Results 231 to 240 of about 8,467,026 (293)
ABSTRACT We present an efficient multi‐object map‐matching approach for scene modeling in the context of automated driving. The mapping of traffic participants to the road topology is a key component of the scene modeling step in the processing pipeline for situation‐aware automated driving.
Maximilian Gerwien, Klaus Röbenack
wiley +1 more source
Validating hidden Markov models for seabird behavioural inference. [PDF]
Akeresola RA +6 more
europepmc +1 more source
Meta Repeat Finder: Combining multiple detectors for tandem repeat discovery in protein sequences
Abstract Tandem repeats (TRs) occur in a substantial fraction of protein sequences and exhibit distinct structural, functional, and evolutionary properties compared with aperiodic regions that form globular folds. Although TRs often originate as highly periodic sequences, they can progressively diverge through mutation while retaining residual ...
Jeremy Leclercq +11 more
wiley +1 more source
Microplastic predictive modelling with the integration of Artificial Neural Networks and Hidden Markov Models (ANN-HMM). [PDF]
R IS, M M, C F, M JK.
europepmc +1 more source
Impact of Packaging and Recycling Systems on Material Recirculation: A Stage‐Decomposition Model
A system‐level view emerges from decomposing recycling into four stages (participation, collection, sorting and process yield), diagnosing constraints and targeting interventions. Cumulative equivalent uses (CEUs) quantify long‐term retention, revealing marginal improvements at high baselines generate disproportionately larger gains than low‐baseline ...
Diogo Figueirinhas +3 more
wiley +1 more source
Abstract Single‐cell RNA sequencing (scRNA‐seq) generates high‐dimensional transcriptomic data but is severely affected by dropout events, which obscure true gene–gene relationships. These missing values introduce bias into downstream analyses, complicate data processing, and reduce analytical efficiency.
Shuang Xu +3 more
wiley +1 more source
Attentional heterogeneity in social anxiety disorder: Evidence from Hidden Markov Models. [PDF]
Rubin M, Muller K, Hayhoe MM, Telch MJ.
europepmc +1 more source
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
Optimal Inference of Hidden Markov Models Through Expert-Acquired Data. [PDF]
Ravari A, Ghoreishi SF, Imani M.
europepmc +1 more source

