Analyzing avalanches on asteroid Vesta offers new method for understanding regolith processes

A study conducted at the Institut de Physique du Globe de Paris uses images from NASA's Dawn mission and a Bayesian inversion ...
AlphaGalileo

Transfer learning boosts leaf trait estimation from space

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...
Medical Xpress

Benefits of using a Bayesian statistical framework for replicating research

The "replication crisis" refers to a problem in the sciences where findings from previous experiments don't hold up when studies are repeated. It is a particular issue for those in the behavioral ...
PC World

Hands-on: Framework finally made a modular laptop feel as premium as its mission

PCWorld highlights the Framework Laptop 13 Pro’s transformation into a premium device with solid aluminum construction, addressing previous models’ build quality issues while maintaining modular ...
Wired

Framework Has a Better, More Take-Apartable Laptop

Framework, the company that makes laptops designed for optimal repairability, announced a new version of its main product, a 13-inch-screen laptop. It’s called the Framework Laptop 13 Pro, and it has ...
IEEE

Joint Low-Rank and Sparse Bayesian Channel Estimation for Ultra-Massive MIMO Communications

Abstract: This letter investigates channel estimation for ultra-massive multiple-input multiple-output (MIMO) communications. We propose a joint low-rank and sparse Bayesian estimation (LRSBE) ...
Frontiers

A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools

A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...
Frontiers

Enhancing disaster prediction with Bayesian deep learning: a robust approach for uncertainty estimation

Accurate disaster prediction combined with reliable uncertainty quantification is crucial for timely and effective decision-making in emergency management. However, traditional deep learning methods ...
Scientific Research Publishing

A Bayesian Vector Autoregression Model to Estimate Bilateral Trade Flows in Panel Data Setting ()

This study examines how trade shocks that start in one large economy ripple through other countries and how long those effects stick around. Using quarterly bilateral-trade data for 2012-2023, the ...
IEEE

A Bayesian Fusion Framework for Characterizing Marine Ducts Using Multisource Prior Constraints

Abstract: The study of surface-layer evaporation ducts (EDs) maintains persistent scientific significance due to their critical role in modulating tropospheric propagation. While multiple ED ...