Results 71 to 80 of about 343,488 (306)

Effective semantic search using thematic similarity

open access: yesJournal of King Saud University: Computer and Information Sciences, 2014
Most existing semantic search systems expand search keywords using domain ontology to deal with semantic heterogeneity. They focus on matching the semantic similarity of individual keywords in a multiple-keywords query; however, they ignore the semantic ...
Sharifullah Khan, Jibran Mustafa
doaj   +1 more source

Beyond the Edge: Charge‐Transfer Excitons in Organic Donor‐Acceptor Cocrystals

open access: yesAdvanced Functional Materials, EarlyView.
Complex excitonic landscapes in acene–perfluoroacene cocrystals are unveiled by polarization‐resolved optical spectroscopy and many‐body theory. This systematic study of a prototypical model system for weakly interacting donor–acceptor compounds challenges common views of charge‐transfer excitons, providing a refined conceptual framework for ...
Sebastian Anhäuser   +6 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong   +12 more
wiley   +1 more source

Semantic ECG hash similarity graph

open access: yesScientific Reports
Graph-based methods have made significant progress in addressing the dependent correlations among ECG time series variables. However, most existing graph structures primarily focus on local similarity while overlooking global semantic correlation ...
Yixian Fang, Shilin Zhang, Yuwei Ren
doaj   +1 more source

Multi‐similarity based hyperrelation network for few‐shot segmentation

open access: yesIET Image Processing, 2023
Few‐shot semantic segmentation aims at recognizing the object regions of unseen categories with only a few annotated examples as supervision. The key to few‐shot segmentation is to establish a robust semantic relationship between the support and query ...
Xiangwen Shi   +5 more
doaj   +1 more source

Learning Modality-Invariant Representations for Speech and Images

open access: yes, 2017
In this paper, we explore the unsupervised learning of a semantic embedding space for co-occurring sensory inputs. Specifically, we focus on the task of learning a semantic vector space for both spoken and handwritten digits using the TIDIGITs and MNIST ...
Glass, James   +2 more
core   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

A platform for semantic web studies [PDF]

open access: yes, 2010
The Semantic Web can be seen as a large, heterogeneous network of ontologies and semantic documents. Characterizing these ontologies, the way they relate and the way they are organized can help in better understanding how knowledge is produced and ...
Allocca, Carlo   +2 more
core  

Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity [PDF]

open access: green, 2023
Joseph Gatto   +4 more
openalex   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

open access: yesAdvanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari   +4 more
wiley   +1 more source

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