Abstract: Linear fusion is a cornerstone of estimation theory. Implementing optimal linear fusion requires knowledge of the covariance of the vector of errors associated with all the estimators. In ...

In a dark coincidence, the researchers point to California's current catastrophe as a timely example of their recently published findings. "In that publication, fairly incredibly, we use the example ...

This guide explains why career goals matter, provides practical examples, and offers strategies for achieving them effectively. Establishing career goals brings clarity and purpose to our professional ...

Then, we formulate such Hermitian Toeplitz matrix estimation as the problem of minimizing the covariance fitting (CF) criterion. We further prove that the solution to the formulated problem is a large ...

The concept of covariance is commonly used when discussing relationships between two economic indicators or terms. For example, market values of publicly traded companies typically have a positive ...

NASA’s troubled Mars Sample Return program is stuck at a crossroads—and is likely to remain in limbo until at least 2026—agency officials said at a press briefing on Tuesday. To bring this ...

Option one would use the same "sky crane" landing system proven with NASA's Curiosity and Perseverance Mars rovers, a smaller sample collection spacecraft, a smaller rocket to boost the samples ...

NASA's beleaguered Mars Sample Return program currently faces extreme costs of up to $11 billion and a timeline that could reach 2040. The year 2025 isn't even a week old and NASA is already ...

The goal of the Mars Sample Return Program, which is being planned jointly with the European Space Agency (ESA), is to retrieve samples of rock, gas and loose surface material that were collected ...

Relivator: Next.js 15 React 19 eCommerce Template i18n Stripe Shadcn UI Tailwind Drizzle ORM Zod TypeScript TS Clerk Radix, Responsive Server Components, Postgres Neon, Intl App Router Docs User ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running mat… ...