Results 231 to 240 of about 241,122 (289)
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger +2 more
wiley +1 more source
Hidden Markov model-based similarity measure (HMM-SM) for gait quality assessment of lower-limb prosthetic users using inertial sensor signals. [PDF]
Ng G, Andrysek J.
europepmc +1 more source
A Hidden Markov Model for Collaborative Filtering
Nachiketa Sahoo +2 more
openalex +1 more source
ABSTRACT There is an increased proportion of studies using quantile‐based regression methodology (QR) in economics. They offer a robust alternative to classical mean regressions, which can estimate non‐normal variables with distributional heterogeneity in the dependent variable.
Shajara Ul‐Durar +4 more
wiley +1 more source
Place Recognition through Multiple LiDAR Scans Based on the Hidden Markov Model. [PDF]
Gui L, Zeng C, Luo J, Yang X.
europepmc +1 more source
Multi-Stage Attack Detection Using Layered Hidden Markov Model Intrusion Detection System
Wondimu Zegeye
openalex +1 more source
Abstract The genus Merismopedia is morphologically characterized by its distinctive colony arrangement yet exhibits considerable variability among species. Recent studies suggested that Merismopedia is polyphyletic, and its most likely true lineage was provisionally placed within the Microcystaceae. However, the available molecular data for most of the
Jan Pokorný +2 more
wiley +1 more source
Exploring Collaborative Patterns in Neurodiverse Teams: A Hidden Markov Model Approach Using Physiological Signals. [PDF]
Kim S +5 more
europepmc +1 more source
A perspective on automated rapid eye movement sleep assessment
Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley +1 more source

