Results 71 to 80 of about 141,795 (316)

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

Advanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang, Hexing Han, Yufeng Liu, Zhiyuan Ning, Yujie Ma, Haidan Wang, Jinling Xu, Qiansheng Huang, Wenjuan Cui, Yuanchun Zhou, Yang Gao, Bin Wang, Yi Du   +12 more
wiley   +1 more source

Development of an ontology-based semantic building post-occupancy evaluation framework

International Journal of Metrology and Quality Engineering, 2021
Post-occupancy evaluation (POE) is a systematic method to evaluate the actual building performance against the theoretical design intents after the building has been occupied for some time, to understand how the building is performing and to capture ...
Zhao Yuanhong, Yang Qingping
doaj   +1 more source

Grammar-Based Random Walkers in Semantic Networks

, 2008
Semantic networks qualify the meaning of an edge relating any two vertices. Determining which vertices are most "central" in a semantic network is difficult because one relationship type may be deemed subjectively more important than another.
Aleman-Meza, Bollen, Bollen, Bonacich, Brin, Ching, Cohen, Crestani, Crestani, Gasevic, Gasevic, Getoor, Häggström, Lacy, Langville, Lin, Marko A. Rodriguez, Mitrani, Parzen, Rada, Savoy, Sebesta, Sheth, Sowa, Trefethen, Wasserman   +25 more
core   +1 more source

Supporting user-oriented analysis for multi-view domain-specific visual languages [PDF]

, 2008
This is the post-print version of the final paper published in Information and Software Technology. The published article is available from the link below.
Alessio Malizia, Baresi, Berry, Buchholtz, Clarke, de Lara, Ehrig, Ehrig, Ermel, Esther Guerra, Green, Grundy, Grundy, Guerra, Guerra, Guerra, Juan de Lara, Lédeczi, Magee, Manna, Murata, Nentwich, Paloma Díaz, Schürr, Varró, Völter, Xie, Zhu   +27 more
core   +4 more sources

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Ontology-based methodology for the intelligent detection of product manufacturing information semantic representation errors in the model-based definition

Journal of Advanced Mechanical Design, Systems, and Manufacturing
In model-based definition (MBD), product manufacturing information (PMI) semantic representation errors (SREs) are known to hinder the model readability, understandability, and processibility.
Yazhou CHEN, Binlei BAI, Yi GAN, Hongxin WANG, Xiaochuan LIN, Yiming CHEN   +5 more
doaj   +1 more source

Building Ontology-Driven Tutoring Models for Intelligent Tutoring Systems Using Data Mining

IEEE Access, 2020
Pedagogical (Tutor or Tutoring) Models are an important element of Intelligent Tutoring Systems (ITS) and they can be described by sets of (tutoring) rules.
Maiga Chang, Giuseppe D'Aniello, Matteo Gaeta, Francesco Orciuoli, Demetrios Sampson, Carmine Simonelli   +5 more
doaj   +1 more source

A Guideline-Oriented Ontological Decision Support System for Diagnosis and Treatment of Urinary Incontinence (UrInO-DSS): A System Framework

Journal of Urological Surgery, 2023
Objective: To design an ontology-based clinical decision support system based on a clinical guideline for urinary incontinence.Materials and Methods:The study will be conducted in four phases: Updating the adapted clinical guideline for urinary ...
Fatemeh Sadeghi-Ghyassi, Shahla Damanabi, Leila R. Kalankesh, Stijn Van de Velde, Mohammad-Reza Feizi-Derakhshi, Sakineh Hajebrahimi   +5 more
doaj   +1 more source

First Steps of Asthma Management with a Personalized Ontology Model

Future Internet, 2022
Asthma is a chronic respiratory disease characterized by severe inflammation of the bronchial mucosa. Allergic asthma is the most common form of this health issue.
Hicham Ajami, Hamid Mcheick, Catherine Laprise   +2 more
doaj   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source