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A Hybrid High-Order Finite Element Method for a Nonlocal Nonlinear Problem of Kirchhoff Type

A Hybrid High-Order Finite Element Method for a Nonlocal Nonlinear Problem of Kirchhoff Type

Co-Investment under Revenue Uncertainty Based on Stochastic Coalitional Game Theory

Co-Investment under Revenue Uncertainty Based on Stochastic Coalitional Game Theory

Efficient Group Lasso Regularized Rank Regression with Simulation-Based Tuning

Efficient Group Lasso Regularized Rank Regression with Simulation-Based Tuning

SNARKChain Proof-of-Useful-Work Blockchain Consensus with General-Purpose SNARK Marketplace

SNARKChain Proof-of-Useful-Work Blockchain Consensus with General-Purpose SNARK Marketplace

A geometrical approach to determine the proximity of a point to an axisymmetric quadric in space

A geometrical approach to determine the proximity of a point to an axisymmetric quadric in space

TENET: One Step Toward Test-Driven Development for Repository-Level Code Generation

TENET: One Step Toward Test-Driven Development for Repository-Level Code Generation

The Complexity of Defining and Separating Fixpoint Formulae in Modal Logic

The Complexity of Defining and Separating Fixpoint Formulae in Modal Logic

Beyond Slater’s Condition in Online CMDPs with Stochastic and Adversarial Constraints

Beyond Slater’s Condition in Online CMDPs with Stochastic and Adversarial Constraints

KAMERA Enhancing Aerial Surveys of Ice-associated Seals in Arctic Environments

KAMERA Enhancing Aerial Surveys of Ice-associated Seals in Arctic Environments

On the Boundary of the Robust Admissible Set in State and Input Constrained Nonlinear Systems

On the Boundary of the Robust Admissible Set in State and Input Constrained Nonlinear Systems

Autonomous Close Proximity Photovoltaic Panel Coating Using a Quadcopter

Autonomous Close Proximity Photovoltaic Panel Coating Using a Quadcopter

Maximum Diversity and Weighting for Invariants of Periodic Time Series

Maximum Diversity and Weighting for Invariants of Periodic Time Series

Forecasting Generative Amplification

Forecasting Generative Amplification

Segmentation and Classification of Pap Smear Images for Cervical Cancer Detection Using Deep Learning

Segmentation and Classification of Pap Smear Images for Cervical Cancer Detection Using Deep Learning

Beyond Naïve Prompting: Strategies for Improved Context-aided Forecasting with LLMs

Beyond Naïve Prompting: Strategies for Improved Context-aided Forecasting with LLMs