Results 81 to 90 of about 2,176,830 (308)

Flexible Sensors for Robotics Tactile Perception: A Review

Advanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source

Semantic priming, schizophrenia and the ketamine model of psychosis [PDF]

, 2009
The central aim of the studies presented in my thesis was to investigate the modulation of semantic memory function and its neural correlates in relation to schizophrenia.
Stefanovic, A.
core  

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Types of semantic relations of participles and participatory adjectives

مجلة الآداب, 2020
The article states that the participles in the transition to the names of the adjectives there is a loss of the verbal signs of the voice, time and type, as well as the development of indicative meanings.
Majida Jameel Ashour AL Shammari
doaj   +1 more source

Decorrelation and shallow semantic patterns for distributional clustering of nouns and verbs [PDF]

, 2009
Distributional approximations to lexical semantics are very useful not only in helping the creation of lexical semantic resources (Kilgariff et al., 2004; Snow et al., 2006), but also when directly applied in tasks that can benefit from large-coverage ...
Versley, Yannick
core  

CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model

Advanced Science, EarlyView.
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang, Yuqi Zhang, Xuzhe Zhao, Yansong Tang, Kaichen Dong   +4 more
wiley   +1 more source

Psychologizing the Semantics of Fiction

Methodos, 2010
Semantic theorists of fiction typically look for an account of our semantic relations to the fictional within general-purpose theories of reference, privileging an explanation of the semantic over the psychological.
John Woods, Jillian Isenberg
doaj   +1 more source

Folksonomies, the semantic web, and movie recommendation [PDF]

, 2007
While the Semantic Web has evolved to support the meaningful exchange ofheterogeneous data through shared and controlled conceptualisations, Web 2.0 has demonstrated that large-scale community tagging sites can enrich the semantic web with readily ...
C. CATTUTO, M. SZOMSZOR, V. D. P. SERVEDIO, A. ALANI, Szomszor, Martin, Alani, Harith, O'Hara, Kieron, O’Hara, Kieron, A. BALDASSARRI, Servedio, Vito D.P., Cattuto, Ciro, Baldassarri, Andrea, Loreto, Vittorio, K. O'HARA   +13 more
core  

Semantic Referee : A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation

, 2019
Understanding why machine learning algorithms may fail is usually the task of the human expert that uses domain knowledge and contextual information to discover systematic shortcomings in either the data or the algorithm.
Alirezaie, Marjan,, Sioutis, Michael,, Längkvist, Martin,, Loutfi, Amy,   +3 more
core   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source