Results 91 to 100 of about 1,817,676 (247)

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

Semantic Maps for Knowledge Graphs: A Semantic-Based Summarization Approach

IEEE Access
Knowledge Graphs (KGs) have emerged as a powerful tool for representing semantic structured information and enabling the development of intelligent systems. This paper focuses on the generation of semantic maps as summarization method for KGs. We propose
Pablo Camarillo-Ramirez, Francisco Cervantes-Alvarez, Luis Fernando Gutierrez-Preciado   +2 more
doaj   +1 more source

Cross-Viewpoint Semantic Mapping: Integrating Human and Robot Perspectives for Improved 3D Semantic Reconstruction. [PDF]

Sensors (Basel), 2023
Kopácsi L, Baffy B, Baranyi G, Skaf J, Sörös G, Szeier S, Lőrincz A, Sonntag D.   +7 more
europepmc   +1 more source

A Machine Vision‐Guided Microphysiological Platform With Automated Microfluidics Enables Longitudinal Biomarker Monitoring and Emulation of Translationally Relevant Exposure Scenarios

Advanced Science, EarlyView.
A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen, Yi Zhong, Laura Dangel, Sonia Youhanna, Reza Zandi Shafagh, Jinhye Ryu, Domnica‐Gabriela Gurau, Mathias Haag, Thomas E. Mürdter, Yingxin Liang, Iro Beligiani, Nicole Ziegler, Sabine Willems, Nayere Taebnia, Wouter van der Wijngaart, Volker M. Lauschke   +15 more
wiley   +1 more source

P2P Mapping Creation by Semantic Discovering and Mapping

, 2011
To fully fulfill the modularity and loosely coupled characteristics of P2P semantic mapping paradigm proposed in our previous work[1], a mapping creation method based on semantic discovery is presented to avoid a time-consuming and labor-intensive ...
Jing Tao Zhou, Ming Wei Wang, Rong Mo, Hai Cheng Yang   +3 more
core   +1 more source

Using language models and ontology topology to perform semantic mapping of traits between biomedical datasets. [PDF]

Bioinformatics, 2023
Liu Y, Elsworth BL, Gaunt TR.
europepmc   +1 more source

Strategy of Triple‐Gradient in Binary Pixels for Flexible Pressure Sensing with High Sensitivity and Wide‐Range Linearity

Advanced Science, EarlyView.
A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu, Xiao Xu, Fengming Hu, Yuanzhe Liang, Zidong Yin, Biao Qi, Ruolin Liu, Ziyi Dai, Jianyi Luo, Bingpu Zhou   +9 more
wiley   +1 more source

Semantic Mapping for Autonomous Subsea Intervention. [PDF]

Sensors (Basel), 2021
Vallicrosa G, Himri K, Ridao P, Gracias N.   +3 more
europepmc   +1 more source

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

Mapping Semantic Types onto WordNet Synsets

, 2016
In this paper, we report the results of an experiment aimed at automatically mapping corpus-derived Semantic Types to WordNet synsets. The algorithm for the automatic alignment of Semantic Types with WordNet synsets relies on lexical correspondence, i.e.
Jezek, Elisabetta, Gatti, Lorenzo, Magnolini, Simone, Feltracco, Anna, Magnini, Bernardo   +4 more
core