This work presents a new approach to anomaly detection and localization in synthetic aperture radar imagery (SAR), expanding upon the existing patch distribution modeling framework (PaDiM). We introduce the adaptive cosine estimator (ACE) detection s...
We leverage 3D Gaussian Splatting (3DGS) as a scene representation and propose a novel test-time camera pose refinement (CPR) framework, GS-CPR. This framework enhances the localization accuracy of state-of-the-art absolute pose regression and scene...
# The Ethics and Implementation of Universal Cognitive Augmentation: A Global Policy Framework for AI-Human Partnership **Author:** Manus AI & Claude xz **Date:** November 2025 ----- ## Table o...
Enterprise Architecture defines the overall form and function of systems across an enterprise involving the stakeholders and providing a framework, standards and guidelines for project-specific architectures. Project-specific Architecture defines the...
Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia (⭐ 668)
This paper presents aUToPath, a unified online framework for global path-planning and control to address the challenge of autonomous navigation in cluttered urban environments. A key component of our framework is a novel hybrid planner that combines...
This paper presents a model conceptual framework that is aimed at promoting trust in the online retailing environment in the Kingdom of Saudi Arabia (KSA). Despite rapid Internet growth, the development of online retailing in Saudi Arabia continues t...
Continuous monitoring of trained ML models to determine when their predictions should and should not be trusted is essential for their safe deployment. Such a framework ought to be high-performing, explainable, post-hoc and actionable. We propose TRU...
In this paper, we propose Bootstrapped Language-Image Pretraining-driven Fused State Representation in Proximal Policy Optimization (BLIP-FusePPO), a novel multimodal reinforcement learning (RL) framework for autonomous lane-keeping (LK), in which se...
The Catherine Framework is a general-purpose cybersecurity framework built to aggregate, validate, decode, decrypt, and maintain data. (⭐ 0)
Nov 4, 2021 · Build and Debug ASP.NET MVC 5 Framework Web Application 4.x in VS Code Thursday, November 4, 2021 VSCODE ASP.NET ASP.NET MVC .NET .NET-FRAMEWORK
Feb 23, 2015 · ASP.NET 5 is an open source web framework for building modern web applications that can be developed and run on Windows, Linux and the Mac. It includes the MVC 6 framework, which …
We propose a unified framework for establishing existence of nonparametric M-estimators, computing the corresponding estimates, and proving their strong consistency when the class of functions is exceptionally rich. In particular, the framework addre...
We propose a new model-based offline RL framework, called Adversarial Models for Offline Reinforcement Learning (ARMOR), which can robustly learn policies to improve upon an arbitrary baseline policy regardless of data coverage. Based on the concept...
Nov 4, 2021 · Build and Debug ASP.NET MVC 5 Framework Web Application 4.x in VS Code Thursday, November 4, 2021 VSCODE ASP.NET ASP.NET MVC .NET .NET-FRAMEWORK
Feb 23, 2015 · ASP.NET 5 is an open source web framework for building modern web applications that can be developed and run on Windows, Linux and the Mac. It includes the MVC 6 framework, which …
We introduce a training-free framework specifically designed to bring real-world static paintings to life through image-to-video (I2V) synthesis, addressing the persistent challenge of aligning these motions with textual guidance while preserving fid...
Social platforms, and the online communities that use them, are evolving at a rapid pace. As a result, research and development regarding how to moderate online communities is being out-paced. In this paper, we present a novel framework that will all...
We present a framework for web-scale archiving of the dark web. While commonly associated with illicit and illegal activity, the dark web provides a way to privately access web information. This is a valuable and socially beneficial tool to global ci...
We present a Bayesian framework for learning probabilistic specifications from large, unstructured code corpora, and a method to use this framework to statically detect anomalous, hence likely buggy, program behavior. The distinctive insight here is...