Flowering plant origins: Dosage-sensitive genes suggest no whole-genome duplications in ancestral angiosperm

Angiosperms, also known as flowering plants, represent the most diverse group of seed plants, and their origin and evolution ...
eLife

Perceptual predictions track subjective, over objective, statistical structure

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

Turning noisy city signals into reliable smartphone positioning

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...
Medindia

Predicting Female Hip Fractures With Precision

Researchers show that analyzing just 7% of the hip bone can predict fracture risk with 95% accuracy, improving osteoporosis ...
Earth.com

Largest protein classification in history finds 700,000 unknown structures

Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique ...
TMCnet

WiMi Releases Next-Generation Hybrid Quantum Neural Network Structure Technology, Breaking Through the Bottleneck of Image Multi-Classification

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...
Frontiers

Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification

Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Khlong Luang, Pathum Thani, Thailand RandomGaussianNB is an open-source R package implementing the ...
IEEE

ProBoost: Reducing Uncertainty Using a Boosting Method for Probabilistic Models

Abstract: Uncertainty analysis of classification or regression models is a key feature of probabilistic approaches to supervised learning, allowing the assessment of how trustworthy predictions are.
IEEE

A Probabilistic Method for Hierarchical Multisubject Classification of Documents based on Multilingual Subject Term Vocabularies

Abstract: Hierarchical Multilabel Classification (HMC) is a challenging task in information retrieval, especially within scientific textbooks, where the objective is to allocate multiple labels ...
Frontiers

Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm

1 School of Mechanical Engineering, Vellore Institute of Technology, Chennai, India 2 Centre for e-Automation Technologies, Vellore Institute of Technology, Chennai, India Introduction: Friction Stir ...