Data-driven and physics-constrained acoustic holography based on optimizer unrolling by Pagavino Manuel, Zotter Franz

“…NAH obtains images of structural vibrations to analyze the underlying acoustic phenomena. …”
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Machine learning for experimental design of ultrafast electron diffraction by Mohammad Shaaban, Sami El-Borgi, Aravind Krishnamoorthy

“…By building on CNN’s ability to learn compressed representations of diffraction patterns that map to distinct material dynamics, we construct Convolutional Variational Autoencoder models to track structural phase transformation in a model material system through the time trajectory of UED images in the low-dimensional latent space. …”
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Matching Game Preferences Through Dialogical Large Language Models: A Perspective by Renaud Fabre, Daniel Egret, Patrice Bellot

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Advanced 3D Artistic Image Generation with VAE-SDFCycleGAN by Dorcas Oladayo Esan, Pius Adewale Owolawi, Chunling Tu

“…The model produced a peak signal noise ratio (PSNR) of 31.35, mean square error (MSE) of 65.32, and structural similarity index measure (SSIM) of 0.772 which indicates the improved quality of the generated images. …”
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DFT studies of the role of anion variation in physical properties of Cs2NaTlBr6−xClx (x = 0, 1, 2, 3, 4, 5 and 6) mixed halide double perovskites for optoelectronics by Mohammed Mehedi Hasan, Nazmul Hasan, Alamgir Kabir

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Mechanistic insight for T-cell exclusion by cancer-associated fibroblasts in human lung cancer by Joseph Ackermann, Chiara Bernard, Philemon Sirven, Helene Salmon, Massimiliano Fraldi, Martine D Ben Amar

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Spatiotemporal Evolution of Urban Driving Factors and Seasonal Heat Island Response from the Perspective of Local Climate Zones: A Case Study of Xiamen City, China by Jinxin Wang, Liangliang Sheng, Tao Li

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Endodontic treatment of a two-rooted mandibular first premolar with four root canals: a case report by Peiling Hu, Shuang Feng, Xin Li, Guangwen Li, Shiting Li

“…Identifying the complete structure of the root canal system to ensure that all root canals are perfectly cleared and filled becomes critical to the success of root canal therapy. …”
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STGLR: A Spacecraft Anomaly Detection Method Based on Spatio-Temporal Graph Learning by Yi Lai, Ye Zhu, Li Li, Qing Lan, Yizheng Zuo

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Integrating Metaheuristics and Machine Learning for Enhanced Vehicle Routing: A Comparative Study of Hyperheuristic and VAE-Based Approaches by Kassem Danach, Louai Saker, Hassan Harb

“…This study addresses the optimization of the Vehicle Routing Problem (VRP) with prioritized customers by introducing and comparing two advanced solution approaches: a metaheuristic-based hyperheuristic framework and a Variational Autoencoder (VAE)-based hyperheuristic. …”
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Exploring the chemical space of ionic liquids for CO2 dissolution through generative machine learning models by Xiuxian Chen, Guzhong Chen, Kunchi Xie, Jie Cheng, Jiahui Chen, Zhen Song, Zhiwen Qi

“…Lastly, the PSO algorithm is employed to search the latent space for optimal IL structures with the highest predicted solubility. A total of 5120 ILs are generated and optimized through 10 parallel runs of PSO. …”
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Bearing fault diagnosis based on improved DenseNet for chemical equipment by Wu Huiyong, Jiang Kuan, Wang Yanyu

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Spatially distributed gradient-based calibration and parametric sensitivity of a spatialized hydrological model over 235 French catchments by Pierre-André Garambois, François Colleoni, Ngo Nghi Truyen Huynh, Ahmad Akhtari, Ngoc Bao Nguyen, Apolline El-Baz, Maxime Jay-Allemand, Pierre Javelle

“…New hydrological insights for the regions:: Under varying hydrological conditions, the GR4-like structure outperforms a simpler 3-parameter model in terms of robustness and accuracy. …”
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Plasma Dynamics and Electron Transport in a Hall-Thruster-Representative Configuration with Various Propellants: II—Effects of the Magnetic Field Topology by Maryam Reza, Farbod Faraji, Aaron Knoll

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Plasma state monitoring and disruption characterization using multimodal VAEs by Yoeri Poels, Alessandro Pau, Christian Donner, Giulio Romanelli, Olivier Sauter, Cristina Venturini, Vlado Menkovski, the TCV Team, the WPTE Team

“…Specifically, we use a latent variable model to represent diagnostic measurements as a low-dimensional, latent representation. We build upon the Variational Autoencoder framework, and extend it for (1) continuous projections of plasma trajectories; (2) a multimodal structure to separate operating regimes; and (3) separation with respect to disruptive regimes. …”
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Bordetella pertussis exhibits genomic diversity within patients and laboratory culture by E. Bouda, Y. Peng, M. M. Williams, P. K. Cassiday, T. H. Skoff, H. Ju, H. Fueston, D. Kurien, D. Morales, M. Cole, E. A. Travanty, D. Santoro, P. M. Snippes Vagnone, K. Mitchell, M. Martinez, Y. Unoarumhi, M. Bentz, S. Nobles, J. Heuser, M. L. Tondella, L. C. Pawloski, M. R. Weigand

“…ABSTRACT Over the past decade, genomic characterization of Bordetella pertussis isolates recovered from US pertussis patients has unveiled noteworthy structural gene order variations. Whole-genome sequencing (WGS) shows that although B. pertussis exhibits little gene sequence variation, genomes from clinical isolates frequently differ in gene order through rearrangement between insertion sequence elements. …”
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Axial load induced vibrational changes in nonlocal stress-driven beams by Indronil Devnath, Mohammad Nazmul Islam

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Climate Adaptability Analysis of Traditional Dwellings in Mountain Terraced Areas: A Case Study of ‘Mushroom Houses’ in the Hani Terraces of Yunnan, China by Luyao Hu, Yinong Liu, Xinkai Li, Pengbo Yan

“…By analyzing 30 years of meteorological data, the study identifies the local climatic characteristics of high temperatures, high humidity, and significant diurnal temperature variations. The thermal comfort voting method was used to establish a quantitative relationship between the Physiological Equivalent Temperature (PET) index and residents’ subjective thermal perceptions, thereby assessing seasonal variations in thermal comfort. …”
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A Robust Kalman Filter for Heavy-Tailed Measurement Noise Based on Gamma Pearson VII Mixture Distribution by Shen Liang, Guoliang Xu, Zhenmei Qin

“…This innovative methodology synthesizes Gaussian morphological properties with Gamma’s supplementary parameters within the Pearson VII structural framework, establishing a unified probabilistic modeling paradigm. …”
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Virtual Electroencephalogram Acquisition: A Review on Electroencephalogram Generative Methods by Zhishui You, Yuzhu Guo, Xiulei Zhang, Yifan Zhao

“…Special emphasis is placed on their practical utility in augmenting EEG data. The structural designs and performance metrics of the different generative approaches in various application domains have been meticulously dissected and discussed. …”
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