Results 51 to 60 of about 227,245 (293)
Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly+4 more
wiley +1 more source
Advanced Error Recovery during Top-Down Parsing [PDF]
Syntaktický analyzátor je jednou z nejdůležitějších částí překladače při často používaném přístupu syntaxí řízený překlad. Při tomto přístupu řídí syntaktický analyzátor sémantické akce a generování abstraktního syntaktického stromu.
Obluková, Alena
core
The SciAgents AI model drives hypothesis generation by harnessing multi‐agent graph reasoning, extracting insights from knowledge graphs constructed from scientific papers. Each agent plays a specific role: the Ontologist defines concepts, the Scientists draft and refine proposals, and the Critic reviews.
Alireza Ghafarollahi, Markus J. Buehler
wiley +1 more source
Automatic evaluation of top-down predictive parsing [PDF]
We develop efficient methods to check whether two given Context-Free Grammars (CFGs) are transformed into parsers that recognize the same language and construct the same Abstract Syntax Trees (ASTs) for each input. In this setting, we consider a model of
Creus, Carles+3 more
core +1 more source
From Lab to Life: Self‐Powered Sweat Sensors and Their Future in Personal Health Monitoring
This review focuses on recent advances in self‐powered sweat sensors in personal health monitoring, including sweat sensors, energy harvesters, energy management, and their applications. It analyzes the difficulties and challenges in the research field of self‐powered sweat sensors and looks into the future direction of self‐powered sweat sensors from ...
Nan Gao+3 more
wiley +1 more source
LLLR Parsing: a Combination of LL and LR Parsing [PDF]
A new parsing method called LLLR parsing is defined and a method for producing LLLR parsers is described. An LLLR parser uses an LL parser as its backbone and parses as much of its input string using LL parsing as possible.
core +1 more source
This work explores the process of morning awakening of the human brain using polysomnography paired with simultaneous stereo‐electroencephalography, a method that provides high spatial and temporal resolution for examining brain activity. Awakening is characterized by an increase in high‐frequency spectral power and connectivity.
Tamir Avigdor+5 more
wiley +1 more source
Abstract This study investigated the psychological characteristics of online learning on Italian students with and without hearing loss (HL) and on their parents, who were forced into isolation during the Covid‐19 pandemic. An online survey collected information on socio‐demographic data and opinions concerning online learning from 61 children (mean ...
Bianca Maria Serena Inguscio+6 more
wiley +1 more source
An Efficient Implementation of the Head-Corner Parser [PDF]
This paper describes an efficient and robust implementation of a bi-directional, head-driven parser for constraint-based grammars. This parser is developed for the OVIS system: a Dutch spoken dialogue system in which information about public transport ...
van Noord, Gertjan
core +6 more sources
Latent-Variable PCFGs: Background and Applications [PDF]
Latent-variable probabilistic context-free grammars are latent-variable models that are based on context-free grammars. Nonterminals are associated with latent states that provide contextual information during the top-down rewriting process of the ...
Cohen, Shay
core +2 more sources