Results 71 to 80 of about 327,399 (293)
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Introduction: One problem in conducting scientometric thematic analysis is selecting which of the bibliographic fields containing the topics can be analyzed.
Farideh Osareh +3 more
doaj +1 more source
Enriching Vocabulary For The Fourth Grade Students Of Elementary School Using Total Physical Response [PDF]
The aim of this research is to find a significant difference between teaching vocabulary using TPR method and teaching vocabulary using conventional method and prove the influences of both. The research was conducted in the form of quasi experiment.
Yulianjani, A. (Arsi)
core
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
On the use of clustering and the MeSH controlled vocabulary to improve MEDLINE abstract search [PDF]
Databases of genomic documents contain substantial amounts of structured information in addition to the texts of titles and abstracts. Unstructured information retrieval techniques fail to take advantage of the structured information available.
Blott, Stephen +3 more
core
Thesaurus based automatic keyphrase indexing [PDF]
We propose a new method that enhances automatic keyphrase extraction by using semantic information on terms and phrases gleaned from a domain-specific thesaurus.
Medelyan, Olena, Witten, Ian H.
core +2 more sources
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
The road to language learning is not entirely iconic: Iconicity, neighborhood density, and frequency facilitate sign language acquisition [PDF]
Iconic mappings between words and their meanings are far more prevalent than once estimated, and seem to support children’s acquisition of new words, spoken or signed.
Caselli, Naomi, Pyers, Jennie
core +2 more sources
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang +7 more
wiley +1 more source
Background This paper presents a comparative study of two state-of-the-art language models, OpenAI’s GPT and DeepL, in the context of terminology translation within the medical domain. Methods This study was conducted on the human phenotype ontology (HPO)
Richard Noll +12 more
doaj +1 more source

