Results 111 to 120 of about 14,533,057 (306)
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 +4 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
Advanced 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
Logical-Linguistic Model of Diagnostics of Electric Drives with Sensors Support. [PDF]
Sensors (Basel), 2020 Nikitin Y, Božek P, Peterka J.
europepmc +1 more source
A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis
Advanced 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
, 1950 Detail, Temple of Dionysus at lowest point, center, Temple of Trajan (2nd century CE) in courtyard, theater, lower right; Pergamon was an ancient Greek city in Asia Minor (now Bergama, Turkey), later part of the Roman Empire.
unknown (German model maker)
core
Linguistics and PhilosophyAbstract This paper develops a formal methodology for capturing and representing the semantics of causal expressions in natural languages. Focusing on two causative constructions—covert causatives (change-of-state verbs) and overt causatives (the verb cause)—it provides a proof of concept for analyzing the distinguished meanings of different ...
Rebekah Baglini +1 more
openaire +2 more sources
Advanced 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
MODELS OF SPEECH IN LINGUISTICS
Kodo Keiryogaku (The Japanese Journal of Behaviormetrics), 1995 A brief rough sketch of the characteristics of some selected fields of speech sciences was followed by a review of the recent models of speech sounds in phonology. In the review part of the article, priority was given to the problems of the representation of speech rather than the phonological rules.
openaire +1 more source
Advanced 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
AI &Innovation, EarlyView.ABSTRACT Maintaining an effective balance between exploration and exploitation is essential during optimization processes, from mathematical functions to more complex problems such as constrained engineering design optimization, particularly when addressing highly nonlinear issues with numerous local optima and strict feasibility requirements.
Enrique Lizárraga +3 more
wiley +1 more source