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Showing 378930 results for "program evaluation"
Mathematics Preprint PDF DOI

Reliability-based Topology Optimization using Large Deviation Theory

Maryam Maghazeh, Ayyappan Unnikrishna Pillai, Mohammad Masiur Rahaman, Subhayan De ยท 2026

Reliability-based topology optimization (RBTO) requires repeated estimation of small failure probabilities and their gradients, making conventional nested Monte Carlo approaches computationally prohibโ€ฆ

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AI & Data Science Preprint PDF DOI

Selective Augmentation: Improving Universal Automatic Phonetic Transcription via G2P Bootstrapping

Tobias Bystrich, Julia M. Pritzen, Christoph A. Schmidt, Claudia Wich-Reif ยท 2026

In the field of universal automatic phonetic transcription (APT), clean and diverse training transcriptions are required. However, such high-quality data is limited. We propose the bootstrapping approโ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Estimating the Kinetic Energy Spectrum from the Second-Order Velocity Structure Function using a Regularized Fitting Approach

Ayantika Bhattacharjee, Spencer Jones, Dhruv Balwada, Shane Elipot, Manuel Gutierrez-Villanueva ยท 2026

Ocean turbulence plays a key role in shaping large-scale circulation, heat uptake, and biogeochemical processes. The kinetic energy (KE) wavenumber spectrum is a fundamental diagnostic, quantifying hoโ€ฆ

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AI & Data Science Preprint PDF DOI

Evaluating TabPFN for Mild Cognitive Impairment to Alzheimer's Disease Conversion in Data Limited Settings

Brad Ye, Bulent Soykan, Gulsah Hancerliogullari Koksalmis, Hsin-Hsiung Huang, Laura J. Brattain ยท 2026

Accurate prediction of conversion from Mild Cognitive Impairment (MCI) to Alzheimers Diseases (AD) is essential for early intervention, however, developing reliable conversion predictive models is difโ€ฆ

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Engineering Preprint PDF DOI

Real-Time GPU-Accelerated Monte Carlo Evaluation of Safety-Critical AEB Systems Under Uncertainty

Akshay Karjol, Shadi Alawneh ยท 2026

Automatic Emergency Braking (AEB) systems represent a safety-critical national interest, with the National Highway Traffic Safety Administration (NHTSA) Federal Motor Vehicle Safety Standard (FMVSS Noโ€ฆ

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Physics Preprint PDF DOI

Practical Insights to Thin Film Dewetting

Karim Gadelrab, Stefan Reimann-Zitz ยท 2026

Thin liquid films exhibit rich instability and rupture dynamics that critically impact coating performance across many applications. In this work, we use the lattice Boltzmann method (LBM) simulationsโ€ฆ

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Mathematics Preprint PDF DOI

Efficient Graph Partitioning under Resource Constraints: A Cutting-Plane Framework for Distribution Grids

Duong Thuy Anh Nguyen, Harsha Nagarajan, Robert Ferrando, Russell Bent, David Fobes ยท 2026

This paper presents an optimal network topology control framework using cutting-plane methods for efficient network partitioning with controllable edges. The objective is to enable real-time reconfiguโ€ฆ

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Engineering Preprint PDF DOI

Empirical Material Sampling and Linearisation -- A Simple and Efficient Strain-Space Model Order Reduction Approach for Computational Homogenisation in Large-Deformation Hyperelasticity

Erik Faust, Lisa Scheunemann ยท 2026

In this article, we propose a simple and efficient hyperreduced strain-space model order reduction (MOR) approach for hyperelastic representative volume elements (RVEs), called Empirical Material Sampโ€ฆ

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Physics Preprint PDF DOI

Structure-Aware Transformers for Learning Near-Optimal Trotter Orderings with System-Size Generalization in 1D Heisenberg Hamiltonians

Shamminuj Aktar, Reuben Tate, Stephan Eidenbenz ยท 2026

Trotterization is a standard approach for simulating quantum time evolution on quantum computers, where the Hamiltonian is split into local terms and each term is applied in sequence. The order of theโ€ฆ

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Physics Preprint PDF DOI

Hybrid Fourier Neural Operator-Lattice Boltzmann Method

Alexandra Junk, Josef M. Winter, Meike Tutken, Steffen Schmidt, Nikolaus A. Adams ยท 2026

We propose an accelerated computational fluid dynamics framework based on a hybrid Fourier Neural Operator-Lattice Boltzmann Method (FNO-LBM) for steady and unsteady weakly compressible flows. FNO-basโ€ฆ

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AI & Data Science Preprint PDF DOI

Optimal Stop-Loss and Take-Profit Parameterization for Autonomous Trading Agent Swarm

Nathan Li, Aikins Laryea, Yigit Ihlamur ยท 2026

Autonomous crypto trading systems often spend most of their design effort on finding entries, while exits are left to fixed rules that are rarely tested in a systematic way. This paper examines whetheโ€ฆ

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Computer Science Preprint PDF DOI

CI-Repair-Bench: A Repository-Aware Benchmark for Automated Patch Validation via CI Workflows

Rabeya Khatun Muna, Md Nakhla Rafi, Tse-Hsun (Peter) Chen ยท 2026

Continuous Integration (CI) enforces repository-level correctness through multi-stage workflows and is central to modern software development, yet diagnosing and repairing CI failures remains challengโ€ฆ

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Mathematics Preprint PDF DOI

Hamilton decompositions of the directed 5-torus for odd modulus

SangHyun Park ยท 2026

We prove that the directed five-dimensional torus $D_5(m) = \operatorname{Cay}((\mathbb{Z}_m)^5, \{e_0, e_1, e_2, e_3, e_4\})$ has a Hamilton decomposition for every odd integer $m \geq 3$. This is thโ€ฆ

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AI & Data Science Preprint PDF DOI

RCMAES: A Robust CMA-ES Variant for CEC2026 Competition

Khoirul Faiq Muzakka, Soren Moller, Martin Finsterbusch ยท 2026

This paper proposes RCMAES, a novel variant of the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for CEC benchmark optimization. RCMAES integrates a dimension-dependent nonlinear populationโ€ฆ

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AI & Data Science Preprint PDF DOI

Cross-Lingual Response Consistency in Large Language Models: An ILR-Informed Evaluation of Claude Across Six Languages

Camelia Baluta ยท 2026

This paper introduces a systematic evaluation framework grounded in the Interagency Language Roundtable (ILR) Skill Level Descriptions and applies it to Claude (Sonnet 4.6) across six languages: Engliโ€ฆ

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Physics Preprint PDF DOI

CORINOS V: Radiative transfer effects in protostellar ice observations

Will E. Thompson, Jennifer B. Bergner, Neal J. Evans II, Yao-Lun Yang, Vincent Kreft, Lenore Anderson, Klaus M. Pontoppidan, L. Ilsedore Cleeves, Ewine F. van Dishoeck, Rachel E. Gross, Jeong-Eun Lee, Melissa K. McClure, Nami Sakai, Katerina Slavicinska ยท 2026

Recent observations of protostars with the James Webb Space Telescope have revealed unprecedented chemical complexity from their ice absorption features. However, these spectra are likely influenced bโ€ฆ

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Computer Science Preprint PDF DOI

LLM-Enhanced Topical Trend Detection at Snapchat

Hangqi Zhao, Jay Li, Abhiruchi Bhattacharya, Cong Ni, Jason Yeung, Jinchao Ye, Kai Yang, Akshat Malu, Manish Malik ยท 2026

Automatic detection of topical trends at scale is both challenging and essential for maintaining a dynamic content ecosystem on social media platforms. In this work, we present a large-scale system foโ€ฆ

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AI & Data Science Preprint PDF DOI

Unsupervised Electrofacies Classification and Porosity Characterization in the Offshore Keta Basin Using Wireline Logs

Hamdiya Adams, Theophilus Ansah-Narh, Daniel Kwadwo Asiedu, Bruce Kofi Banoeng-Yakubo, Marcellin Atemkeng, Thomas Armah, Richmond Opoku-Sarkodie, Rebecca Davis, Ezekiel Nii Noye Nortey ยท 2026

This study presents an unsupervised machine learning workflow for electrofacies analysis in the offshore Keta Basin, Ghana, where core data are scarce. Six standard wireline logs from Well~C were analโ€ฆ

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Physics Preprint PDF DOI

uGMRT and MeerKAT observation of RXCJ0232-4420: a quiet cluster with a giant radio halo

Pralay Biswas, Ramananda Santra, Ruta Kale, Viral Parekh ยท 2026

Giant radio halos are the Mpc-scale extended sources associated with the merging clusters, while the mini-halos are preferentially associated with cool-core clusters. Both trace the ICM plasma physicaโ€ฆ

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AI & Data Science Preprint PDF DOI

InterPartAbility: Text-Guided Part Matching for Interpretable Person Re-Identification

Shakeeb Murtaza, Aryan Shukla, Rajarshi Bhattacharya, Maguelonne Heritier, Eric Granger ยท 2026

Text-to-image person re-identification (TI-ReID) relies on natural-language text description to retrieve top matching individuals from a large gallery of images. While recent large vision-language modโ€ฆ

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