State Estimation Schemes for Independent Component Coupled Hidden Markov Models
W.P. Malcolm +2 more
openalex +2 more sources
Phylogenetic analyses of glutamine synthetase (GS) in seed plants revealed that all three major evolutionary lineages (GS2, GS1a, and GS1b) must have been present in the common ancestor, with GS2 being the first lineage to diverge. Unlike GS1b, GS1a and GS2 are usually single‐copy genes, even though they underwent duplications that resulted in ...
Elena Aledo +3 more
wiley +1 more source
An Electro-Magnetic Log (EML) Integrated Navigation Algorithm Based on Hidden Markov Model (HMM) and Cross-Noise Linear Kalman Filter. [PDF]
Zhang H +6 more
europepmc +1 more source
ABSTRACT Aim The aim of this study was to compare pulp survival following selective caries removal (SCR) and full pulpotomy treatment in teeth with extensive caries over 3 years. Methodology This two‐arm, exploratory randomised controlled trial included vital mature permanent teeth with extensive primary or secondary caries diagnosed radiographically ...
Jill Jing Rui Chew +5 more
wiley +1 more source
Predicting nodal metastasis progression of oral tongue cancer using a hidden Markov model in MRI. [PDF]
Gang Q, Feng J, Kauczor HU, Zhang K.
europepmc +1 more source
Comparison between developmental stages (larvae, pupae, worker) in Pogonomyrmex californicus revealed significant stage‐specific differences in Gene Body Methylated frequencies. Methylation sites were highly correlated between WGBS and ONT in P. californicus Genome‐wide methylation was low (~3%) and highly clustered within gene bodies (GBM), especially
Tania Chavarria‐Pizarro +4 more
wiley +1 more source
Quantifying Asymmetric Gait Pattern Changes Using a Hidden Markov Model Similarity Measure (HMM-SM) on Inertial Sensor Signals. [PDF]
Ng G, Gouda A, Andrysek J.
europepmc +1 more source
Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh +3 more
wiley +1 more source
Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust
ABSTRACT Organisations increasingly deploy conversational AI agents (CAs) in agentic roles where behavioural variations are inevitable. Prior work often conflates two distinct forms of variation: outcome variation (where success fluctuates) and process variation (where the path to completion varies).
Kambiz Saffarizadeh, Mark Keil
wiley +1 more source
EpiSegMix: a flexible distribution hidden Markov model with duration modeling for chromatin state discovery. [PDF]
Schmitz JE +5 more
europepmc +1 more source

