Empowering health geography research with location-based social media data: innovative food word expansion and energy density prediction via word embedding and machine learning. [PDF]
Int J Health Geogr, 2023 Wang J, Kim G, Chang KC.
europepmc +1 more source
Advanced Robotics Research, EarlyView.An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid +7 more
wiley +1 more source
AttBiLSTM_DE: enhancing anticancer peptide prediction using word embedding and an optimized attention-based BiLSTM framework. [PDF]
Sci RepJuthy MJN +5 more
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FrameAxis: characterizing microframe bias and intensity with word embedding. [PDF]
PeerJ Comput Sci, 2021 Kwak H, An J, Jing E, Ahn YY.
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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
Word embedding for social sciences: an interdisciplinary survey. [PDF]
PeerJ Comput SciMatsui A, Ferrara E.
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Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke: A Feasibility Study. [PDF]
Int J Environ Res Public Health, 2022 Desai A +10 more
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LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.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
Cword2vec: a novel morphological rule-based word embedding approach for Urdu text sentiment analysis. [PDF]
PeerJ Comput SciKhushhal S +5 more
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Search Term Identification Methods for Computational Health Communication: Word Embedding and Network Approach for Health Content on YouTube. [PDF]
JMIR Med Inform, 2022 Tong C +6 more
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