Prediction of Point in Time with High Crash Risk by Integration of Bayesian Estimation of Drowsiness, Tracking Error, and Subjective Drowsiness [PDF]
, 2018 Atsuo Murata, Yohei Uragami
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A Statistical Mechanics Model to Decode Tissue Crosstalk During Graft Formation
Advanced Science, EarlyView.We introduce a statistical mechanics framework to decode the genomic crosstalk governing plant grafting. By integrating evolutionary game theory with transcriptomics, we reconstruct idopNetworks (informative, dynamic, omnidirectional, and personalized networks) that map scion–rootstock interactions.
Ang Dong +4 more
wiley +1 more source
Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture
Advanced Science, EarlyView.Inhaled NCM particles undergo lysosomal degradation, releasing complex ion mixtures that induce systemic impact. The impact is determined by a critical balance between antagonistic Ni‐Co interactions and synergistic Mn effects. To capture these complexities in risk assessment, we develop an IAI model, ensuring a more accurate quantitative risk ...
Ze Zhang +11 more
wiley +1 more source
Flexible estimation in cure survival models using Bayesian P-splines
, 2014 Vincent Bremhorst, Philippe Lambert
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ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design
Advanced Science, EarlyView.ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang +15 more
wiley +1 more source
Bayesian Compressive Channel Estimation for Hybrid Full-Dimensional MIMO Communications [PDF]
, 2021 Hongqing Huang, Peiran Wu, Minghua Xia
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Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Bayesian quantum phase estimation with fixed photon states [PDF]
Boyu Zhou +2 more
openalex +1 more source
Bayesian Framework for Multi-Timescale State Estimation in Low-Observable Distribution Systems
, 2022 Shweta Dahale, Balasubramaniam Natarajan
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