Results 101 to 110 of about 393,034 (277)

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

open access: yesAdvanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi   +3 more
wiley   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Retraction with face saving: Modelling conversational interaction through dynamic hypermedia [PDF]

open access: yes, 1994
This paper describes RWFS (Retraction With Face Saving), a hypermedia application which models an interview between a lawyer and his client ‐ a lorry driver ‐ facing court charges of reckless driving.
Bolognesi, Roberto   +7 more
core   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

Interactive and Interactional Markers in ISI and Non-ISI Applied Linguistic Journal Articles Written by Iranian Authors: A Contrastive Meta-Discourse Analysis of Method Section [PDF]

open access: yesJournal of Modern Research in English Language Studies, 2017
Meta-discourse as a self-reflective linguistic tool has received considerable attention in recent years. Besides, it plays a leading role in exploring variations in the way authors pen a manuscript.
Farid Ghaemi, Giti Sabadoust
doaj  

Perspectives on Arabic linguistics XXXI: papers from the Annual Symposium on Arabic Linguistics, Norman, Oklahoma, 2017 Studies in Arabic linguistics ;, 8./ edited by Amel Khalfaoui, Youssef A. Haddad.

open access: yes, 2019
Includes bibliographical references and index.This volume brings together ten peer-reviewed articles on Arabic linguistics. The articles are distributed over three parts: phonetics and phonology, sociolinguistics and pragmatics, and language acquisition.
Haddad Youssef A.,, Khalfaoui Amel
core  

A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis

open access: yesAdvanced Intelligent Systems, EarlyView.
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen   +3 more
wiley   +1 more source

Close-recurrence analysis: a mixed-methods tool for studying joint attention in mobile interaction

open access: yesFrontiers in Communication
A foundational aspect of social interaction is the phenomenon of joint attention, typically defined as a shared focus between two or more interlocutors on a particular subject, object or event.
Julie Janssens   +3 more
doaj   +1 more source

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou   +5 more
wiley   +1 more source

A Generalizable Framework for Building Executable Domain‐Specific Large Language Models Under Data Scarcity: Demonstration on Semiconductor Technology Computer‐Aided Design Simulation

open access: yesAdvanced Intelligent Systems, EarlyView.
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang   +4 more
wiley   +1 more source

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