In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

Background Comparative evidence on the diagnostic yield of endobronchial ultrasound (EBUS)-guided sampling techniques for ...

This study presents a valuable contribution by introducing a model-based, Bayesian method for inferring action potentials from calcium imaging data that directly quantifies uncertainty in spike timing ...

Abstract: Recommender systems have become essential in large-scale e-commerce and content platforms. While user preferences are crucial in generating recommendations, the context in which ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

We propose Ψ-Sampler, an SMC-based framework that improves inference-time reward alignment in score-based generative models via efficient posterior initialization using the pCNL algorithm. We ...

This document provides information about the safety requirements that apply under the Hazardous Products (Carpet) Regulations to textile floor coverings manufactured, imported, advertised or sold in ...

Abstract: This article presents an optimization of the sequential spatial adaptive sampling (SSAS) algorithm to accelerate near-field scanning of printed circuit boards or integrated circuits. The ...

Objective This study aims to assess the feasibility of respondent-driven sampling (RDS) to recruit participants with recent abortion experiences in humanitarian contexts, and describe the composition ...

摘要: In an era defined by globalisation and technological transformation, the development of future managers is crucial to the sustainability and competitiveness of organisations. This study examines ...