Results 111 to 120 of about 388,626 (336)
Early detection of risk of reading difficulties using a working memory assessment battery
British Educational Research Journal, Volume 48, Issue 6, Page 1183-1197, December 2022., 2022 Abstract Research suggests a role for aspects of the working memory system in reading. While much of the evidence points to a role for working memory capacity and the phonological loop, more recent work indicates a role for the central executive component, although findings remain unclear.
Susan J. Atkinson, Colin R. Martin
wiley +1 more source
Deep Learning Methods in Soft Robotics: Architectures and Applications
Advanced Intelligent Systems, EarlyView.Soft robotics has seen intense research over the past two decades and offers a promising approach for future robotic applications. However, standard industrial methods may be challenging to apply to soft robots. Recent advances in deep learning provide powerful tools to analyze and design complex soft machines that can operate in unstructured ...
Tomáš Čakurda +3 more
wiley +1 more source
ON THE RELATION BETWEEN SEMANTIC AND SYNTACTIC REPRESENTATIONS (With Special Reference to the Semantic Analysis of Some Estonian Words) [PDF]
, 1970 Haldur Õim
openalex +1 more source
Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces
Advanced Intelligent Systems, EarlyView.This review summarizes machine learning (ML)‐assisted simulations and predictions at battery interfaces. It highlights how employing ML algorithms with machine vision, enables the lithium dendrite growth simulation, the solid–electrolyte interphase formation, and other interfacial dynamics.
Zhaojun Sun +4 more
wiley +1 more source
Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning [PDF]
arXivZero-shot learning (ZSL) recognizes the unseen classes by conducting visual-semantic interactions to transfer semantic knowledge from seen classes to unseen ones, supported by semantic information (e.g., attributes). However, existing ZSL methods simply extract visual features using a pre-trained network backbone (i.e., CNN or ViT), which fail to learn
arxiv
Advanced Intelligent Systems, EarlyView.This study develops a deep learning‐based pipeline named π‐PhenoDrug for cell phenotype‐driven drug activity screening. π‐PhenoDrug integrates cell segmentation, morphological profile construction, and phenotype analysis modules, and it can assess drug effects on living cells in both supervised and unsupervised modes.
Xiao Li +7 more
wiley +1 more source
Learning Semantic Concepts and Order for Image and Sentence Matching [PDF]
arXiv, 2017 Image and sentence matching has made great progress recently, but it remains challenging due to the large visual-semantic discrepancy. This mainly arises from that the representation of pixel-level image usually lacks of high-level semantic information as in its matched sentence.
arxiv
Definitional verbal patterns for semantic relation extraction [PDF]
, 2008 Gerardo Sierra +3 more
openalex +1 more source
Phenobot: An Autodigital Modeling System for in situ Phenotyping in Horticulture
Advanced Intelligent Systems, EarlyView.This study introduces a robotic phenotyping system for precision agriculture, integrating environmental understanding, motion planning, and in situ plant phenotyping. The system autonomously navigates through real‐world agricultural environments, collects high‐quality plant data, and reconstructs accurate 3D plant models. Results demonstrate the system'
Kewei Hu +5 more
wiley +1 more source
Frontiers in Psychology, 2019 Evidence from behavior, computational linguistics, and neuroscience studies supported that semantic knowledge is represented in (at least) two semantic systems (i.e., taxonomic and thematic systems).
Pingping Xu +8 more
doaj +1 more source