Results 41 to 50 of about 695,736 (279)
Objective This study aimed to investigate hand function trajectories over five years in primary hand osteoarthritis (OA). Additionally, determinants of baseline and longitudinal hand function were assessed. Methods A total of 538 patients with both baseline and five‐year study visits were analyzed.
Annemiek V. E. M. Olde Meule +4 more
wiley +1 more source
Spelling correction is an automatic correction feature useful in detecting spelling errors and providing word suggestions if necessary. Spelling correction is one of the crucial preprocessing phases in text mining. The Damerau-Levenshtein Distance method
husni husni +4 more
doaj +1 more source
Correction to: Parma consensus statement on metabolic disruptors
Correction After publication of the article [1], it has been brought to our attention that the thirteenth author of this article has had their name spelt incorrectly. In the original article the spelling “Laura Rizzir” was used.
Jerrold J. Heindel +30 more
doaj +1 more source
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
Twictée is an activity in which classes exchange dictations, and then correction tools, called “twoutils”. In the latter, hashtags are used with the aim of facilitating the categorisation of spelling mistakes.
Prisca Fenoglio
doaj +1 more source
Optimizing Chew and Chen's Pitch-Spelling Algorithm [PDF]
Pitch-spelling algorithms attempt to compute the correct pitch names (e.g., C#4, Bb5) of the notes in a passage of tonal music, when given only the onset time, MIDI note number, and possibly the duration and voice of each note.
Meredith, David
core +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Correction Following publication of the original article [1], the authors requested a correction to the name of one of the co-authors. The correct name and spelling is V.V. Sathibabu Uddandrao. The original article has been updated.
Balaji Meriga +7 more
doaj +1 more source
Pronunciation modeling for improved spelling correction [PDF]
This paper presents a method for incorporating word pronunciation information in a noisy channel model for spelling correction. The proposed method builds an explicit error model for word pronunciations. By modeling pronunciation similarities between words we achieve a substantial performance improvement over the previous best performing models for ...
Kristina Toutanova, Robert C. Moore
openaire +2 more sources

