arxiv.org/abs/2504.06133v1
In this article, we investigate the gravitational baryogenesis mechanism in the framework of Extended Proca-Nuevo (EPN) gravity, a theory where a massive vector field is non-minimally coupled to the curvature. This analysis is carried out for an earl...
arxiv.org/abs/2012.09222v1
Network Utility Maximization (NUM) studies the problems of allocating traffic rates to network users in order to maximize the users' total utility subject to network resource constraints. In this paper, we propose a new NUM framework, Learning-NUM, w...
arxiv.org/abs/1108.3732v2
The concave utility in the Network Utility Maximization (NUM) problem is only suitable for elastic flows. However, the networks with the multiclass traffic, the utility of inelastic traffic is usually represented by the sigmoidal function which is a...
www.bing.com/ck/a?!&&p=d368e55ed4222e452395bfea5705a8e730008c97b20e481f870119b0d9171ec6JmltdHM9MTc3MjQwOTYwMA&ptn=3&ver=2&hsh=4&fclid=0109c63b-9133-6107-095e-d12b901b60e0&u=a1aHR0cHM6Ly9zdXBwb3J0Lm1pY3Jvc29mdC5jb20vZW4tdXMvdG9waWMvamFudWFyeS0yOS0yMDI2LWtiNTA3NDgyOC1jdW11bGF0aXZlLXVwZGF0ZS1wcmV2aWV3LWZvci1uZXQtZnJhbWV3b3JrLTMtNS1hbmQtNC04LTEtZm9yLXdpbmRvd3MtMTEtdmVyc2lvbi0yNWgyLTY5MTcwNWVlLWViYWItNGQ4ZC05ZTY2LTBhZGJiYzhjNTQyMQ&ntb=1
The January 29, 2026 update for Windows 11, version 25H2 includes security and cumulative reliability improvements in .NET Framework 3.5 and 4.8.1. We recommend that you apply this update as part …
arxiv.org/abs/2601.22125v2
Creative image generation has emerged as a compelling area of research, driven by the need to produce novel and high-quality images that expand the boundaries of imagination. In this work, we propose a novel framework for creative generation using di...
arxiv.org/abs/2403.14724v1
Synthetic Data is increasingly important in financial applications. In addition to the benefits it provides, such as improved financial modeling and better testing procedures, it poses privacy risks as well. Such data may arise from client informatio...
arxiv.org/abs/2003.00796v2
Monte Carlo methods provide detailed and accurate results for radiation transport simulations. Unfortunately, the high computational cost of these methods limits its usage in real-time applications. Moreover, existing computer codes do not provide a...
arxiv.org/abs/2301.00808v1
Driven by improved architectures and better representation learning frameworks, the field of visual recognition has enjoyed rapid modernization and performance boost in the early 2020s. For example, modern ConvNets, represented by ConvNeXt, have demo...
github.com/codebasics/crewai-crash-course
Crash course tutorial for crew ai framework (⭐ 30)
arxiv.org/abs/2105.11646v2
Motivated by the needs from an airline crew scheduling application, we introduce structured convolutional kernel networks (Struct-CKN), which combine CKNs from Mairal et al. (2014) in a structured prediction framework that supports constraints on the...
arxiv.org/abs/2003.03994v2
Crew Pairing Optimization aims at generating a set of flight sequences (crew pairings), covering all flights in an airline's flight schedule, at minimum cost, while satisfying several legality constraints. CPO is critically important for airlines' bu...
github.com/pydantic/pydantic-ai
GenAI Agent Framework, the Pydantic way (⭐ 15252)
github.com/mackinleysmith/cytoplasm
Cytoplasm is the gel-like substance in which the contents of a cell are suspended, and also a gem for Rails 3 by MacKinley Smith, which builds upon Sass and jQuery/jQuery UI Frameworks to make your application beautiful, responsive, and recustomizable without…
arxiv.org/abs/2505.06961v1
This paper explores price competition with exogenous product differentiation in a spatial model similar to that of Nakagawa (2023). Nakagawa examines product differentiation within the framework of Varian (1980). Nakagawa integrates Varian's concept...
arxiv.org/abs/2405.08573v1
Tooth segmentation is a key step for computer aided diagnosis of dental diseases. Numerous machine learning models have been employed for tooth segmentation on dental panoramic radiograph. However, it is a difficult task to achieve accurate tooth seg...
arxiv.org/abs/2411.08892v1
Education is being transformed by rapid advances in Artificial Intelligence (AI), including emerging Generative Artificial Intelligence (GAI). Such technology can significantly support academics and students by automating monotonous tasks and making...
arxiv.org/abs/2208.09186v1
After reconsidering the theorem of continuity of the roots of a polynomial in terms of its coefficients in the deformation framework, we study the stability of the greater common divisor of two polynomials compared to perturbations on their roots. We...
arxiv.org/abs/2205.06267v2
We present a framework for learning 3D object shapes and dense cross-object 3D correspondences from just an unaligned category-specific image collection. The 3D shapes are generated implicitly as deformations to a category-specific signed distance fi...
stackoverflow.com/questions/6724370/g-wan-analogs
Tags: c, web-frameworks, ansi-c, g-wan | Score: 2
arxiv.org/abs/2202.13925v2
Cloud Service Providers (CSPs) offer a vast amount of storage space at competitive prices to cope with the growing demand for digital data storage. Dual deduplication is a recent framework designed to improve data compression on the CSP while keeping...