Results 81 to 90 of about 464,134 (277)
Argument structure in explaining wave-particle duality of photons in double-slit experiment
LUMATWe analyze here how pre-service teachers explicate their views about the wave-particle duality of photons and what role it plays in their arguments supporting the quantum nature of light.
Ismo T. Koponen +2 more
doaj +1 more source
Socio-semantic network analysis explores the duality of semantic and social systems. Building upon the key notion that social relationships and semantic associations shape each other, it uncovers network-level relations and micro-level mechanisms that reflect the interplay between social structures of groups and semantic structures of culture ...
Basov, Nikita, Roth, Camille
openaire +3 more sources
Computers & Mathematics with Applications, 1992 AbstractA semantic network is a graph of the structure of meaning. This article introduces semantic network systems and their importance in Artificial Intelligence, followed by I. the early background; II. a summary of the basic ideas and issues including link types, frame systems, case relations, link valence, abstraction, inheritance hierarchies and ...
openaire +1 more source
Advanced Robotics Research, EarlyView.Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Hierarchy-based Image Embeddings for Semantic Image Retrieval
, 2019 Deep neural networks trained for classification have been found to learn powerful image representations, which are also often used for other tasks such as comparing images w.r.t. their visual similarity. However, visual similarity does not imply semantic
Barz, Björn, Denzler, Joachim
core +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
The Geography of Meaning: Investigating Semantic Differences Across German Dialects
LanguagesThis study reconstructs the geography of meaning of the German perception verb schmecken on the basis of 30 major dialect dictionaries, treating them as a distributed semantic corpus and coding attestations as binary variables reflecting the presence or ...
Alfred Lameli, Matthias Hahn
doaj +1 more source
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering
, 2018 The most approaches to Knowledge Base Question Answering are based on semantic parsing. In this paper, we address the problem of learning vector representations for complex semantic parses that consist of multiple entities and relations.
Gurevych, Iryna, Sorokin, Daniil
core
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.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
Studia Romanica Posnaniensia, 2014 The technique for collecting available lexicon is based on surveys of open lists in which for two minutes informants recorded all the words that come to mind in relation to each center of interest, up to a total of 16 thematic stimuli. These stimuli were
Antonio María López González
doaj +1 more source