Results 101 to 110 of about 853,051 (231)

Intensional Conceptualization Model and Its Language for Open Distributed Environments

AppliedMath
This paper introduces the Intensional Conceptualization Model for Open Environments (ICMOE), a formal framework designed to enable semantic integration in dynamic and distributed systems. Grounded in intensional logic and formalized via a domain-specific
Khaled Badawy, Aleksander Essex, AbdulMutalib Wahaishi   +2 more
doaj   +1 more source

Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context

Agribusiness, EarlyView.
Alexis H. Villacis
wiley   +1 more source

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

Advanced Intelligent Discovery, EarlyView.
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong, Lejia Wang, Tianqing Zhu, Keith Butler, Sichao Li   +4 more
wiley   +1 more source

Prediction of Students’ Grade by Combining Educational Knowledge Graph and Collaborative Filtering

IEEE Access
Traditional collaborative filtering-based grade prediction methods overly rely on students’ historical grades and overlook the content correlation between courses, resulting in lower accuracy in predicting student grades.
Yiwen Zhang, Vladimir Y. Mariano, Rex P. Bringula   +2 more
doaj   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

Impact éloquent des mots empruntés et arabisés dans la traduction: Analyse des emprunts lexicaux dans les œuvres d’Al-Ghazāli «Al-munqid Min Addalâl (Erreur et Délivrance)» et «Le livre des Bons Usages en Matière de Mariage»

Traduction et Langues
Eloquent Impact of Borrowed and Arabicized Words in Translation: Analysis of loanwords in Al- Ghazāli’s work «'Al-munqid min addalâl (Erreur et Délivrance)» and «Le livre des Bons Usages en Matière de Mariage» The Arabisation of words is a common ...
Ouazar Louiza
doaj   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

Advanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin, Seongho Lee, Seulchan Kim, Ho‐Il Ji, Joonhee Kang   +4 more
wiley   +1 more source

From Word2Vec to Transformers: Text‐Derived Composition Embeddings for Filtering Combinatorial Electrocatalysts

Advanced Intelligent Discovery, EarlyView.
With the downstream filter held fixed, text‐derived composition representations produce distinct screening outcomes across 14 electrocatalyst libraries. Embedding model and composition encoding control the trade‐off between candidate reduction and preservation of the best measured current.
Lei Zhang, Markus Stricker
wiley   +1 more source

A statistical rethinking of semantic richness in free generation tasks and semantic norms

The aim of this project is to serve as a repository for the simulation results associated with the paper “A Statistical Rethinking of Semantic Richness in Free Generation Tasks and Semantic Norms.” Please note that the repository contains large ...
Sergio Chaigneau, Felipe Toro Hernández, Enrique Canessa, Rodrigo Adrían Lagos, Felipe Andrés Medina Marín   +4 more
core  

An ERP Investigation of Semantic Richness Dynamics: Multidimensionality vs. Task Demands

, 2016
Semantic richness is a multidimensional and dynamic construct that can be defined as the amount of semantic information a word possesses. In this thesis, the semantic richness dimensions of number of associates, number of semantic neighbours, and body ...
Lopez Zunini, Rocio Adriana
core   +1 more source