Composite Bayesian Optimization in function spaces using NEON—Neural Epistemic Operator Networks by Leonardo Ferreira Guilhoto, Paris Perdikaris

“…Abstract Operator learning is a rising field of scientific computing where inputs or outputs of a machine learning model are functions defined in infinite-dimensional spaces. …”
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Triple Hierarchical Variational Inequalities with Constraints of Mixed Equilibria, Variational Inequalities, Convex Minimization, and Hierarchical Fixed Point Problems by Lu-Chuan Ceng, Cheng-Wen Liao, Chin-Tzong Pang, Ching-Feng Wen

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Optimum Scheduling the Electric Distribution Substations with a Case Study: An Integer Gaining-Sharing Knowledge-Based Metaheuristic Algorithm by Said Ali Hassan, Khalid Alnowibet, Prachi Agrawal, Ali Wagdy Mohamed

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Thiophene-fused aromatic belts by Hiroki Shudo, Philipp Wiesener, Elena Kolodzeiski, Kiichi Mizukami, Daiki Imoto, Harry Mönig, Saeed Amirjalayer, Hirotoshi Sakamoto, Henning Klaasen, Bart Jan Ravoo, Nobuo Kimizuka, Akiko Yagi, Kenichiro Itami

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Solving Spatial Optimization Problems via Lagrangian Relaxation and Automatic Gradient Computation by Zhen Lei, Ting L. Lei

“…As such, the human expert only needs to implement the Lagrangian problem in a scientific computing language (such as Python), and the system can find the (sub)gradients of this code, even if it contains complex loops and conditional statements. …”
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A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System by Guijun Han, Xinrong Wu, Shaoqing Zhang, Zhengyu Liu, Ionel Michael Navon, Wei Li

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Using Gap Visualization to Navigate Multivariate Metabarcode Data, Select Primer Pairs, and Enhance Reference Data Quality by Xin‐Yi Chua, Louise Ord, Stephen J. Bent, David Lovell, Annette McGrath

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Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs by Linh Ha, Marcel Prastawa, Guido Gerig, John H. Gilmore, Cláudio T. Silva, Sarang Joshi

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Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

“…Linear algebra operations play an important role in scientific computing and data analysis. With increasing data volume and complexity in the "Big Data" era, linear algebra operations are important tools to process massive datasets. …”
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Baroclinic instability from an experimental perspective by Harlander, Uwe, Kurgansky, Michael V., Speer, Kevin, Vincze, Miklos

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Accuracy of an articulated head-and-neck motion model using deep learning-based instance segmentation of skeletal bones in CT scans for image registration in radiotherapy by Alexandra Walter, Cornelius J. Bauer, Ama Katseena Yawson, Philipp Hoegen-Saßmannshausen, Sebastian Adeberg, Jürgen Debus, Oliver Jäkel, Martin Frank, Kristina Giske

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A Novel Numerical Treatment to One Dimensional Heat and Wave Equations with Second Order Accuracy by Muhammad Abid, Muhammad Shahid

“…Numerical solutions to partial differential equations (PDEs) play a vital role in modeling complex physical phenomena across scientific computing and engineering disciplines. Achieving stable, accurate solutions requires careful selection of numerical methods and parameters. …”
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Influenza Immunization in Very-Low-Birth-Weight Infants: Epidemiology and Long-Term Outcomes by Marie-Theres Dammann, Hannah Kraft, Guido Stichtenoth, Kathrin Hanke, Michael Zemlin, Janina Soler Wenglein, Isabell Ricklefs, Alexander Herz, Alexander Humberg, Dorothee Viemann, Geraldine Engels, Matthias Volkmar Kopp, Folke Brinkmann, Carsten Fortmann-Grote, Wolfgang Göpel, Egbert Herting, Christoph Härtel, Ingmar Fortmann, on behalf of the German Neonatal Network

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Advanced Fractional Mathematics, Fractional Calculus, Algorithms and Artificial Intelligence with Applications in Complex Chaotic Systems by Dumitru Baleanu, Yeliz Karaca

“…Therefore, mathematical modeling and scientific computing are among the chief tools to solve the challenges and problems related to complex and chaotic systems through innovative ways ascribed to data science with a precisely tailored approach which can examine the data applied. …”
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Piloting an automated query and scoring system to facilitate APDS patient identification from health systems by Amy M. FitzPatrick, Aaron T. Chin, Sharon Nirenberg, Charlotte Cunningham-Rundles, Keith Sacco, Jesse Perlmutter, Joseph F. Dasso, Athanasios Tsalatsanis, Jay Maru, Jessica Creech, Jolan E. Walter, Nicholas Hartog, Neema Izadi, Mandy Palmucci, Manish J. Butte, Klaus Loewy, Anurag Relan, Nicholas L. Rider

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Artificial Intelligence in Science and Society: The Vision of USERN by Tommaso Dorigo, Gary D. Brown, Carlo Casonato, Artemi Cerda, Joseph Ciarrochi, Mauro da Lio, Nicole D'Souza, Nicolas R. Gauger, Steven C. Hayes, Stefan G. Hofmann, Robert Johansson, Marcus Liwicki, Fabien Lotte, Juan J. Nieto, Giulia Olivato, Peter Parnes, George Perry, Alice Plebe, Idupulapati M. Rao, Nima Rezaei, Fredrik Sandin, Andrey Ustyuzhanin, Giorgio Vallortigara, Pietro Vischia, Niloufar Yazdanpanah

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Modeling shrimp biomass and viral infection for production of biological countermeasures by H. Thomas Banks, V. A. Bokil, Shuhua Hu, A. K. Dhar, R. A. Bullis, C. L. Browdy, F.C.T. Allnutt

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A comparison of computational efficiencies of stochastic algorithms in terms of two infection models by H. Thomas Banks, Shuhua Hu, Michele Joyner, Anna Broido, Brandi Canter, Kaitlyn Gayvert, Kathryn Link

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The estimation of the effective reproductive number from disease outbreak data by Ariel Cintrón-Arias, Carlos Castillo-Chávez, Luís M. A. Bettencourt, Alun L. Lloyd, H. T. Banks

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Dynamic Multidrug Therapies for HIV: Optimal and STI Control Approaches by B. M. Adams, H. T. Banks, Hee-Dae Kwon, Hien T. Tran

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