused on the intake of alcohol and cheese in conjunction with IBD genome-wide association study (GWAS) data, with the objective of exploring genetic correlations and identifying common loci. …”
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Compensated beam model for efficient and accurate FE elastic simulation of strut-based lattice structures by Raffaele De Biasi, Mohammad Salman Yasin, Matteo Perini, Matteo Benedetti, Filippo Berto

“…Lattice structures have gained interest across various industries due to their remarkable strength-to-weight ratio and tunable mechanical properties. …”
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Surface Damage Detection in Hydraulic Structures from UAV Images Using Lightweight Neural Networks by Feng Han, Chongshi Gu

“…Timely and accurate identification of surface damage in hydraulic structures is essential for maintaining structural integrity and ensuring operational safety. …”
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Effects of Anthropic Structures on Morphodynamic Beach Evolution along the Gulf of Roses (Northwestern Mediterranean, Spain) by Antoni Calafat, Manel Salvador, Marta Guinau, José L. Casamor

“…The results reveal minor discrepancies in shoreline evolution data, depending on the method used (transects or areas). …”
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