Results 131 to 140 of about 8,860,193 (293)

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

open access: yesAdvanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali   +3 more
wiley   +1 more source

Acceleration of Covariance Models for Non-coding RNA Search

open access: yes, 2008
based models for non-coding RNA (ncRNA) gene searches are much more powerful than regular grammar based models due to the ability to model intermolecular base pairing.
Abstract-stochastic Context-free Grammar (scfg
core  

Ultrathin, Fully Solution‐Processed P(VDF‐TrFE) Piezoelectric Sensor Matrix for Electronic Skin

open access: yesAdvanced Electronic Materials, EarlyView.
An ultrathin, fully solution‐processed 4×$\times$4 piezoelectric sensor array is developed for skinconformal electronicskin applications. The device integrates inkjetprinted polymer electrodes with a 226 nm P(VDFTrFE) active layer on a 4.53 μm$\umu{\rm m}$ Parylene C substrate, enabling extreme flexibility and robust tactile sensing. The array exhibits
Ninja Kajas   +4 more
wiley   +1 more source

Experimentally Determined Spatiotemporal Charge Carrier Dynamics for the Development of Particulate Photocatalysts

open access: yesAdvanced Energy Materials, EarlyView.
This review looks at the different experimental techniques that measure spatiotemporal charge carrier dynamics. This information is viewed in the context of particulate photocatalysts, outlining the insights these techniques provide and how they advance our understanding.
Sutripto Khasnabis, Robert Godin
wiley   +1 more source

Redefining the Role of Splenectomy in Scirrhous Gastric Cancer: Toward a Selective Multimodal Strategy

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Scirrhous gastric cancer, characterized by diffuse infiltration and a high propensity for peritoneal dissemination, remains one of the most aggressive subtypes of gastric cancer. Despite a relatively high incidence of splenic hilar lymph node (No. 10) metastasis, the oncologic benefit of splenectomy remains controversial, while its association
Tsutomu Hayashi, Takaki Yoshikawa
wiley   +1 more source

Cross-Domain Feature Enhancement-Based Password Guessing Method for Small Samples

open access: yesEntropy
As a crucial component of account protection system evaluation and intrusion detection, the advancement of password guessing technology encounters challenges due to its reliance on password data. In password guessing research, there is a conflict between
Cheng Liu   +7 more
doaj   +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

Context-Free Grammar Parsing by Message Passing

open access: yes, 1993
A message passing algorithm for parsing contextfree grammars (CFG) is presented. The grammar is represented by a network, whose nodes represent rules and non-terminals and whose links represent the structural relationships between the rules and non ...
Randy Goebel, Dekang Lin
core  

On the size of unambigous context-free grammars

open access: yesTheoretical Computer Science, 1986
It is shown that every unambiguous CFG with p productions has size at least 2p-1.
openaire   +3 more sources

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

open access: yesAdvanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen   +3 more
wiley   +1 more source

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